Frequently Asked Questions

Yes. We deploy on your own infrastructure using open-weight models, local vector databases, and self-hosted inference. All data, model weights, and inference stay inside your network. This is the standard pattern for defence, government, banking, and healthcare buyers, and it is the same architecture we ship in our own product, Visylix, which runs 100 percent on-premise and is air-gap compatible.

Yes, and we prefer it. We deploy into your cloud, your on-premise hardware, or an air-gapped environment using open-weight models and self-hosted inference where required. We do not require our platform or tooling as a condition of the work, so there is no lock-in cost after the engagement ends and your team can operate the system without us.

Yes. We work to ISO 42001 for AI management systems, the EU AI Act risk classification, the NIST AI Risk Management Framework, GDPR, and India DPDP Act. For regulated buyers we map the applicable sector framework, including HIPAA and CJIS. Governance designed after deployment is remediation, so we scope it into the roadmap rather than bolting it on.

Yes. Rescue engagements are common. We start with an honest assessment of what exists: whether the model is salvageable, whether the data pipeline is sound, and what it would cost to finish versus rebuild. Sometimes the answer is that the previous work should be kept and completed, and sometimes it is that the foundation will not hold. We tell you which before you commit budget.

Yes. Aptibit develops retrieval-augmented generation (RAG) systems, custom AI agents, LLM fine-tuning pipelines, and AI copilots for enterprise workflows using the latest foundation models.

Yes. Aptibit builds agentic AI systems that autonomously handle complex multi-step workflows. Our AI agents use foundation models with tool use, retrieval-augmented generation, and multi-step reasoning to automate enterprise processes including customer service, document processing, and workflow orchestration.

Yes. From product design and prototyping through full-stack development, testing, deployment, and ongoing support, Aptibit handles the entire product lifecycle.

We offer fully on premise deployment using open source models so your data never leaves your infrastructure. For cloud deployments, we use private endpoints, encrypt data at rest and in transit, and implement access controls that meet enterprise compliance standards.

We use retrieval augmented generation to ground responses in your verified data. Combined with citation tracking, confidence scoring, and output validation, our systems deliver accurate and verifiable results. We continuously monitor and improve accuracy post deployment.

We are engineers who ship a product, so our strategy work is constrained by what actually gets built. Visylix, our enterprise AI video platform, runs 22 AI analytics and a fully on-premise copilot on customer infrastructure. That means our cost estimates come from having paid those costs, and our feasibility calls come from having hit those walls. Big Four firms bring brand, scale, and change management we do not. If you need a board-facing transformation program across 20 business units, they are a better fit. If you need a roadmap that survives contact with engineering, we are.

A production deployment typically runs 4 to 9 months. Data engineering is the biggest schedule variable and routinely consumes 30 to 50 percent of the engineering budget. Compliance-heavy sectors add time for security review, DPIA, and audit evidence.

A focused proof-of-concept typically runs 4 to 8 weeks. A production deployment typically runs 4 to 9 months depending on data readiness, integration surface, and compliance requirements. The single biggest schedule variable is data engineering, which routinely consumes 30 to 50 percent of the total engineering budget and is the most commonly underestimated part of the plan.

Taking a validated POC into production typically costs $80,000 to $300,000 depending on data readiness, integration surface, and compliance requirements. Budget ongoing operations at 15 to 30 percent of the build cost annually for monitoring, retraining, and infrastructure. Production deployment usually costs 3 to 10 times the POC, which is the single most common budgeting mistake we see.

A focused readiness assessment and roadmap typically costs $15,000 to $50,000 over 3 to 6 weeks. A broader portfolio strategy across multiple business domains typically costs $50,000 to $150,000. For comparison, consulting-led AI transformation programs from large firms typically run $2,000,000 to $30,000,000. Indian partners price 50 to 70 percent below US and Western European equivalents.

A focused proof-of-concept that validates one hypothesis on one dataset typically costs $25,000 to $80,000 over 4 to 8 weeks. A production-grade custom AI system with data pipelines, MLOps tooling, and integration typically costs $80,000 to $300,000. A multi-model enterprise platform with real-time inference and edge deployment often exceeds $500,000. Ongoing operational costs including retraining, monitoring, and infrastructure should be budgeted at 15 to 30 percent of the initial build cost annually. Indian partners deliver equivalent engineering rigor at 50 to 70 percent below US and Western European rates.

Yes, with the right architecture. We build production systems with guardrails, monitoring, fallback mechanisms, and human in the loop workflows. Our solutions handle thousands of queries per minute with consistent quality and sub second response times.

Aptibit Technologies offers AI & machine learning development, computer vision, NLP & generative AI, full-stack software engineering, product design (UI/UX), digital marketing, cloud & DevOps, and data engineering services.

AI implementation services take a validated AI idea and turn it into a system that runs in production and is actually used. The work covers data engineering, model deployment, MLOps infrastructure, integration into the systems your team already uses, and the change management that determines adoption. Implementation is distinct from AI strategy, which decides what to build, and from a proof of concept, which only tests whether it is feasible.

security controls mapped to ISO 27001, ISO 42001 readiness for AI management systems, GDPR engineering for European buyers, India DPDP Act compliance, and NDAA 889 alignment. For regulated buyers we work to the sector framework that applies, including HIPAA for healthcare and CJIS for public safety.

A defensible answer to four questions: which problems in your business are genuinely worth solving with AI, whether your data can support them, what each one would cost to take to production, and in what order to sequence them. The deliverable should be a costed roadmap you can fund, not a maturity model. If a strategy engagement ends without a number next to each initiative, it has not done its job.

A basic RAG application typically takes 4 to 8 weeks to build. A full AI copilot with multiple tools and integrations takes 10 to 16 weeks. We provide detailed cost estimates after scoping your use case, data volume, and deployment requirements.

We build custom LLM applications, retrieval augmented generation pipelines, AI copilots, content generation systems, code generation tools, and image synthesis solutions. Every solution is tailored to your data, workflows, and security requirements.

A structured audit of whether your organisation can actually execute AI: data availability and quality, engineering maturity to operate the delivered systems, integration surface, compliance constraints, and whether there is an accountable owner for outcomes. Readiness is the strongest predictor of whether an AI program succeeds, and it is almost entirely independent of the model or vendor you choose.

Custom AI development is the process of building an AI system around a specific business problem rather than buying a general-purpose product. It covers problem specification, data engineering, model selection or training, evaluation, MLOps infrastructure, and integration into the systems your team already uses. The distinguishing feature of custom AI is that the model, the data pipeline, and the operational workflow are designed for one organization rather than for a market average.

AI project timelines vary by scope. A proof of concept typically takes 2-4 weeks, an MVP takes 6-12 weeks, and a full production deployment takes 3-6 months. We follow agile methodology with bi-weekly demos and continuous delivery.

We ship a product. Visylix, our enterprise AI video management platform, runs 22 AI analytics and a fully on-premise copilot on customer infrastructure. The team that built it delivers client engagements, so the engineering is validated by something we operate ourselves rather than only by slideware. We price against production deployment rather than consulting deliverables, and we name the engineers who will do the work during procurement.

Build custom when the problem is specific to your operation, when your data is a genuine advantage, when the workflow integration is the hard part, or when data sovereignty rules out a cloud product. Buy off-the-shelf when the problem is generic (transcription, translation, common document extraction), when a mature product already solves it, or when speed matters more than fit. Most enterprises should buy the commodity layer and build only where the business differentiation actually lives.

You do. Our engagements are structured so that the models, code, pipelines, and trained weights are the client's property, deployable on infrastructure you control. We do not require our platform, our cloud, or our tooling as a condition of the work, which means there is no lock-in cost after the engagement ends.

The most common failure is a proof of concept that was never scoped to become a product. The pilot works on a clean dataset, then the cost of data engineering, integration, monitoring, and user adoption surfaces and the program stalls. Other recurring causes are no operational owner, no MLOps so accuracy quietly decays, and building a system the client team cannot run without the vendor. The engagement structure predicts the outcome more reliably than the model choice.

Yes, and we do it regularly. Rules beat machine learning for many problems. Off-the-shelf products beat custom builds for commodity capabilities. Some problems are not learnable with the data available. We would rather tell you that in week two of a strategy engagement than take a build contract we do not believe in and have it fail in month eight.

Yes. A dry-run test shows exactly what a rule’s actions would do if it fired right now, with no side effects, including which physical-action request is held because the rule is not yet armed. Every real fire is also traced, so you can see afterwards precisely which actions ran, were held, or were skipped.

Yes. A rule can cross a video condition with an access-control event from your ACS. For example, a person detected on a camera correlated with a denied badge at the same door surfaces a likely forced-entry or tailgating attempt as a single alert on one wall. Sudarshan reuses the door-to-camera mapping already provided by the access-control integration, and the correlation runs on-premise.

Yes. It works with IR-equipped cameras (850/940 nm illumination) to read plates in complete darkness.

Yes. Operators can define maximum capacity thresholds per zone. When counts approach or breach these thresholds, Visylix triggers near-instant notifications, enabling proactive crowd control and emergency response.

Yes. Visylix Face Recognition is designed for 24/7 operation and gracefully handles challenging conditions including low light, partial occlusion, varied angles, and high crowd density, ensuring reliable identification around the clock.

Yes. Visylix Heat Map Generation uses perspective mapping to map camera-view heatmaps onto architectural floor plans, providing a unified spatial view across your entire facility that can be exported in PNG, JPEG, JSON matrix, or CSV formats.

Yes. Visylix Intrusion Detection supports object class filtering to trigger alerts only on specific categories such as persons, vehicles, or other object types per zone. This reduces false positives and ensures alerts are relevant to the security scenario.

Yes. Each virtual line supports configurable direction rules: A-to-B only, B-to-A only, or bidirectional counting. This enables accurate entry and exit differentiation, directional flow analysis, and perimeter monitoring with per-direction triggering.

Yes. Visylix Motion Detection integrates with PTZ cameras to automatically recall presets and engage auto-tracking when motion is detected in a defined zone, keeping the subject centered in frame while supporting scheduled arming profiles for different times of day.

Yes. The model includes predictive motion models and occlusion-aware appearance re-matching that recover tracks after brief occlusions caused by pillars, crowds, or other obstructions, supporting hundreds of concurrent tracks per camera in real time.

Yes. Visylix Pose Estimation uses a top-down multi-person pipeline that tracks skeletons for 50+ people simultaneously within the same frame, with persistent identity across consecutive frames.

Yes. Plate journeys provide exact cross-camera vehicle tracking: the same plate seen at camera A and then camera B is linked into a chronological path with travel times between cameras. Because it matches on the exact plate string rather than appearance, it is precise vehicle tracking. You can also ask for it in plain language through Radha, for example "track that vehicle across the site". Everything runs on-premise.

Yes. Rules combine conditions with ANY (OR) or ALL (AND); an ALL rule fires only when every condition co-occurs on the same camera inside a time window. Actions include glowing the tile, notifying a channel, starting a recording, and calling a webhook, SIEM, PSIM or MQTT. Physical actions such as a siren or an access-control door lock are dispatched as a notification requesting that action on the integrated system; Visylix does not actuate the hardware itself. Those actions are also held disarmed until an administrator explicitly arms the rule, so the alert always fires but the physical request requires a deliberate human decision first.

Yes. Speed Estimation works alongside license-plate recognition, so an over-speed event can carry the vehicle plate. Once a camera is calibrated, it continuously estimates speed for vehicles in the scene.

No. Instead of hand-drawing every bay, Visylix can watch where vehicles actually park over a few days and then propose the slot polygons for the operator to confirm, auto-mapping the lot. You review and adjust the suggestions rather than drawing each space from scratch.

Yes, under operator control. Acknowledging an alert, or dismissing it with a one-tap reason (false alarm, fog or steam, known person, duplicate), builds the alarm-quality record. From that record the board proposes a bounded threshold retune for a noisy source, and an operator reviews and applies it with one click. Underneath, motion, audio, crowd, and camera-tampering each maintain a per-camera scene baseline, and anomaly detection trains a baseline per camera, so each learns its own view's normal. Nothing retrains itself from operator feedback. Every adjustment is bounded, reversible, operator-supervised, survives restarts, and runs on-premise.

No. All inference, watch evaluation, and overlay assembly run inside your own infrastructure. No frames, detections, or watches are sent to any external service, so Sudarshan works in fully air-gapped, on-premise deployments without modification. Overlay delivery is sub-second, with server-side fan-out measured under 2 milliseconds at p95.

Yes. Visylix AI Analytics features hardware-adaptive inference supporting both GPU and CPU platforms, with per-stream AI configuration for maximum flexibility.

Yes, in a bounded way. When an operator dismisses a false PPE alert on a camera, that camera's confidence threshold tightens automatically. By design this can only make the compliance check more conservative, never less, and a drift-freeze guard reverts a runaway camera to its baseline. The calibration is reversible, operator-supervised, and runs entirely on-premise.

Yes. Each camera learns its own ambient noise ceiling so steady background sound stops triggering it, and when an operator dismisses a false acoustic alert that camera's sensitivity tightens by a bounded step. The learning is reversible, operator-supervised, and runs entirely on-premise.

Yes. Crowd density thresholds auto-calibrate from what each camera actually sees, so alerts reflect that scene's real capacity rather than a generic number. The adaptation is bounded, operator-supervised, and runs entirely on-premise.

Yes, in a bounded way. Each enrolled identity's template is refined from confirmed matches over time, so recognition of the people you see most gets steadily better, guarded by anti-poisoning drift checks so a bad capture cannot corrupt an enrolment. The refinement is bounded, reversible, operator-supervised, and runs entirely on your hardware. No face data is sent to any cloud.

Yes, in a bounded way. When an operator dismisses a false fire or smoke alert on a camera, that camera's confidence threshold tightens automatically. By design this can only make the detector more conservative, never less sensitive to a real fire, and a drift-freeze guard reverts a runaway camera to its baseline. The calibration is reversible, operator-supervised, and runs entirely on-premise.

Yes. Line crossing produces in, out, and net people counts per line with hourly breakdowns and a dashboard, not just individual crossing events. This is the directional people-counting product that retail and facilities teams expect, so a doorway or corridor line reports live occupancy flow and historical trends.

Yes. Its adaptive background model learns each camera's ambient movement so routine foliage, traffic, and gradual lighting changes stop triggering it, and it keeps adjusting as the scene changes. The learning is bounded, operator-supervised, and runs entirely on-premise.

Yes, in a bounded way. When an operator dismisses a false detection alert on a camera, that camera's confidence threshold tightens automatically, so a scene that keeps producing nuisance alerts becomes quieter without dulling other cameras. The calibration is bounded, reversible, operator-supervised, and runs entirely on-premise. The base detector itself is a conventional trained model.

No. Visylix Parking Occupancy uses existing overhead or wide-area cameras with no per-space sensors. It monitors each parking slot for a vehicle, reports overall lot occupancy in real time, and alerts when the lot reaches capacity.

Yes. In GPU mode with NVIDIA CUDA, Visylix supports GPU-accelerated real-time inference for object detection, recommended for production deployments. CPU-only mode runs at a reduced frame rate and stream count, ideal for testing and small deployments; we size it on your own hardware during the proof of concept. The engine automatically detects available hardware and selects the optimal inference mode.

No. It runs on any camera covering a door, turnstile, or mantrap with no extra hardware. Without an access-control system it does group-crossing detection, alerting when several people cross together. Directional entry-side logic separates genuine tailgating from people leaving or walking past, and a configurable people count and time window tune it to each doorway.

Yes, in a bounded way. When an operator dismisses a false weapon alert on a camera, that camera's confidence threshold tightens automatically. By design this can only make the detector more conservative, never less sensitive, and a drift-freeze guard reverts a runaway camera to its baseline. The calibration is reversible, operator-supervised, and runs entirely on-premise.

No. It complements rule-based analytics rather than replacing them. It catches unforeseen events that fixed rules were never set up to look for, and it adapts to each scene as conditions change.

No. The model ignores vehicles merely driving past, so occupancy stays accurate. Per-slot occupied or free status and an overall occupancy percentage can feed signage and availability apps.

No. It runs on the standard cameras you already have, using visual analysis, with no dedicated fire, smoke, or thermal sensors to install. You can tune sensitivity per camera and restrict detection to the zones that matter.

Yes. The model follows each object separately and stays accurate even when people briefly pass in front of the object, so a busy scene does not reset the timer or trigger missed alerts. An optional removed-object mode also alerts when a long-stationary fixture disappears.

Visylix Face Recognition is a verification-grade embedding model with per-camera-calibrated false-accept thresholds, so you tune the security-versus-convenience balance for each door or camera. Real-world accuracy depends on camera placement, lighting, and gallery quality, and is best validated against your own footage during a pilot rather than a single headline number.

Every overlay frame is filtered on the server against your licence before it is sent. Unlicensed model data never reaches the browser, so the boundary cannot be bypassed from the client or by inspecting network traffic. Overlays are also scoped per camera and appear only on cameras explicitly configured for AI. Live Intelligence is included with Visylix AI licences.

Sudarshan scores every alert for dispatch priority and measures which alert sources actually earn an operator response, then suggests retunes for the noisy ones. This turns a firehose of alerts into a ranked, actionable queue. The scoring is inspired by ISA-18.2 alarm rationalization and AVS-01 dispatch scoring, and is designed to help operators, not to certify compliance.

The classic failure in rule engines is a rule that looks configured but never fires because the condition it references drifted apart from what the engine actually evaluates. Sudarshan makes that impossible by construction: the builder only offers a condition when the AI model behind it is licensed and enabled on every selected camera, the condition vocabulary is the exact set the engine evaluates and is pinned by contract tests, and a rule that has never fired, has an unarmed physical action, or references a now-unlicensed model is surfaced on a health board. A dead rule is caught, never hidden.

Visylix Anomaly Detection learns what normal looks like for each individual camera and alerts on activity that deviates from it, with no rules, zones, or labels to configure. A short learning period runs when you enable it, after which the camera continuously watches for the unexpected.

Visylix Audio Event Detection listens to the audio from cameras that carry a microphone and raises a critical alert the moment a gunshot, breaking glass, or scream is confirmed. It confirms a sound across several consecutive one-second windows before alerting to suppress false alarms, and is designed as an assistive alert for a human operator to verify and escalate.

Each camera learns its own environment and adapts to gradual lighting changes, day and night cycles, and weather. A tamper condition must persist before it fires, so a person walking past or a light switching on does not trigger a false alarm. Warmup and per-camera sensitivity controls tune detection for indoor, outdoor, and low-light scenes.

Visylix Crowd Detection uses a regression-based density estimation network that predicts per-pixel crowd counts without requiring individual person detections. This approach scales from sparse areas to ultra-dense environments where traditional bounding-box detectors fail. Real-world counting accuracy depends on camera angle and coverage and is best validated against your own footage during a pilot.

Visylix Abandoned Object Detection raises an alert only when an object stays in place beyond a configurable time and no owner remains nearby. Because it follows each object individually, it distinguishes a genuinely abandoned bag from one that is briefly set down and picked up again, which dramatically reduces false alarms.

Visylix Speed Estimation reports real vehicle speed from your cameras using a one-time per-camera calibration, and alerts when a vehicle exceeds the limit you set. It needs no radar or in-road sensors and works on highways, campuses, and yards.

Visylix Fire & Smoke Detection looks for visible flame and for smoke directly in the video from your existing cameras and raises an alert the instant either appears. In large indoor spaces and outdoors this is often long before smoke reaches a ceiling-mounted sensor. Fire raises a critical alert and smoke on its own raises a warning.

Visylix Intrusion Detection allows operators to draw polygonal boundaries with unlimited vertices on any camera view. Each zone supports independent rules for entry direction, minimum dwell time, object class filters, and schedule-based activation, enabling precise restricted area monitoring.

Queue readings are smoothed so they stay stable instead of jumping on every frame. Metrics are reported per zone and feed historical dashboards, giving managers reliable data for staffing decisions in retail, banking, and transport hubs.

Visylix Line Crossing Detection supports multiple virtual lines per camera, each with independent directional rules, object class filters, counters, and alert thresholds. This enables simultaneous monitoring of multiple entry points, corridors, or boundaries within a single camera view.

Visylix Motion Detection uses adaptive background modeling, chrominance-based shadow and reflection suppression, and configurable object-size filtering to distinguish genuine motion from environmental noise such as swaying trees, shifting shadows, and camera vibration. It learns each camera's ambient movement so routine foliage and traffic stop triggering it, keeping false alarms low with proper calibration.

Visylix Person Tracking fuses real-time object detection with an appearance embedding model that encodes each person into a compact descriptor, maintaining a continuous track for each individual within a camera view and recovering that track after occlusions. It also offers version 1 cross-camera appearance search: from any detection you can find appearance matches on the site's other cameras within a time window and assemble a chronological journey with travel times between cameras.

Visylix Pose Estimation classifies sudden changes in body orientation and velocity as fall events by analyzing the 17-keypoint skeleton data over time. Fall detection triggers alerts within 500 milliseconds, making it suitable for elder care facilities, industrial floors, and public safety monitoring.

Unlike simple headcount models that inflate totals every time a person re-enters a camera view, Visylix Unique Person Counting assigns temporary in-memory identities to recognize returning individuals within the counting window, delivering accurate de-duplicated visitor counts per camera by minute, hour, or day.

Visylix Weapon Detection looks for visible firearms and knives directly in the video from your existing cameras and raises a critical alert the moment one is confirmed. It confirms a weapon across several consecutive frames before alerting to suppress false alarms, and is designed as an assistive alert for a human operator to verify and escalate.

Visylix Safety Gear Detection alerts supervisors within seconds of detecting a PPE violation. Notifications can be delivered through dashboards, mobile push, SMS, email, or integrated PA systems, enabling immediate corrective action on the job site.

Most systems either draw boxes on every camera until the wall is unreadable, or hide AI behind a separate analytics tab. Sudarshan puts live overlays only where the operator is looking and a quiet, glanceable signal everywhere else. It also treats the live feed as sacred: overlays are a thin translucent layer that never covers, freezes, or degrades the video, and stale overlay data fades out rather than misleading the operator.

Visylix License Plate Recognition reads global plate formats with an India-optimized pipeline, including state-wise Indian formats and dual-row two-wheeler plates, and adapts character handling to regional standards.

Visylix Object Detection covers 80+ classes from the COCO taxonomy out of the box, including people, vehicles, animals, furniture, electronics, and everyday objects. Organizations can also add unlimited custom classes through a transfer-learning pipeline.

Yes. Visylix Unique Person Counting is privacy-preserving by design: all processing happens on-premise, de-duplication embeddings are held in memory only for the active counting window and then discarded, and no images, identities, or biometric templates are stored or leave your site — supporting GDPR and CCPA compliance programs.

No detector is perfect, and Visylix positions audio event detection as an assistive early-warning alert for operator review, not an autonomous action. It listens for gunshots, breaking glass, and screams, uses temporal confirmation and per-camera sensitivity to keep false alarms low, and links every alert to the triggering camera so a person can verify and respond quickly. The camera must have a microphone.

No detector is perfect, and Visylix positions weapon detection as an assistive early-warning alert for operator review, not an autonomous action. It detects visible weapons, uses temporal confirmation and per-camera sensitivity to keep false alarms low, and pairs every alert with a snapshot so a person can verify and respond quickly.

Visylix includes 22 production-ready AI analytics: face recognition, per-camera person tracking, ANPR (license plate recognition), object detection, crowd detection, pose estimation, PPE detection, heat map generation, motion detection, unique person counting, intrusion detection, line crossing detection, camera tampering detection, abandoned object detection, tailgating detection, queue and wait-time analytics, parking occupancy, speed estimation, anomaly detection, fire and smoke detection, weapon detection, and audio event detection. Motion, audio, crowd and tamper analytics maintain per-camera scene baselines, and anomaly detection trains a baseline per camera at runtime; the rest are conventional trained models. Detection accuracy depends on camera angle, lighting and scene, so we validate each analytic on your own footage during the proof of concept.

Sudarshan supports six live watch condition types: specific faces, specific plates, plate patterns, an object class inside a named zone (with minimum count and dwell time), line crossings in a chosen direction, and free-text semantic search over what the camera sees. You describe the condition in plain language and Sudarshan arms a live watch that flags the exact moment it happens on the wall.

Visylix Queue and Wait-Time Analytics measures queue length and average wait time per zone in real time, so teams can act before a line costs them a customer. When a queue exceeds the thresholds you set, it alerts staff to open a new counter.

Sudarshan Rules is a visual automation builder inside Sudarshan. Where a watch flags a moment for an operator, a rule acts on it automatically, around the clock. You build a rule as IF a condition, WHEN a schedule, THEN an action: for example, IF a person is detected on the loading dock, WHEN it is after 22:00, THEN glow the tile, notify the guard, and start a recording. It is designed for the people who run the video wall, with no scripting or query language.

Sudarshan is Visylix Live Intelligence: a real-time AI layer over your video wall that scales detail to operator attention. The feed an operator is focused on gets rich, live overlays (bounding boxes, tracks, faces, plates, zones, lines), while every other tile stays clean and shows only a signal when something needs attention. It also lets operators watch for anything in plain language and delivers alerts in context. It is named for the Sudarshan Chakra, the ever-vigilant, all-seeing discus.

Semantic anomaly detection is an opt-in mode that builds a per-camera memory of "normal" from the scene's own visual embeddings, so it catches unusual activity and out-of-place objects rather than just raw pixel change. It keeps separate day and night memories so nightfall does not trigger false alarms, never goes blind while it updates, and learns from operator dismissals. It needs zero configuration and runs on-premise, alongside the existing baseline mode.

Tailgating detection identifies when two or more people pass through a secured door on a single credential, a behavior also called piggybacking and one of the most common access-control breaches. Visylix alerts security in real time the moment more people pass through than were authorized.

Visylix Object Detection runs in real time on modern GPUs, enabling live bounding box overlay, labels, and confidence scores at full video rate for surveillance and analytics.

Visylix Camera Tampering Detection recognizes when a lens is knocked out of focus, covered for a blackout, blinded by a redirected bright light source, or when a camera is physically moved or its view is obstructed. Each condition raises a distinct tamper alert so operators know exactly what happened.

Visylix Safety Gear Detection identifies hard hats (including color-coded variants), high-visibility vests, safety glasses, gloves, ear protection, face shields, and steel-toed boots. Real-world detection rates depend on camera placement and lighting and are best validated against your own footage during a pilot.

Visylix generates two types of heat maps: dwell-time heatmaps that highlight areas where people spend the most time, and traffic-flow heatmaps that visualize the most frequently traversed paths and corridors, both with support for temporal comparison and floor-plan overlays.

Sudarshan draws live bounding boxes for twelve models on the focused feed: object detection, person tracking, face recognition, ANPR plate reading, pose estimation, PPE hard-hat compliance, intrusion zones, line crossing, crowd counting, fire and smoke, weapon (gun and knife), and abandoned object. Weapon boxes are shown only after temporal confirmation, so a single-frame false positive never flashes on the feed. Models that have no bounding box, such as acoustic events (gunshot, glass-break, scream), scene-level anomaly detection, camera tampering, and tailgating, still signal on the same wall through the alert lane with a tile ring, a rail entry, and a one-click drill-in.

Adaptation in Visylix is specific and bounded, not a blanket claim. Motion, audio, crowd and tamper analytics maintain per-camera scene baselines that adjust to gradual lighting, day and night cycles, and weather. Anomaly detection trains a baseline per camera at runtime, so it learns what normal looks like for that view. Where thresholds drift, operators receive retune suggestions they review and approve before anything changes. Nothing retrains itself from operator feedback without approval, and the remaining analytics are conventional trained models that do not self improve in place.

Yes. Pro tier and above include official Python and TypeScript SDKs covering the full 200+ REST API. Both SDKs support live stream control, recording management, AI detection queries, camera provisioning, RBAC operations, and webhook subscriptions with fully-typed request/response models.

Yes. The same container image runs in all five modes, so moving from a cloud pilot to on-premise, or adding edge sites to a central deployment, is a configuration and infrastructure change rather than a different product or a new licence.

Yes. Operators can say things like "show me all cameras in Building A", "start recording on camera 5", "configure face recognition on the lobby camera", or "show alerts from the last hour". Radha translates natural language into system actions and streams results back in real time using Server Sent Events.

Yes. Visylix provides NVR forensic access to recordings stored on external NVR devices from 15+ brands including OEMs including Hikvision, Dahua, Uniview, Axis, Bosch, Hanwha, Vivotek, Reolink, TP-Link VIGI, Tiandy, Milesight, Pelco, Avigilon, and any ONVIF Profile G device. Features include time-range search, multi-channel forensic grid, variable-speed playback up to 8x, and recording download with SHA-256 verification.

Yes, Visylix supports comprehensive scheduling automation. You can schedule recording start/stop times and AI model activation windows using once, daily, weekly, monthly, or cron-based schedules. Schedules execute in the background with staggered execution for simultaneous tasks, automatic failure recovery with retry, and orphan recovery after system restarts.

Yes. Visylix supports air-gapped and secure government-grade deployments with on-premise infrastructure, no external dependencies, and full offline operation capability.

Yes. Visylix supports on-premise, private cloud, hybrid, and fully air-gapped deployment. The entire system operates without internet after initial installation. Installation takes under 5 minutes with a single command that auto-detects hardware and tunes database pools, worker counts, and connection limits. Online, offline, and Windows installers are available.

Yes. Visylix automatically transcodes H.265 (HEVC) to H.264 in real time for browsers and clients that lack HEVC hardware support. Audio transcoding (G.711, AAC → Opus) happens server-side for WebRTC delivery with proper sample-rate conversion and channel remapping, so operators never have to think about codec compatibility.

Yes. Visylix streams alerts, detections, and audit events to SIEM platforms (Splunk, Elastic, Datadog, QRadar) via syslog, HTTPS webhook, or direct HEC. For PSIM, Visylix exposes outbound bridges to Bosch BIS, Genetec Security Center, and any PSIM that accepts CAP, JSON, or syslog events, centralizing video into command-and-control dashboards.

Yes, in a version 1 form. Cross-camera appearance search and person journeys ship today: pick a person from any detection and Visylix finds appearance matches on the site's other cameras within a time window and assembles a chronological path with travel times between cameras. Because it is appearance-based (visual similarity), it returns candidates for an operator to review rather than asserting identity automatically. A purpose-trained re-identification model for higher precision is in our training pipeline. For vehicles, plate journeys give exact cross-camera tracking by plate string. Both are available in plain language through Radha and run entirely on-premise.

Yes, Visylix supports both pull and push modes. In pull mode, the VMS connects to cameras via RTSP or ONVIF. In push mode, cameras can push streams to Visylix using RTMP or SRT protocols.

Yes, and small teams are unusually responsive to this. Feature requests come through support channels or directly, and requests that several customers need tend to move up. Enterprise engagements can also include custom development scoped separately from the roadmap.

Yes, per-user language preference independent of other users. Also supports automatic browser locale detection.

No. Visylix is software delivered as a container image. You run it on your own servers, virtual machines or your own cloud account. We do not sell cameras, appliances or hosting, which is a deliberate difference from vendors that bundle proprietary hardware.

Generally no, and we would rather say that than publish dates we cannot hold. Sequencing is directional. Where a specific capability is commercially critical to you, raise it during the proof of concept and we will tell you honestly whether it is realistic in your timeframe.

No. Radha runs entirely on premise, purpose-built on an on-premise language model. All conversations, commands, and data stay within your infrastructure. This makes Radha suitable for air gapped deployments, government facilities, and organizations with strict data sovereignty requirements.

Yes, and it is designed to get quieter over time. About 10 of the 22 models adapt to your site: face recognition refines each identity's template from confirmed matches with anti-poisoning guards; fire, weapon, PPE, and object detectors calibrate a per-camera false-alarm threshold from operator dismissals, which by design can only make a safety detector more conservative, never less, with a drift-freeze guard that reverts a runaway camera to baseline; and motion, audio, crowd, camera-tampering, and anomaly each learn their camera's own normal. All adaptation is bounded, reversible, operator-supervised, and runs on-premise. An opt-in, human-approved fine-tune queue can improve the detector models with eval-before-swap, so a new model only ships if it beats the old one. Nothing trains automatically and nothing leaves the premises.

Yes. The engine includes adaptive backpressure (dropping non-reference frames while preserving keyframes for slow subscribers) and a circuit breaker that monitors CPU load in real time, gracefully degrading service at 70%, 85%, and 95% CPU thresholds rather than crashing. New viewers receive the cached Group of Pictures instantly, eliminating the "waiting for keyframe" delay typical of other streaming systems.

Yes. The License Plate Recognition (ANPR/ALPR) model does more than read plates. It also classifies vehicle type (sedan, SUV, truck, motorcycle, bus), color, and general direction as a built-in capability, so every vehicle detection carries both a plate string and a rich appearance profile for downstream search and filtering.

Yes. Pro tier and above include WebAuthn / Passkeys (FIDO2) login, eliminating password reuse and phishing risk. Admins can enforce MFA (TOTP + recovery codes) at the Starter tier and passkey-only login for privileged roles.

Yes. Visylix ingests access-control events from HID (Origo/Mercury), Lenel S2 / OnGuard, AMAG Symmetry, Brivo, and Genea/Openpath via signature-verified webhooks, parsing each vendor's native event format. Every door event is automatically bookmarked against the mapped cameras, giving a unified badge-and-video timeline for investigations.

Yes. Queue analytics report the live service rate and a predicted wait time for someone joining the queue now, computed from how fast the queue is actually clearing, alongside the current queue length. The prediction reflects real conditions at that counter and updates continuously as the line speeds up or slows down.

No. Visylix runs fully on-premise. All AI inference, model adaptation, cross-camera journeys, and analytics happen on your own hardware, and it operates in fully air-gapped deployments after installation. No frames, detections, faces, plates, or learned baselines are sent to any external service. Aptibit operates no cloud service, so there is nothing for Visylix to call home to.

Yes. Enterprise deployments include HA with primary-standby replication and operator-initiated standby cutover, keeping video ingestion, AI inference, and Radha AI Copilot online during hardware or network failures. Operator-initiated cutover switches traffic to the standby with a documented runbook: RTO under 60 seconds and RPO under 5 seconds, with configurable health checks and DNS-based or L4 load balancer cutover. Fully automatic failover without operator action is on the roadmap, not shipping today.

Yes, Visylix provides full ONVIF PTZ control including an on-screen joystick for intuitive drag-based control, preset positions that can be saved and recalled, automated patrol tours, and one-click home position recall.

Yes. Full right-to-left support for Arabic, Hebrew, Persian (Farsi), and Urdu, including navigation, forms, data tables, charts, and video playback controls.

Yes, Visylix includes automatic TURN relay with TCP-only transport specifically designed for 4K cameras behind restrictive firewalls. Connections seamlessly fall back to TURN when direct peer-to-peer is unavailable.

Yes. Visylix performs real-time fisheye dewarping for 360° and 180° panoramic cameras across four output modes: rectilinear (corrected flat view), panorama (single horizontal strip), quad (four-region split), and dual-panorama. Dewarping runs server-side with GPU acceleration so thin clients like web browsers and mobile receive corrected video without local CPU cost.

Yes. Visylix includes dynamic privacy masks enforced at the server level before video reaches any viewer. It provides on-premise data sovereignty, air-gap compatibility, configurable retention policies, RBAC with 30+ permissions across 4 roles, 2FA, evidence locks with SHA-256 integrity verification and chain of custody, and a comprehensive audit trail logging every action with timestamp, IP, and user agent.

Yes, Visylix supports browser-to-camera talkback via WebRTC microphone capture and RTSP backchannel delivery (RFC 8760) for ONVIF-compliant cameras. The push-to-talk interface includes echo cancellation and real-time audio transcoding.

Yes. Enterprise tiers include a video wall layout engine supporting up to 6×6 grids per monitor, per-cell camera bindings, automatic rotation, event-driven focus-switching, and multi-monitor orchestration for NOC and command-center environments. Layouts are shareable, profile-scoped, and push-synchronized across operator workstations.

Not usually. Capabilities that land inside an existing plan tier stay in that tier. Where something is genuinely a new product area rather than an enhancement, we will say so before you rely on it. There is no per-camera fee on any plan, so features do not become more expensive as your estate grows.

Yes, and this is the part worth checking with any vendor. All 22 AI analytics and the Radha copilot execute locally on your hardware. Many platforms describe themselves as on-premise while still calling out to a hosted service for inference or the assistant. Visylix does not, which is what makes genuine air-gapped operation possible.

No. Pricing is per plan, not per camera, per node or per deployment mode, so cloud, on-premise, edge, hybrid and air-gapped all carry the same licence terms. Plans start at $49 per month, with Indian pricing from Rs 4,599 per month, and Enterprise is quoted per deployment.

Visylix welcomes community feedback and feature requests. Users can submit requests through the Aptibit support channels, join the beta program, or contact the team directly to influence the product roadmap.

Roadmap items are marked by status. Anything marked planned or in progress is not available yet and should not be part of a purchasing decision. If a capability matters to your evaluation, ask us to demonstrate it on a live system rather than accept a roadmap entry as evidence.

Radha includes dedicated prompt injection detection patterns that analyze every user input before processing. It identifies and blocks jailbreak attempts, instruction overrides, and role impersonation, ensuring that Radha only executes legitimate operator commands within defined permission boundaries.

Visylix offers enterprise-grade AI video analytics integrated directly into the streaming pipeline, with 22 AI analytics including face recognition, ANPR, crowd detection, and more. Ant Media Server is a general-purpose WebRTC server without built-in AI analytics. Visylix handles thousands of concurrent streams per node with GPU inference and supports cloud/on-premise/edge/hybrid deployment.

Visylix provides real-time AI analytics during live streaming, while BriefCam focuses on post-event video synopsis. Visylix is a complete VMS + AI analytics platform with 22 AI analytics, thousands of concurrent streams per node, and integrated video management, eliminating the need for a separate VMS alongside BriefCam.

Visylix supports full on-premise and hybrid deployment that Eagle Eye Networks and Rhombus's cloud-focused models cannot. Visylix works with any ONVIF camera (not proprietary hardware), includes 22 in-house AI analytics, and has no per-camera cloud fees. It handles thousands of concurrent streams per node with enterprise-grade scalability.

While Flussonic and Nimble Streamer are general-purpose streaming servers, Visylix integrates 22 AI analytics directly into the streaming pipeline for real-time intelligent video processing. Visylix is a complete enterprise VMS platform with AI analytics, recording, event management, and sub-second live view over WebRTC, not just a streaming server.

Visylix integrates 22 AI analytics directly into the VMS without requiring Genetec's separate Analytics modules. Visylix offers edge AI deployment on supported edge compute devices, no per-camera pricing, and thousands of concurrent streams per node, making it a cost-effective alternative to Genetec Security Center.

Visylix offers 22 native AI analytics (face recognition, ANPR, crowd detection, person tracking, pose estimation, PPE detection, and more) that Milestone XProtect requires third-party plugins for. Visylix handles thousands of concurrent streams per node with an optimized architecture, sub-second live view over WebRTC, and flexible cloud/on-premise/edge/hybrid deployment. Visylix has transparent per-stream pricing without per-server licensing.

Visylix includes 22 in-house AI analytics that Nx Witness (Network Optix) requires third-party plugins for. Visylix's optimized architecture scales with thousands of concurrent streams per node, hardware-accelerated AI inference, sub-second live view over WebRTC, and enterprise-grade support.

Visylix handles thousands of concurrent streams per node without per-camera pricing. Visylix offers 22 production-ready AI analytics with hardware-accelerated inference, full on-premise/edge/hybrid deployment options, and a complete VMS platform including streaming, recording, and integration APIs.

Unlike Verkada's cloud-only, proprietary-hardware model, Visylix supports cloud, on-premise, edge, and hybrid deployment with any ONVIF camera. Visylix offers 22 AI analytics, thousands of concurrent streams per node, no mandatory cloud subscription fees, and full data sovereignty, making it ideal for organizations with compliance requirements that Verkada cannot meet.

While Wowza is a general-purpose streaming server, Visylix combines sub-second live view over WebRTC with 22 in-house AI analytics for surveillance. Visylix supports RTSP, RTMP, HLS, WebRTC, SRT, and ONVIF with real-time AI processing, making it an all-in-one streaming + analytics + VMS platform that replaces Wowza plus separate analytics tools.

Two ways. On its own, Visylix counts how many people cross a door, turnstile, or mantrap and alerts on group crossings using directional, entry-side logic, with no extra hardware. When integrated with an access-control system (HID, LenelS2, AMAG, Brivo, Genea, and Bosch are supported), it correlates how many people crossed the door with how many badges were presented and alerts only when more people entered than credentials, the true piggyback signal. The access-control correlation is opt-in.

Visylix uses ONVIF auto-discovery to scan your local network for all compatible cameras. It also probes 35+ known RTSP URL patterns across 19 major camera brands and 4 ports (554, 8554, 7447, 9100) to automatically detect and connect to cameras without manual configuration.

Visylix evidence management provides court-admissible exports with SHA-256 integrity hashing, cryptographic chain of custody, and tamper-evident locks. Every evidence action (view, export, share) is written to an immutable audit trail with timestamp, user, IP, and action metadata. Advanced case sharing supports multi-recipient watermarking, time-boxed 24-hour links (basic tier) or role-scoped permanent links (Pro+), and GDPR-compliant right-to-delete workflows.

Visylix provides comprehensive evidence management with timestamped bookmarks (headline, description, color-coded priority, tags), tamper-proof evidence locks that prevent deletion or modification, SHA-256 integrity verification for locked evidence, and a full chain of custody audit trail that logs who locked evidence, when, and why. Only administrators can release evidence locks, ensuring legal admissibility.

Visylix provides petabyte-scale storage with tiered retention policies, instant playback, forensic video search, and multiple export formats. It supports MP4 and fMP4 fragmented storage with automated backup and disaster recovery. Full HEVC playback is supported with a WASM fallback decoder for browsers without native H.265.

Visylix delivers alerts across four channels simultaneously: SMS (Twilio integration), email with inline thumbnails, HMAC-signed webhooks for custom endpoints, and MQTT for IoT/SCADA systems, alongside in-app notifications. Per-user subscription preferences, quiet-hours scheduling, severity routing, and acknowledgment tracking ensure alerts reach the right people without noise.

Visylix privacy redaction applies server-side before video reaches any viewer. It supports face redaction, license-plate redaction, and full privacy redaction (all content types including bodies and license plates) on Enterprise. Redaction is applied to live viewing, exports, and case sharing, with configurable exemption rules for authorized RBAC roles (e.g., law enforcement can view un-redacted footage with audit logging).

The Visylix streaming engine uses a multi-layered protection system: adaptive backpressure drops non-reference frames for slow subscribers while preserving keyframes, a circuit breaker monitors CPU load and gracefully degrades at 70%, 85%, and 95% thresholds, and all per-stream buffers are memory-bounded to prevent out-of-memory conditions. Combined with GOP cache for instant playback and automatic codec negotiation, the engine maintains stability even under unexpected load spikes.

Visylix can be deployed with a single curl command. The installer auto-detects hardware and tunes database pools, worker threads, buffers, and connection limits. Ongoing administration is handled entirely from the browser dashboard: in-dashboard updates with automatic rollback, service health monitoring, log viewing and filtering, one-click diagnostic bundle download with sensitive data redacted, automatic GPU detection for AI inference, and configurable low-disk storage alerts.

13 Indian languages: Hindi (Devanagari), Bengali, Tamil, Telugu, Kannada, Malayalam, Assamese, Marathi, Gujarati, Punjabi (Gurmukhi), Rajasthani, Haryanvi, and Odia.

Visylix supports thousands of concurrent streams per node, and multi-cluster federation is designed toward very large, city-scale estates. Exact capacity depends on your resolution, codec, frame rate and how many analytics you run per stream, so we validate it on your own hardware during the proof of concept. ONVIF auto-discovery and RTSP auto-detection across 35+ URL patterns automatically find and configure cameras from 15+ brands including OEMs including Hikvision, Dahua, Uniview, Axis, Bosch, Hanwha, and more.

The Visylix VMS Core Engine supports thousands of concurrent video streams per node using an optimized architecture, with multi-protocol ingestion including RTSP, RTMP, WebRTC, SRT, and HLS. Multi-cluster federation is designed toward very large, city-scale estates, and exact per-node capacity is validated on customer hardware during the proof of concept.

55+ languages with full UI support covering every tier-1 VMS market, 13 Indian languages, and RTL scripts. The initial 12 translated languages are English, Hindi, Spanish, Arabic, Bengali, Tamil, Telugu, Kannada, Malayalam, Assamese, Thai, and Vietnamese; the remaining 40+ locales cover European, East Asian, Southeast Asian, Middle Eastern, and African markets.

Visylix natively supports 13 streaming protocols for both ingest and output, more than any competing VMS. This includes RTSP, RTMP/RTMPS, SRT, ONVIF, NDI, MPEG-TS, RIST, GB/T 28181, WebRTC, HLS, DASH, HTTP-FLV, and HTTP-TS.

Radha has 100+ operational tools that connect to every part of the Visylix platform. These include camera management, recording and NVR playback search, AI model answers, the alarm console, camera fault diagnosis, bulk actions across the fleet, server capacity and sizing, PTZ presets and patrol tours, system health monitoring, user management, report generation, and more. Each tool executes real actions on the system, not just information retrieval, and none of them can delete anything.

No. Radha runs 100% on premise with no data sent externally. The on-premise language model Radha is built on is deployed on your own GPU hardware. All conversations, commands, and surveillance data remain within your network. This makes Radha suitable for air gapped environments, government facilities, defense installations, and organizations with strict data sovereignty requirements.

Yes. Visylix is an enterprise-grade platform that scales far beyond Blue Iris's single-server limitations. Visylix handles thousands of concurrent streams per node, offers 22 professional AI analytics (face recognition, ANPR, crowd detection, intrusion detection), multi-site management, hardware-accelerated inference, enterprise support, and cloud/on-premise/edge/hybrid deployment.

Yes, full UI translation including navigation, forms, menus, dashboards, alerts, and data tables.

No. Native iOS and Android apps are in development and are not available today. The Visylix web interface runs in mobile browsers in the meantime, with live view over WebRTC. We list the app on the roadmap rather than in the feature set for exactly this reason.

Visylix includes 22 in-house AI analytics: (1) Face Recognition with large-scale face database and fast matching, (2) License Plate Recognition (ANPR/ALPR) reading global formats with an India-optimized pipeline, (3) Object Detection with 80+ categories, (4) Person Tracking with per-camera tracking plus v1 cross-camera appearance journeys, (5) Crowd Detection, (6) Safety Gear/PPE Detection, (7) Heat Map Analytics, (8) Motion Detection with adaptive baselines, (9) Pose Estimation with fall detection, (10) Unique Person Counting, (11) Intrusion Detection, (12) Line Crossing Detection, (13) Camera Tampering Detection, (14) Abandoned Object Detection, (15) Tailgating Detection, (16) Queue and Wait-Time Analytics, (17) Parking Occupancy, (18) Speed Estimation, (19) Fire and Smoke Detection, (20) Weapon Detection, (21) Audio Event Detection, and (22) Anomaly Detection. The parts that adapt are specific and bounded: per-camera scene baselines for motion, audio, crowd and tamper calibrate to your environment, anomaly detection trains a baseline per camera, and operators receive threshold retune suggestions they approve before anything changes. Detection accuracy depends on camera angle, lighting and scene, so we validate each analytic on your own footage during the proof of concept.

Scale and Enterprise tiers include SSO via SAML 2.0 and OIDC, compatible with Okta, Azure AD / Entra ID, Google Workspace, Auth0, OneLogin, PingIdentity, and any standards-compliant IdP. Multi-site federation allows a single operator login to traverse unlimited Visylix deployments across geographies with centralized RBAC and aggregated dashboards.

Enterprise tiers include automatic archive tiering to S3-compatible storage (AWS S3, Cloudflare R2, Wasabi, Backblaze B2). Recordings age from hot local storage to warm and cold archive tiers based on configurable policies (age, camera, event type). Archived footage remains instantly searchable via metadata and can be pulled back on-demand for investigation.

Visylix supports unlimited polygonal detection zones, directional virtual tripwires for line-crossing counting, and per-zone AI rules (which models run, which thresholds apply, which schedule activates). Zones are drawn directly on the camera preview with per-zone sensitivity, per-zone alerts, and per-zone recording triggers. Tripwires count entries and exits separately with direction awareness.

Visylix automatically reconnects to cameras using exponential backoff (1s, 2s, 4s, 8s, up to a maximum of 30s between attempts). Stream health is continuously monitored with real-time bitrate, FPS, codec, and connection status indicators.

It depends on camera count, resolution, codec and how many AI models you enable per camera, so we size it against your actual estate during the proof of concept rather than publishing a specification that would be wrong for most deployments. The auto-tuning installer profiles the hardware you provide and configures database pools, worker counts and buffer sizes to match.

Radha is a conversational AI assistant built specifically for video management, and the only VMS copilot we know of that is conversational, action-taking and fully on-premise at once. It runs 100% on-premise with 100+ integrated tools across every capability area: camera management, recording and NVR playback, snapshot operations, AI analytics, alarms and sensors, camera fault diagnosis, bulk fleet actions, capacity and sizing, system monitoring, automation, and navigation. It supports multi-turn conversations, role-based access, prompt injection protection, per-user rate limiting, and timezone-aware time references.

Visylix achieves sub-second glass-to-glass live view via WebRTC, up to sub-200ms in ideal conditions, with adaptive bitrate streaming and hardware-accelerated transcoding for real-time surveillance and monitoring use cases.

Visylix offers flexible grid layouts (1x1, 2x2, 3x3, 4x4, and custom), per-camera transport fallback (WebRTC to MPEG-TS to HLS), stall detection with auto-recovery, instant snapshot capture with metadata, variable-speed playback (0.5x to 4x), and real-time stream overlays.

Radha is purpose built for video management, not a generic AI bolted onto a VMS. She commands 100+ specialized tools that execute real system operations, searches video from plain descriptions, runs agentic multi-step investigations with evidence timelines, describes live scenes with an on-premise vision model, takes local voice input, remembers each site's vocabulary, and generates briefings and printable incident reports — all 100% on premise with confirmation gates, query moderation, and full audit logging. We are not aware of another VMS copilot that is conversational, action-taking and fully on-premise at once.

The Visylix roadmap includes upcoming AI models, platform enhancements, expanded integrations, and long-term innovations in AI-powered video management. Users can join the beta program for early access to new features.

The Visylix dashboard provides complete operational visibility including camera status overview (online, offline, connecting), per-stream viewer counts, recording status with storage usage, AI detection counts by model type, system metrics (CPU, memory, disk, network), storage analytics with retention projections, time-series charts for trend analysis, and per-camera deep-dive analytics with month-over-month comparisons.

Visylix supports three recording modes: continuous 24/7 recording, event-driven recording triggered by motion or schedule, and AI-triggered recording that starts based on analytics events like intrusion detection or face recognition. All modes use zero-CPU recording that writes the camera bitstream directly to MP4 without transcoding, with native H.265/HEVC support and faststart MP4 for instant browser playback.

Visylix supports 13+ streaming protocols natively in a first-party engine, rather than wrapping FFmpeg or an open-source streaming server. Ingest protocols: RTSP (with Digest Auth), RTMP/RTMPS, SRT, ONVIF (Profile S/T/G), NDI, MPEG-TS, RIST, and GB/T 28181. Output protocols: WebRTC (WHEP/WHIP) with sub-second live view, HLS and LL-HLS with adaptive bitrate, RTSP, HTTP-FLV, HTTP-TS, and DASH. Includes automatic TURN relay, TCP-only TURN for 4K cameras, and per-connection adaptive quality.

Visylix supports RTSP, RTMP, WebRTC, SRT, HLS, and LL-HLS protocols with both push and pull ingestion modes, enabling seamless integration with virtually any IP camera or video source.

Visylix implements 6 native NVR protocols, which between them cover forensic access to recordings on 15+ brands including OEM lines: Hikvision, Dahua, Uniview, Axis, Bosch, Hanwha (Samsung), Vivotek, Reolink, TP-Link VIGI, Tiandy, Milesight, Pelco, Avigilon, March Networks, GeoVision, Honeywell, i-PRO (Panasonic), FLIR/Teledyne, and any ONVIF Profile G compatible device. Features include time-range search, multi-channel forensic grid playback, hybrid playback with direct download and RTSP fallback, variable-speed playback up to 8x, and MP4 download with SHA-256 integrity verification.

Visylix supports all ONVIF-compatible cameras plus specific optimized support for Hikvision, Dahua, Uniview, Axis, Bosch, Hanwha (Samsung), Vivotek, Reolink, TP-Link VIGI, Tiandy, Milesight, Pelco, Avigilon, March Networks, GeoVision, Honeywell, i-PRO (Panasonic), FLIR/Teledyne, and more.

Visylix supports 13 native protocols including RTSP (Digest Auth), RTMP/RTMPS, SRT, ONVIF (Profile S/T/G), NDI, MPEG-TS, RIST, and GB/T 28181 for ingest, and WebRTC (WHEP/WHIP), HLS/LL-HLS, RTSP, HTTP-FLV, HTTP-TS, and DASH for output, more than any competing VMS.

In most cases. Visylix discovers ONVIF cameras automatically and connects to RTSP directly, so it is camera-agnostic rather than tied to specific hardware. Analogue cameras need an encoder to reach the network. NVR forensic access covers 15+ brands including OEM rebrands, so historical footage on existing recorders stays reachable during a migration.

Yes. Visylix provides high-accuracy Automatic Number Plate Recognition (ANPR) for automated toll collection, speed violation detection, wrong-way driver alerts, and vehicle classification across highways and urban roads.

Not on its own. Visylix does not ship a time-and-attendance module, and we do not market one: face-based attendance is a separate product with its own consent, payroll and labour-law obligations. What Visylix does provide is face recognition and person detection that produce timestamped entry and exit events plus live classroom occupancy, which your existing student information or attendance system can consume through the REST API.

Yes. Visylix AI models and dashboards can be configured for industry-specific use cases including traffic management, patient safety, retail footfall analytics, campus security, and more.

Camera tamper and anomaly detection flag visual changes to the ATM fascia, card slot and keypad against a per-camera baseline the system learns for that specific machine. It reports a visual anomaly for a technician to inspect; it does not identify a device by make or confirm it is a skimmer. Treat it as an early inspection trigger, not a forensic determination.

Yes. Tailgating detection counts how many people pass during a single access event using any camera covering the entry point, and works standalone from video alone. With a supported access-control system it compares people through the door against badges presented, alerting only when people exceed credentials, which is the true tailgating signal.

Yes. Visylix provides tamper-proof video recording, audit-ready footage retention, and automated compliance reporting that align with RBI surveillance mandates and financial regulatory requirements for branch and ATM monitoring.

Yes. Visylix connects to any ONVIF-compliant or RTSP camera, allowing municipalities to upgrade legacy CCTV systems with AI analytics for crowd monitoring, incident detection, and public safety without replacing existing hardware.

No. It detects and notifies through webhooks, MQTT and 200+ REST endpoints. The decision to stop equipment stays with your control systems. Visylix does not actuate machinery or safety interlocks.

No. Visylix detects and notifies; it does not actuate machinery or safety interlocks. Sudarshan rules can combine conditions and fire notifications to people and systems, and integrate via webhooks or MQTT, but the decision to stop equipment stays with your control systems.

By licence plate, yes, and exactly: the same plate read at multiple cameras is stitched into one timeline with travel times. Person journeys are appearance-based, useful for following a route but not identity-grade and never proof of identity.

Yes, through multi-cluster federation. Each campus records locally with its own retention policy while a district team searches and views across sites, with role-based access deciding who sees which campus.

By plate, exactly, with travel times between reads. Person journeys work on appearance rather than identity and should not be presented as identity-grade recognition.

Yes. Visylix ships as a Docker image running on infrastructure the bank controls, including fully air-gapped. All 22 AI analytics and the Radha copilot execute locally, so footage and copilot queries never leave the network.

Yes. Role-based access control with 30+ permissions lets a hall warden, a security officer and an IT administrator each see a different subset of cameras and functions. Every view and export is audit-logged against the person who performed it.

Yes. Detection zones are configured per camera and per model, so a press area can require PPE while an adjacent walkway does not, using the same physical camera.

Yes. Visylix integrates with biometric access control, badge readers, and SOC platforms to provide a unified security dashboard with face recognition, anomaly detection, and centralized multi-location monitoring.

Yes, through multi-cluster federation. Each store records locally while a central team searches and views across sites, with role-based access deciding who sees which store and retention set per site.

Yes, through multi-cluster federation. Each store records locally while a central team searches across sites, with role-based access deciding who sees which store and retention set per site.

It can alert on density thresholds and on rate of change in a defined zone, which is the useful early signal. Sudarshan rules combine conditions with AND/OR logic and ordered sequences, so a rule can require density above a threshold sustained over time rather than a single frame. Actions notify people; they do not actuate barriers or gates.

It detects the underlying events rather than making a clinical determination. Pose estimation, anomaly detection, intrusion and loitering run on live streams and Sudarshan rules can require a sequence before alerting. Any use in a clinical safety pathway should be validated on your own footage during the proof of concept.

Yes, by plate. Plate journeys are exact and assemble the same plate read at different cameras into one timeline with travel times between points, which also yields average speed over a section.

Plate journeys are exact and can link vehicle activity across sites. Person journeys work on appearance rather than identity, so they help follow a route within a session but must not be treated as identity-grade recognition or used as proof of who someone is.

It can detect and alert on a person entering a defined vehicle zone, which is the useful warning. It does not control vehicles or actuate safety systems. Any use as part of a safety case should be validated on your own site during the proof of concept.

Yes. ANPR runs as a built-in model, and plate journeys are exact, so the same plate read at entry and exit is stitched into one timeline with dwell time between reads. Note that Visylix publishes no ANPR accuracy figure, because none has been measured against a held-out set.

Yes. Air-gapped deployment is supported and includes the AI. All analytics run locally on your hardware, so a stadium or transit hub with an isolated network gets the same capability.

Yes. Air-gapped deployment is supported and includes the AI. All 22 analytics and the Radha copilot run on-premise, so no video, metadata or query text goes to an external service. This is the mode used where data residency or classified-environment rules apply.

Yes. Retention is configurable per camera and per site, so wards with different regulatory requirements can hold footage for different periods on one system. Evidence lock preserves specific recordings while an investigation is open.

Yes. Retention is configurable per camera and per site, so areas with different regulatory requirements can hold footage for different periods on one system. Evidence lock holds specific recordings beyond the window while an incident is investigated.

Yes. Sudarshan rules support scheduling alongside AND/OR conditions and ordered temporal sequences, so a loading bay can be unrestricted during shifts and alarmed overnight. Rules can be dry-run against historical footage before going live.

Rules can combine AND/OR conditions and ordered temporal sequences and be dry-run against historical footage before going live. Actions notify people and systems; they do not actuate barriers, signals or other physical equipment.

Yes. Sudarshan rules can require both a video condition and an access-control event before firing, so a door opening without a matching badge raises an alert while an authorised entry does not. Supported systems include HID, Lenel S2, AMAG, Brivo, Genea and Bosch.

Yes. Detection zones are configured per camera and per model, so a press area can require PPE while an adjacent walkway does not, using one physical camera.

It is available but should be a deliberate policy decision. Many authorities restrict biometric processing of minors and consent rules differ. Most campus deployments use intrusion, loitering, line crossing, tailgating and crowd density instead, which answer the safety questions without processing biometrics.

No. Every paid plan includes unlimited streams, so a chain adding stores or cameras does not pay more in licence fees. Per-camera licensing is the norm in retail VMS and the usual reason multi-site rollouts stall on cost.

No. It detects events such as falls-adjacent motion, intrusion, loitering and crowd density, and rules can require a sequence before alerting. Clinical interpretation stays with staff, and any use in a care pathway should be validated on your own footage during the proof of concept.

It is available but should be a policy decision rather than a default. Many education authorities restrict biometric processing of minors and consent rules vary by jurisdiction. Most campus deployments use intrusion, loitering, line crossing and tailgating instead, which answer the access questions without processing biometrics.

No. Multi-cluster federation lets deployments across districts be monitored from a central operations centre while each site keeps recordings and retention locally, which matters where districts have separate data-custody rules.

Not on an on-premise deployment. Visylix runs as a Docker image on infrastructure the city controls, including air-gapped, with all analytics and the copilot executing locally.

No, and it should not. Density, counting and flow work from anonymous detections without biometric processing. Keeping identification out of crowd analytics is usually both the privacy-safer and the operationally simpler choice.

Yes. Removed-object detection ships alongside abandoned-object detection, so an item taken from a marked area raises an alert. The per-camera anomaly model complements this by learning each view's normal pattern, covering the unusual cases nobody wrote a rule for.

Through 200+ REST API endpoints, HMAC-signed webhooks and MQTT for IoT and SCADA. Video events can be correlated with access-control events, so a rule can require both before firing.

Yes, through 200+ REST API endpoints, HMAC-signed webhooks and MQTT for SCADA and IoT. Alerts notify your systems; Visylix does not directly actuate gates, sirens or locks.

No. Visylix notifies your barrier or payment system through 200+ REST API endpoints, webhooks or MQTT, and that system decides whether to open. Physical actions are always taken by your equipment, not by Visylix.

Yes. It ships as a Docker image and runs with no internet connection, with all analytics and the copilot executing locally, so process footage never crosses the plant boundary.

Yes. Analytics run at the edge on local hardware, so detection does not depend on a live link back to the operations centre. Only alerts and metadata need to travel, and SRT or RIST carry them over lossy cellular links.

Usually. ONVIF discovery and RTSP cover most IP cameras, and GB28181 covers equipment built to the Chinese national standard common in some municipal deployments. ANPR quality still depends on camera placement, angle and shutter speed.

Radha runs entirely on-premise on hospital hardware, so nothing it processes is transmitted externally. It has 100+ tools available against the camera fleet, 12 of which change state and require explicit confirmation, none of which can delete anything, and every query and action is audit-logged against the operator.

That is the one accuracy figure Visylix publishes, because it is measured against a held-out set rather than in-domain data. Real accuracy on your site depends on camera angles, lighting and PPE types, so it is validated during the proof of concept.

Visylix publishes no PPE detection accuracy figure. Accuracy depends on camera angle, lighting, distance and scene, so it is validated on your own footage during the proof of concept. Site accuracy depends on camera angles, lighting and PPE types, so it is validated during the proof of concept.

It depends on calibration quality, camera geometry and distance, so it is validated on your own installation during the proof of concept. Visylix publishes no speed accuracy figure because none has been measured against a reference.

Counting accuracy depends on camera angle, mounting height, lens and occlusion, so it is validated against your own cameras during the proof of concept rather than quoted as a fixed figure.

Visylix AI provides real-time intrusion detection, visitor management, anti-ragging surveillance, and emergency response automation across school and university campuses, ensuring student safety with 24/7 intelligent monitoring.

Visylix AI automates perimeter intrusion detection, tailgating prevention, visitor management, and real-time threat alerts across multi-site corporate campuses, reducing manual monitoring costs and improving incident response times.

Visylix tracks customer journeys through heat maps, dwell-time analysis, and footfall counting to identify high-traffic zones and dead spots. This enables data-driven store layout optimization, staff allocation, and promotional placement that directly improve conversion rates.

Visylix AI enables real-time passenger flow monitoring, unattended baggage detection, crowd density analysis, and perimeter breach alerts at airports and railway stations, enhancing security while reducing manual surveillance costs.

Visylix AI monitors patient areas for fall detection, unauthorized access to restricted zones, and PPE compliance by medical staff, providing real-time alerts to nursing stations and reducing adverse events in healthcare facilities.

AI video analytics automates real-time traffic monitoring, ANPR-based violation detection, adaptive signal control, and congestion prediction, reducing response times and improving urban mobility without additional road infrastructure.

Visylix AI monitors PPE compliance (helmets, gloves, vests), detects unauthorized entry into restricted or hazardous zones, identifies unsafe forklift operations, and sends instant alerts to help factories reduce workplace accidents and meet OSHA compliance standards.

Visylix AI detects suspicious behaviors at ATMs such as card skimming, shoulder surfing, and loitering, while monitoring bank branches for unauthorized vault access, after-hours intrusion, and cash handling anomalies. It sends real-time alerts to security teams.

By plan, not by camera. Every paid plan includes unlimited streams, so adding cameras or sites does not change the licence cost. Most enterprise VMS platforms charge per camera or per channel, which is why the cost curves diverge as an estate grows.

Parking occupancy is one of the 22 in-house AI analytics and works from overhead or angled cameras covering bays, with zones configured per camera. It reports space state rather than requiring a sensor in every bay, which is what makes retrofitting an existing car park practical.

The per-camera anomaly model learns what normal traffic looks like at each ATM and refreshes weekly, so a busy lobby machine and a quiet off-site kiosk get different baselines. Alerts also carry a dispatch score, and an effectiveness board lets you retune noisy rules in one click.

Edge deployment runs recording and analytics locally, with only alerts and metadata travelling back to the central system. SRT and RIST add packet-loss recovery over links that drop.

Through multi-cluster federation. Each campus keeps recording locally with its own retention policy while a central team searches and views across all sites. Video stays at the source rather than being centralised into one archive.

Two mechanisms genuinely adapt: a per-camera anomaly model that learns each view's normal pattern and refreshes weekly, and tamper detection that builds its own baseline. Alerts carry a dispatch score and noisy rules can be retuned in one click. Visylix does not publish a false-positive reduction percentage, because that depends on your scenes.

Per plan, not per camera or per branch. Adding cameras or branches does not increase the licence cost, which is the structural difference from VMS vendors that charge per channel. Plans start at $49 per month, with Indian pricing from Rs 4,599 per month.

Per plan, not per camera or per site. Additional car parks can be federated into one operations view while each keeps recordings locally, with no change in licence cost as camera count grows.

Processing happens on hospital infrastructure, so footage never leaves the building for analysis, including AI inference and copilot queries. Privacy redaction masks faces or regions before export, and access control with 30+ permissions limits who can view which cameras.

Processing happens on hospital infrastructure, so footage never leaves the building for analysis, including AI inference and copilot queries. Privacy redaction can mask faces or regions before any export, and access control limits who can view which cameras, with every view logged.

It works purely from video on cameras you already have, so there is no additional hardware to install along the fence line. It also distinguishes humans, vehicles and animals, which is what removes the majority of the false alarms that make traditional perimeter sensors get ignored.

Retention is configurable per camera and per site. Evidence lock holds specific recordings beyond the retention window while an incident or claim is open, so routine deletion does not destroy material still needed.

Fewer than a fixed-rule system, because the per-camera anomaly model learns what normal looks like for each view and refreshes weekly, and tamper detection builds its own baseline. Visylix does not publish a false-positive reduction percentage, because that depends entirely on your scenes and there is no measurement to support a number.

No. Visylix holds no formal certification, and we will not claim otherwise. It provides the technical controls those frameworks ask for: on-premise or air-gapped deployment, encryption in transit, role-based access control with 30+ permissions, configurable retention, evidence lock and full audit logging. Certification is on the roadmap.

No. Visylix holds no formal certification. It provides the technical controls those frameworks ask for: on-premise or air-gapped deployment, encryption in transit, role-based access control, configurable retention, evidence lock and full audit logging. Certification is on the roadmap.

No. Visylix holds no formal security certification today. It provides the controls those frameworks look for, including on-premise deployment, encryption in transit, role-based access control with 30+ permissions, configurable retention, evidence lock and full audit logging. Certification is on the roadmap.

No. Visylix holds no SOC 2, ISO 27001 or PCI DSS certification today, and we will not claim otherwise. It provides the controls those frameworks look for: on-premise or air-gapped deployment, encryption in transit, role-based access control with 30+ permissions, configurable retention, evidence lock and full audit logging. Certification is on the roadmap.

Yes. Visylix supports privacy-preserving analytics with configurable anonymization, on-premise deployment options, and role-based access controls designed to align with HIPAA and NABH compliance requirements.

Not when deployed on-premise. Visylix runs as a Docker image on infrastructure the bank controls, including fully air-gapped. All 22 AI analytics and the Radha copilot execute locally, so footage and queries never leave the bank network.

Radha runs entirely on-premise and has 100+ tools it can execute against the camera fleet. Twelve change state and require explicit confirmation, none can delete anything, and every action is audit-logged against the operator who triggered it.

That is a legal question for your jurisdiction, not a product claim. Visylix provides the supporting controls: SHA-256 hashing, evidence lock that prevents retention rules deleting a recording, and a full audit trail of who accessed or exported it. Whether that satisfies your evidentiary standard is for your legal team.

Low light is a camera characteristic more than a software one, so results depend on the sensor and illumination at each level. Capacity and detection quality are validated on your own cameras during the proof of concept rather than assumed.

Intrusion and line crossing for restricted zones, PPE compliance, forklift and pedestrian interaction through object detection and zones, loitering, abandoned and removed object detection, and queue analytics at loading bays. All run on the streams already being recorded.

Crowd density, unique person counting, queue and wait-time analytics, line crossing and directional flow, plus heat maps showing where people accumulate over time. All run on the same streams already being recorded, with detection zones set per camera and per model.

Licensing is per plan, not per camera or per site, so 40 ATMs and 4,000 ATMs carry the same licence terms. Plans start at $49 per month, with Indian pricing from Rs 4,599 per month, and Enterprise is quoted per deployment.

Per plan, not per camera, so a terminal with 400 cameras costs the same in licence terms as one with 40. Visylix is delivered as a Docker image on your own infrastructure, so there is no hardware purchase from us.

Per plan, not per camera, so a site with 600 cameras carries the same licence cost as one with 60. Plans start at $49 per month and Enterprise is quoted per deployment. Visylix is delivered as a Docker image on your own infrastructure, so there is no hardware purchase from us.

There is no per-camera fee, so cost does not scale with camera count. Plans start at $49 per month, with Indian pricing from Rs 4,599 per month, and Enterprise is quoted per deployment.

Edge deployment runs recording and analytics locally, with only alerts and metadata travelling back. SRT and RIST add packet-loss recovery over cellular or long-haul links, so detection does not stop when the link degrades.

They usually stay. ONVIF discovery and direct RTSP cover most IP cameras from the last decade, and NVR forensic access spans 15+ brands including OEM rebrands, so historical footage stays reachable while new recording moves across.

Visylix provides AI video analytics solutions for smart cities, enterprise security, retail analytics, transportation, healthcare, manufacturing, education, and banking & finance.

Rules vary by jurisdiction, but the consistent principle is that common areas such as corridors, entrances, grounds and car parks are acceptable while bathrooms and changing rooms are not. Many authorities also require signage and a documented retention period. Check your local education authority rules; this is general guidance, not legal advice.

HID, Lenel S2, AMAG, Brivo, Genea and Bosch for badge-to-body correlation, plus 200+ REST API endpoints and HMAC-signed webhooks for anything else. Correlation is opt-in; the video-only mode needs no integration.

Intrusion and line crossing for restricted areas, loitering for dwell in high-value aisles, abandoned and removed object detection for stock movement, tailgating at staff doors, and queue analytics for till pressure. All 22 models are included on any AI plan with no per-stream fee.

Visylix supports 13 natively. RTSP and ONVIF cover fixed cameras, SRT and RIST carry video reliably over cellular or long-haul links, GB28181 covers equipment built to the Chinese national standard, and WebRTC gives control-room operators sub-second live view.

Speed estimation, line crossing for lane and signal violations, direction of travel for wrong-way detection, and ANPR for plate capture. Speed requires a calibration of at least four points per camera; without calibration the model produces no output rather than an unreliable one.

In most cases. ONVIF discovery and direct RTSP make it camera-agnostic, and NVR forensic access across 15+ brands keeps historical footage reachable during a migration.

In most cases yes. Visylix auto-discovers ONVIF cameras and connects to RTSP directly, so it is camera-agnostic. NVR forensic access covers 15+ brands including OEM rebrands, so historical footage stays reachable during a migration.

Not on an on-premise or air-gapped deployment. Visylix ships as a Docker image running on your infrastructure, and all 22 analytics plus the copilot execute locally, so process footage never crosses the plant boundary.

Yes. Visylix supports fully on premise deployment with no internet connectivity required after initial setup. All 22 AI analytics, the Radha AI Copilot, and the complete VMS engine run entirely on your hardware. This makes Visylix ideal for government, defense, and classified network environments.

We operate under the Digital Personal Data Protection Act as an Indian company, with a published grievance officer and the complaint route to the Data Protection Board of India on our privacy policy. For systems we build, DPDP obligations sit with you as the data fiduciary; we architect for data residency and provide the access, retention and audit controls that make compliance achievable.

No. Aptibit does not share, sell, or monetize customer data in any way. Your video data, AI inference results, and metadata remain entirely under your organization's control. On premise deployments ensure data never leaves your physical infrastructure.

Visylix is architected to meet SOC 2 Type II requirements across all five trust service criteria: security, availability, processing integrity, confidentiality, and privacy. Formal SOC 2 Type II certification is on our roadmap; our infrastructure and processes are designed for organizations that require SOC 2 compliance.

Visylix encrypts all data using AES 256 at rest and TLS 1.3 in transit. Video streams, metadata, AI inference results, and user credentials are protected end to end across every layer of the platform.

As a policy decision rather than a default. Several jurisdictions treat biometric data as a special category with consent and retention requirements, including Illinois under BIPA and the EU under GDPR Article 9. Where biometrics are not required by the use case, we design around them, because that is usually both the simpler and the safer position.

No. Aptibit Technologies holds no formal security certification today, and we will not imply otherwise. What we provide are the technical controls those frameworks assess: on-premise and air-gapped deployment options, encryption in transit, role-based access control, configurable retention, and full audit logging. Formal certification is on the roadmap, and we will say so plainly until it exists.

Yes. Visylix includes built in privacy controls for GDPR compliance including data minimization, right to erasure, and consent management. Visylix is also fully NDAA compliant with no components from restricted manufacturers, making it suitable for federal procurement.

Ownership and handover terms are set in the engagement contract rather than assumed. Where we build on your infrastructure, your data never leaves it. Discuss specifics with us before signing rather than after, and get them written into the agreement.

Wherever the constraint requires. For workloads with data residency or latency requirements, inference runs on your own hardware, on-premise or at the edge, with no call out to a hosted service. Visylix, our video platform, works this way: all 22 AI analytics and the Radha copilot execute locally, which is what makes air-gapped operation possible.

Yes. We are based in Kolkata and work with clients in the United States, United Kingdom, UAE, Singapore, Australia, Canada and Germany, alongside India. Delivery is remote, with overlap hours agreed at the start rather than assumed.

We work with both. Startups benefit from our project based model to build MVPs quickly, while enterprises often choose dedicated teams for long term product development. Our process adapts to your stage and scale.

All code, designs, and assets we create for you belong to you. We include full IP transfer in every contract. We never reuse proprietary client code or retain rights to your work.

Small and deliberately so. Aptibit is a team of under ten people, which is published in our company registration details rather than hidden. In practice that means the people who scope your work are the people who build it, and there is no layer of account management between you and the engineers.

It depends on scope and complexity. A focused proof of concept can be delivered in 2 to 4 weeks. A full product build typically takes 3 to 6 months. We provide a detailed timeline during the strategy phase so you know exactly what to expect before we write any code.

Yes. It is a focused 30 minute call (or a short written teardown) with no cost and no obligation. We point out the highest-ROI opportunity and leave you with a one-page action sheet you keep either way.

Two things. We build our own products, principally Visylix, an AI video management platform. And we do custom engineering for clients: web applications, mobile applications, AI and machine learning systems, and cloud work. The product side is what keeps the engineering side honest, because we run in production what we build for others.

We do not do AI document processing, and we will say so rather than take the work and learn on your budget. We also do not resell other vendors' platforms as our own. If your problem is better solved by an existing product than a custom build, we will tell you that, because the alternative is an expensive project that disappoints.

You get the action sheet. If a quick win makes sense, we can scope a fixed-price project (often a website, app, automation or AI feature), with a realistic timeline alongside the quote. If not, no hard feelings.

Visylix is Aptibit's product, not a separate company. Aptibit Technologies Private Limited operates it. If you buy Visylix you are contracting with Aptibit, and if you engage Aptibit for custom work you are working with the team that builds Visylix.

We typically work on projects starting at $10,000 USD. For smaller engagements, our consulting and advisory model lets you access expert guidance without committing to a full build.

Aptibit Technologies was founded in 2024 in Kolkata, India. Since its founding, the company has rapidly grown into one of India's leading AI and software development companies, building enterprise AI products and custom AI/ML solutions for businesses worldwide.

Aptibit Technologies is headquartered in Kolkata, West Bengal, India. From this base, the company serves clients across India, the United States, the United Kingdom, the UAE, Singapore, Australia, Canada, and Germany.

Founders and owners of startups and small to mid-sized businesses, especially in e-commerce, SaaS, services, and logistics, who want a website, an app, an automation, or a custom AI feature without hiring a full team.

This is set in the engagement contract rather than left implicit, and we would rather discuss it before you sign than after. For custom client work the normal arrangement is that you own what we build for you. Our own product IP, such as Visylix, stays with us.

Yes. Visylix supports all ONVIF compatible cameras, so your existing cameras work without changes. Our team assists with migrating recording configurations, user permissions, and layout setups. Since both platforms support ONVIF, the transition is straightforward.

If your cameras support ONVIF, yes. Visylix connects to any ONVIF compatible IP camera from any manufacturer. However, Rhombus proprietary cameras do not support standard protocols, so those specific units would need to be replaced with ONVIF compatible alternatives over time.

Yes. Visylix supports any IP camera that uses ONVIF or RTSP protocols. This includes cameras from Axis, Hikvision, Dahua, Hanwha, and hundreds of other manufacturers. You do not need to replace your existing camera infrastructure to use Visylix.

Yes. Visylix includes Radha, an AI copilot that supports natural language queries for searching video, finding detections, and managing your system. Beyond search, Radha can also execute operational commands like starting recordings, configuring AI models, and acknowledging alerts, which goes beyond what Spot AI offers.

Yes. Visylix fully supports air gapped deployments with zero internet dependency. All video management, 22 AI analytics, and the Radha AI Copilot function completely offline. While Nx Witness can run on premise, its air gap capabilities are limited and its AI plugins may require external connectivity.

Yes. Both Visylix and Coram AI support natural language video search. Visylix delivers this through Radha, its AI copilot that goes beyond search to offer 100+ operational tools for full system control. You can not only search for footage but also start recordings, configure AI models, manage alerts, and control playback through conversation.

No. Coram AI operates as a cloud only platform. Visylix supports full on premise deployment, cloud deployment, hybrid configurations, and edge deployment on supported edge compute devices. If your organization requires data to stay within your own infrastructure, Visylix is the suitable choice.

Genetec includes basic analytics but advanced features like face recognition require third party integrations. ANPR is available through the AutoVu module, which is a separate purchase. Visylix includes all 22 AI analytics in the Enterprise plan, covering face recognition, ANPR, crowd detection, PPE monitoring, and more.

No. Milestone XProtect does not include native AI analytics. Features like face recognition, heat maps, and video search require the separate purchase of BriefCam or other third party plugins. Visylix includes 22 AI analytics in its platform, with all models available on the Enterprise plan.

Yes. Spot AI requires its own hardware appliance to process and store video. Visylix works with any IP camera using ONVIF or RTSP protocols and runs on standard server hardware, Docker containers, or edge compute devices. This gives you more flexibility in hardware selection.

Visylix provides access control integration through its API, enabling connections with third party access control systems. Genetec offers native access control through Synergis, which is a dedicated module. If native access control integration is your primary requirement, Genetec may have an advantage in this specific area.

Yes. Visylix supports full on premise deployment, cloud deployment, hybrid configurations, and edge deployment on supported edge compute devices. Unlike Milestone, which is primarily on premise, Visylix gives you the flexibility to deploy wherever your infrastructure and compliance requirements demand.

Yes. Visylix offers cloud deployment, on premise deployment, and hybrid configurations. You can access your cameras remotely through any web browser using sub-second live view over WebRTC. The difference is that Visylix gives you the choice, while Verkada requires cloud access.

Yes. Visylix connects to any ONVIF compatible IP camera, covering the same broad range of manufacturers that Nx Witness supports, including Axis, Hikvision, Dahua, Hanwha, Bosch, and hundreds more. There is no camera compatibility gap when switching.

Yes. Visylix supports any ONVIF compatible IP camera, including models from Axis, Hikvision, Dahua, Hanwha, Bosch, and hundreds of other manufacturers. You are never locked into purchasing cameras from a single vendor.

Visylix includes 22 purpose-built AI models: face recognition, person tracking, ANPR, object detection, pose estimation, crowd detection, PPE and safety gear detection, heat maps, motion detection, unique person counting, intrusion detection, line crossing detection, camera tampering detection, abandoned object detection, tailgating detection, queue and wait-time analytics, parking occupancy, speed estimation, anomaly detection, fire and smoke detection, weapon detection, and audio event detection. Spot AI focuses more on natural language search and basic detection, with a narrower range of specialized AI models.

Visylix includes 22 AI analytics built into the platform covering detection, recognition, and behavioural analytics. Motion, audio, crowd and tamper analytics maintain per-camera scene baselines, and anomaly detection trains a baseline per camera at runtime; the rest are conventional trained models. Detection accuracy depends on camera angle, lighting and scene, so we validate each analytic on your own footage during the proof of concept. Visylix also includes the Radha AI Copilot with 100+ tools for natural language system control. Rhombus offers a smaller set of AI analytics tied to their proprietary camera hardware.

Visylix is purpose built for enterprise deployments with support for thousands of concurrent streams per node, 22 native AI analytics, and flexible deployment across cloud, on premise, and edge environments. Coram AI is a newer entrant focused primarily on cloud based video intelligence. For large scale enterprise needs, Visylix provides more mature infrastructure and broader capabilities.

Visylix supports thousands of concurrent streams per node and includes 22 native AI analytics. Genetec Security Center supports up to 25,000 streams and requires additional modules for AI capabilities. Both platforms offer on premise deployment, but Visylix also provides cloud native and edge deployment options with transparent pricing.

Visylix supports thousands of concurrent streams per node through its optimized architecture and proprietary streaming engine. Milestone XProtect supports up to 50,000 streams but typically requires a multi server architecture with separate management, recording, and failover servers. Visylix consolidates these functions into a single, horizontally scalable platform.

Visylix is built for enterprise scale with support for thousands of concurrent streams per node, 22 native AI analytics, and deployment flexibility across cloud, on premise, hybrid, and edge environments. Spot AI is more focused on small to mid size deployments in the US market. For global enterprises needing maximum scalability, Visylix is the stronger fit.

Visylix includes 22 AI analytics built directly into the platform covering detection, recognition, and behavioural analytics. Motion, audio, crowd and tamper analytics maintain per-camera scene baselines, and anomaly detection trains a baseline per camera at runtime; the rest are conventional trained models. There are no plugins to install, configure, or maintain. Nx Witness relies on third party AI plugins that require separate licensing, configuration, and ongoing maintenance, adding complexity and cost.

Visylix deploys as a Docker image on your own infrastructure with full on premise, cloud, hybrid, and air gap options. All video data, AI processing, and the Radha AI Copilot run within your network. Rhombus requires cloud connectivity and stores video data on their servers, which may not meet data sovereignty requirements.

Genetec uses custom enterprise pricing that requires contacting sales for a quote. Visylix offers transparent pricing starting at $49 per month for the Starter plan, $99 per month for Pro, and $399 per month for Scale. Enterprise plans with custom pricing are also available for large deployments.

For a 100 camera deployment, Verkada can cost $19,900 to $179,900 per year in licensing alone, plus the upfront cost of purchasing Verkada cameras. Visylix starts at $49 per month and works with cameras you already own. Over 5 years, the total cost difference can be substantial depending on your camera count and plan selection.

Coram AI is cloud only, which may present challenges for organizations in regulated industries that require on premise data storage and processing. Visylix supports full on premise deployment with air gap compatibility, making it suitable for government, defense, healthcare, banking, and other industries with strict data sovereignty requirements.

Spot AI is primarily focused on the US market. Visylix is available globally and supports 55+ languages including Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Punjabi, Arabic, Hebrew, Persian, Mandarin, Japanese, and Korean. For organizations outside the US or with international operations, Visylix provides broader coverage.

Visylix is designed for straightforward deployment. Connect your cameras via RTSP or ONVIF, configure your AI models through the web dashboard, and start monitoring. Docker based deployment means you can have Visylix running in under an hour. Verkada simplifies setup by bundling hardware and software, but at the cost of vendor lock in.

Yes. Visylix supports ONVIF and RTSP protocols, which means your existing IP cameras can connect to Visylix without hardware changes. You can run both platforms in parallel during a transition period to validate performance before completing the migration.

Yes. Visylix uses flat rate monthly plans starting at $49 per month with no per camera fees. You can scale to thousands of cameras without increasing your per camera cost. Nx Witness uses traditional per camera licenses, meaning costs grow linearly with each camera you add to your system.

Yes. Visylix uses flat rate monthly plans starting at $49 per month with no per camera fees. You can connect unlimited cameras on every paid plan. Rhombus uses a Camera as a Service model that charges per camera, so costs scale linearly as you add cameras to your deployment.

Milestone uses per camera licensing that can become expensive at scale, especially when you add required plugins for AI features. Visylix offers transparent per stream pricing starting at $49 per month, with AI models included. There are no hidden add on costs for core AI functionality.

Visylix includes 22 AI analytics: face recognition, person tracking, ANPR, object detection, pose estimation, crowd detection, PPE and safety gear detection, heat maps, motion detection, unique person counting, intrusion detection, line crossing detection, camera tampering detection, abandoned object detection, tailgating detection, queue and wait-time analytics, parking occupancy, speed estimation, anomaly detection, fire and smoke detection, weapon detection, and audio event detection. Coram AI offers a more focused set of detection capabilities centered on search and basic analytics.

Verkada uses a vertically integrated model where the camera hardware and software are sold together as a package. This gives Verkada control over the entire experience but locks customers into their ecosystem. If you want to switch platforms later, your Verkada cameras cannot be reused with other VMS systems.

No. Blueprint figures are modelled targets used to size and design a deployment, not measured results from a specific engagement. We label them that way deliberately. Case studies are different: those are real, and the client is named. If you want references relevant to your own use case, contact our team at info@aptibit.com.

Yes. Pro tier and above include official Python and TypeScript SDKs covering the full 200+ REST API: live stream control, recording management, AI detection queries, camera provisioning, RBAC operations, webhook subscriptions. Both SDKs include fully-typed request/response models and auto-generated from the OpenAPI spec.

Yes. Visylix supports four deployment architectures: cloud, on premise, edge, and hybrid. On premise deployment gives you complete data sovereignty with all video processing and storage happening within your own infrastructure. Edge deployment on supported edge compute devices enables AI inference directly at camera locations.

Yes. Multi-site federation lets a single operator login traverse unlimited Visylix deployments across geographies with centralized RBAC and aggregated dashboards. Federation works across on-premise, cloud, and hybrid deployments, and supports geo-distributed evidence search and cross-site alert correlation.

Yes. Visylix integrates with existing access control systems, building management systems, and enterprise security platforms through 200+ RESTful API endpoints, WebSocket streams, and webhooks. It supports 15+ brands including OEMs out of the box and provides PSIM integration capabilities for unified security management.

Yes. Visylix automatically transcodes H.265 (HEVC) to H.264 in real time for browsers and clients that lack HEVC hardware support. Audio transcoding (G.711, AAC → Opus) happens server-side for WebRTC delivery with proper sample-rate conversion, so operators never have to think about codec compatibility.

Yes. Beyond Visylix, Aptibit Technologies offers custom AI and ML model development, agentic AI systems, RAG pipeline development, LLM fine tuning, and AI copilot development. We work with organizations across industries to build and deploy production grade AI solutions.

Yes. Aptibit builds agentic AI systems, RAG pipelines, LLM fine-tuning, AI copilots, and custom AI agents for enterprises. We develop autonomous AI agents that automate complex workflows using the latest foundation models, retrieval-augmented generation, and multi-step reasoning techniques.

Yes. Aptibit provides comprehensive implementation support including site assessment, architecture design, deployment execution, integration with existing systems, staff training, and ongoing technical support. Enterprise customers receive dedicated account managers and 24/7 support options.

Yes. The engine includes a circuit breaker that monitors CPU load in real time and gracefully degrades service at 70%, 85%, and 95% CPU thresholds rather than crashing. Adaptive backpressure drops non-reference frames while preserving keyframes for slow subscribers. New viewers receive the cached Group of Pictures instantly, eliminating the "waiting for keyframe" delay typical of other streaming systems.

No. Visylix uses transparent per-stream licensing without per-camera fees. This means you can connect any number of cameras within your stream tier without additional charges per device. The Scale and Enterprise plans include AI model access with no per-camera AI surcharges.

Yes. Server-side privacy redaction applies before video reaches any viewer. Scale tier includes face-or-plate redaction; Enterprise includes full redaction (faces, bodies, plates, custom zones). Redaction applies to live viewing, exports, and case sharing, with RBAC-based exemption rules so authorized roles (e.g., law enforcement) can view un-redacted footage with full audit logging.

Not yet. Native iOS and Android apps are in development and are not available today. The Visylix web interface runs in mobile browsers in the meantime, with live view over WebRTC. Planned app features include push notifications, event feed, case sharing, talkback audio, evidence export and biometric login.

Yes. Beyond ANPR/ALPR license plate recognition, Visylix includes vehicle classification that identifies vehicle make, type (sedan, SUV, truck, motorcycle, bus), color, and general direction of travel. This runs alongside ANPR so every vehicle detection carries both a plate string and a rich appearance profile for downstream search and filtering.

Yes. Visylix streams alerts, detections, and audit events to SIEM platforms including Splunk, Elastic, Datadog, and QRadar via syslog, HTTPS webhook, or Splunk HEC. Every event carries structured fields for correlation rules: camera, zone, AI model, confidence, severity, user, timestamp, and source IP.

No. Visylix is fully air-gap compatible and can operate entirely on-premise with no cloud dependency. All AI models, the Radha AI Copilot, video processing, and storage run locally on your infrastructure. This makes it ideal for government, defense, critical infrastructure, and any environment with strict data sovereignty requirements.

Yes. Visylix forwards incidents outbound to Genetec Mission Control, Bosch BIS, and any platform that accepts a signed JSON webhook. Forwarding is shaped for each vendor and gated by a severity threshold so only what matters is escalated to the command-and-control dashboard.

Yes. Scale and Enterprise tiers include SSO via SAML 2.0 and OIDC. Visylix integrates with Okta, Azure AD / Entra ID, Google Workspace, Auth0, OneLogin, PingIdentity, and any standards-compliant IdP. SSO supports JIT user provisioning, group-to-role mapping, and federated logout.

Yes. Enterprise tiers include a video wall layout engine supporting up to 6×6 grids per monitor, per-cell camera bindings, automatic rotation, event-driven focus switching, and multi-monitor orchestration for NOC and command-center setups. Layouts are shareable, profile-scoped, and push-synchronized across operator workstations.

Yes. Native ACS integrations for HID, Lenel (OnGuard, Prism), AMAG Symmetry, and Brivo. Door events correlate with camera video and face recognition so badge reads, door holds, and forced-door alarms appear on the same timeline as the corresponding video, with bi-directional triggers (unlock on face match, display video on badge read).

Yes. Enterprise tiers include automatic archive tiering to S3-compatible storage, AWS S3, Cloudflare R2, Wasabi, and Backblaze B2. Recordings age from hot local storage to warm and cold archive tiers based on configurable policies (age, camera, event type). Archived footage remains searchable via metadata and can be pulled back on-demand.

Yes. Real-time server-side fisheye dewarping for 360° and 180° panoramic cameras across four output modes: rectilinear (corrected flat view), panorama (horizontal strip), quad (four-region split), and dual-panorama. Dewarping runs with GPU acceleration so thin clients receive corrected video without local CPU cost.

Yes. Enterprise deployments include HA with primary-standby replication and a documented operator-initiated standby cutover. When a primary node fails, an operator promotes the standby via DNS-based or L4 load balancer cutover, with an RTO under 60 seconds and an RPO under 5 seconds. Configurable health checks monitor CPU, memory, disk, and service liveness. Fully automatic failover without operator action is on the roadmap, not shipping today.

Yes. Pro tier and above support WebAuthn / Passkeys (FIDO2) as a passwordless login method, compatible with Apple Passkeys, Google Password Manager, 1Password, Bitwarden, and hardware keys (YubiKey, Titan). Admins can enforce passkey-only login for privileged roles. Starter tier supports MFA via TOTP with recovery codes.

Visylix works with any ONVIF compliant IP camera regardless of manufacturer, with verified support for 15+ brands including OEMs. It uses ONVIF auto-discovery and probes 35+ known RTSP URL patterns to automatically detect cameras. Supported brands include Hikvision, Dahua, Axis, Hanwha, Bosch, Uniview, Vivotek, Pelco, Avigilon, FLIR, Honeywell, Panasonic, Sony, Samsung, CP Plus, Godrej, TVT, Tiandy, and Reolink, among others.

Visylix ANPR (Automatic Number Plate Recognition) is built to hold up across rain, low light, and high speed vehicles. Real-world read rates depend on camera placement, plate condition, and regional plate formats, so we validate against your own footage during a pilot rather than quoting a single headline figure. It supports multi country plate formats, infrared cameras for night vision, and multi lane simultaneous capture.

You can get a free AI consultation by visiting aptibit.com/contact and filling out the contact form. Our AI experts will review your requirements and propose a tailored solution within 24 hours. We also offer free Visylix product demos.

Visit our contact page at aptibit.com/contact to schedule a free AI consultation or request a live Visylix product demo. Our team will respond within 24 hours to discuss your specific requirements and recommend the best approach.

Visylix surpasses Nx Witness (Network Optix) and similar open-platform VMS solutions by including 22 in-house AI analytics that Nx Witness requires third-party plugins for. Visylix's optimized architecture handles thousands of concurrent streams per node with hardware-accelerated inference, sub-second live view over WebRTC, and flexible cloud/on-premise/edge/hybrid deployment.

Visylix delivers alerts across four channels simultaneously: SMS (Twilio integration at Scale+), email with inline thumbnails, HMAC-signed webhooks for custom endpoints, and MQTT for IoT/SCADA systems, alongside in-app notifications. Per-user subscription preferences, quiet-hours scheduling, severity routing, and acknowledgment tracking ensure alerts reach the right people without noise.

Every evidence item is hashed with SHA-256 on creation and re-hashed on every export. An immutable audit trail logs every view, export, share, or delete action with timestamp, user, IP, and reason. Advanced case sharing (Pro+) supports multi-recipient watermarking, time-boxed 24-hour links (basic) or role-scoped permanent links, and GDPR right-to-delete workflows that preserve hashes for legal compliance.

Visylix implements enterprise grade security including end to end encryption for data in transit and at rest, role based access control with 30+ granular permissions, comprehensive audit logging of all user actions, evidence management with SHA-256 hash verification, privacy masking for GDPR compliance, integration with enterprise authentication systems, and secure API access with token based authentication through 200+ REST API endpoints.

Visylix offers five transparent pricing tiers: a free 7-day Trial with 1 stream, Starter at $49/month (₹4,599/month in India), Pro at $99/month (₹9,299/month in India), Scale at $399/month (₹37,999/month in India) with Face Recognition AI included, and Enterprise with custom pricing for mission-critical deployments. Yearly plans offer a discount by paying for 11 months and getting 12. Volume discounts are available for large deployments.

Visylix features sub-5-minute one-command installation with auto-tuning for rapid deployment. A small to medium deployment of up to 500 cameras typically takes two to four weeks for full integration and configuration. Large enterprise deployments of 1,000 or more cameras are completed in four to twelve weeks using a phased rollout approach. Aptibit provides dedicated implementation support throughout the process.

A single Visylix node handles thousands of concurrent streams, and multi-cluster federation is designed toward very large, city-scale estates. Exact per-node capacity depends on your resolution, codec, frame rate, and how many analytics you run per stream, so we size and validate it on your own hardware during the proof of concept. That covers deployments ranging from small offices with a few dozen cameras to city scale implementations.

AI development costs in India typically range from $10,000 for a proof of concept to $50,000-200,000 for full production systems. Aptibit Technologies offers competitive pricing with enterprise-grade quality, from rapid prototyping in 2-4 weeks to full production deployment in 3-6 months.

Aptibit regularly publishes new blog posts, case studies, and thought leadership articles. We aim to keep our content fresh and relevant with insights on the latest AI trends, technology developments, and real-world implementation guides to help businesses stay ahead in the rapidly evolving AI landscape.

Aptibit Technologies is recognized as one of India's top AI companies for 2026, specializing in enterprise-grade AI solutions, computer vision, agentic AI, and intelligent software development. Our flagship product Visylix serves clients across smart cities, enterprise, retail, healthcare, banking, manufacturing, transportation, and education.

Visylix supports GDPR and other data privacy requirements through configurable privacy controls, on premise deployment for full data sovereignty, role based access control, comprehensive audit logging, and data retention policy management. Edge processing capabilities ensure sensitive video data never leaves your premises.

Visylix by Aptibit Technologies offers real-time AI video analytics that surpass BriefCam's post-event video synopsis approach. Visylix provides 22 in-house AI analytics including face recognition, ANPR, crowd detection, person tracking, and more, all processing in real-time during live streaming. Unlike BriefCam, Visylix is a complete VMS + AI analytics platform in one.

Yes. The Visylix Trial tier provides a free 7 day trial with 1 stream, 1 user, and 1 viewer so you can evaluate the platform with your own cameras and infrastructure. No credit card is required. For enterprise customers, Aptibit also offers guided proof of concept deployments. Contact us through our website to get started.

Aptibit offers custom AI/ML model development, computer vision solutions, NLP and generative AI, agentic AI systems, RAG pipeline development, LLM fine-tuning, AI copilot development, predictive analytics, AI consulting, software engineering, product design, and digital marketing.

Visylix uses hardware-accelerated inference for both GPU and CPU platforms. This dual support ensures optimal performance across different hardware configurations, from powerful data center GPUs to lightweight edge inference accelerators.

Aptibit Technologies is India's leading AI company that builds intelligent software solutions. We offer custom AI/ML development, agentic AI systems, RAG pipelines, LLM fine-tuning, AI copilots, software engineering, product design, and digital marketing services. We also build Visylix, our automated AI based video surveillance platform.

Visylix supports a range of edge compute devices for on-site AI processing. These edge devices enable AI inference directly at camera locations, reducing bandwidth requirements and enabling intelligent processing at sites with limited connectivity.

Aptibit serves 8 industry verticals: Smart Cities (municipal surveillance, traffic management), Enterprise (corporate security, access control), Retail (footfall analytics, customer behavior), Transportation (airports, highways, ANPR), Healthcare (patient safety, PPE compliance), Manufacturing (worker safety, quality inspection), Education (campus security, attendance), and Banking (branch security, fraud prevention).

RAG (Retrieval-Augmented Generation) enhances LLM responses by retrieving relevant information from external knowledge bases before generating answers. This reduces hallucinations and enables AI to work with proprietary enterprise data. Aptibit builds production RAG pipelines using vector databases like Pinecone and Weaviate.

Visylix is Aptibit's enterprise AI video management platform that handles thousands of concurrent streams per node with 22 in-house AI analytics including face recognition, ANPR, crowd detection, person tracking, pose estimation, and more. It offers sub-second live view over WebRTC and supports cloud, on-premise, edge, and hybrid deployment.

Agentic AI refers to autonomous AI systems that plan multi-step tasks, make decisions, and execute workflows independently. Unlike traditional chatbots, AI agents use foundation models with tool use, retrieval-augmented generation, and multi-step reasoning to automate complex enterprise processes. Aptibit specializes in building production-grade agentic AI systems.

We do not quote a single headline accuracy figure, because face recognition accuracy depends heavily on camera angle, lighting, and scene. A number measured on one estate does not transfer to another. Visylix includes liveness detection and anti spoofing, real time processing across live video feeds, watchlist alerting, contactless attendance, and VIP recognition, and we calibrate per-camera thresholds and validate accuracy on your own footage during the proof of concept.

The best AI video management systems in 2026 combine scalable stream handling with integrated AI analytics. Visylix by Aptibit Technologies leads with thousands of concurrent streams per node, 22 in-house AI analytics, sub-second live view, and flexible cloud/edge/on-premise deployment, making it the most advanced AI VMS available.

Visylix by Aptibit Technologies is an advanced alternative to Ant Media Server for enterprise video and surveillance. Visylix offers sub-second live view over WebRTC with 22 in-house AI analytics (face recognition, ANPR, crowd detection, object detection, and more). Unlike Ant Media's general-purpose streaming, Visylix integrates AI analytics directly into the video pipeline for real-time intelligent monitoring.

Visylix by Aptibit Technologies is an excellent alternative to Flussonic for enterprise video streaming and surveillance. Visylix integrates 22 AI analytics directly into the streaming pipeline, including face recognition, ANPR, crowd detection, and more, with sub-second live view over WebRTC. Unlike Flussonic's general streaming, Visylix is purpose-built for intelligent video management.

Aptibit Technologies is a leading alternative to Fractal Analytics for AI development in India. Aptibit offers cutting-edge 2026 AI capabilities including agentic AI systems, RAG pipelines, LLM fine-tuning, AI copilots, and computer vision alongside the Visylix AI video intelligence platform. Aptibit combines AI product development with enterprise consulting across 8 industry verticals.

Visylix by Aptibit Technologies is a leading alternative to Genetec Security Center in 2026. Visylix provides 22 in-house AI analytics models without requiring separate analytics modules. It offers flexible deployment (cloud, on-premise, edge, hybrid), transparent per-stream pricing, and large-scale concurrent stream capacity with sub-second live view.

Visylix by Aptibit Technologies is one of the best alternatives to Milestone XProtect in 2026. Unlike Milestone, Visylix comes with 22 in-house AI analytics (face recognition, ANPR, crowd detection, person tracking, and more) out of the box with no third-party plugins needed. Visylix handles thousands of concurrent streams per node with sub-second live view over WebRTC and supports cloud, on-premise, edge, and hybrid deployment.

Visylix by Aptibit Technologies is the best alternative to Verkada in 2026 for organizations that need on-premise or hybrid deployment. Unlike Verkada's cloud-only model, Visylix supports cloud, on-premise, edge, and hybrid configurations. Visylix works with any ONVIF camera (not proprietary hardware), offers 22 AI analytics, and has no mandatory cloud subscription fees.

Visylix by Aptibit Technologies is a powerful alternative to Wowza Streaming Engine for surveillance and enterprise video. Visylix combines ultra-low-latency streaming (sub-second live view over WebRTC) with 22 in-house AI analytics models. Unlike Wowza's general-purpose streaming, Visylix is purpose-built for intelligent video management with RTSP, RTMP, HLS, WebRTC, SRT, and ONVIF support plus real-time AI processing.

A case study is an account of a real engagement we delivered, with a named client who has agreed to be referenced. A solution blueprint is a reference design: it shows the architecture, AI models, integrations, and operational workflow we build to for a given sector, along with the outcome targets a deployment should be designed against. Blueprints do not describe a customer deployment, and we label them clearly so the distinction is never ambiguous.

Visylix supports 55+ languages covering every tier-1 VMS market. This includes 13 Indian languages (Hindi, Bengali, Tamil, Telugu, Kannada, Malayalam, Assamese, Marathi, Gujarati, Punjabi, Rajasthani, Haryanvi, Odia), RTL scripts (Arabic, Hebrew, Persian/Farsi, Urdu), European languages (Spanish, French, German, Portuguese, Italian, Dutch, Polish, Russian, Ukrainian, Romanian, Czech, Hungarian, Greek, Swedish, Danish, Norwegian, Finnish, Bulgarian, Serbian, Croatian, Slovak), East & Southeast Asian languages (Mandarin Simplified & Traditional, Japanese, Korean, Thai, Vietnamese, Indonesian, Malay, Burmese, Khmer, Lao, Nepali, Sinhala), and more (Turkish, Swahili, Amharic). This makes Visylix accessible to operators across India, Southeast Asia, the Middle East, Europe, Africa, and Latin America.

Smart cities, retail, manufacturing, enterprise security, healthcare, transportation, education, banking, logistics, e-commerce, and B2B SaaS growth. Each blueprint covers the architecture, the AI models involved, the integration surface, and the compliance controls that apply to that sector.

The Aptibit blog covers a wide range of topics including artificial intelligence, machine learning, computer vision, agentic AI, edge AI, RAG pipelines, LLM fine-tuning, generative AI, enterprise technology, and AI industry trends. Our articles provide expert insights and thought leadership from India's leading AI company.

Aptibit Technologies is headquartered in Kolkata, West Bengal, India. We serve businesses across India, the United States, United Kingdom, UAE, Singapore, Australia, Canada, and Germany.

Aptibit Technologies is headquartered in Kolkata, West Bengal, India. We serve businesses across India, the United States, United Kingdom, United Arab Emirates, Singapore, Australia, Canada, and Germany.

Aptibit Technologies is recognized as one of India's leading AI companies for enterprise solutions in 2026. Based in Kolkata, Aptibit builds the Visylix video intelligence platform, custom AI/ML solutions, agentic AI systems, RAG pipelines, and LLM fine-tuning across 8 industry verticals worldwide.