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AI built around your specific business problem: computer vision, generative AI assistants, AI agents and machine learning, delivered ready for everyday use. Built in India by the team behind our own products, with full ownership passed to you.
Six disciplines that cover most of what organisations need from AI, each delivered ready for everyday use.
AI that understands images and video, trained on your own imagery: detecting, tracking, reading text and raising real-time alerts. It is the expertise behind the 22 AI analytics in our own Visylix platform, including PPE detection at mAP@50 0.865.
Assistants that answer from your own documents (RAG), language models tuned to your field, and copilots connected to your live systems, running on your own hardware when data cannot leave the building.
AI agents that work through a task, use your real systems and take action, not just answer questions, with clear permissions, safeguards and hand-over to a person when unsure.
Forecasting, churn, anomaly detection, risk scoring and optimisation on your historical data, measured against a business outcome you care about.
Preparing data is often the largest part of an AI project: bringing it together, labelling it and checking its quality. We plan for it from the start rather than discovering it later.
Monitoring, regular updates and safe rollback, so your AI stays accurate in everyday use instead of quietly slipping over time.
Many AI programmes stall between the pilot and everyday use. Our approach is designed to carry you all the way through.
We define the outcome in measurable terms before any AI work starts. Not "use AI in support" but "cut first-response time on billing requests, measured monthly". Clear targets are what make AI succeed.
We review what data exists, what it is worth, and whether AI is the right tool. Sometimes simple rules will serve you better, and we will say so before you spend the budget.
A focused 4 to 8 week build that tests one idea on real data. You receive evidence, not a demo, measured against the bar we agreed.
Data preparation, building the AI, connecting it to the tools your team already uses, and helping people adopt it, priced from day one.
Monitoring and regular improvement against the original business goal. We hand over a system your team can run, with the documentation to do it confidently.
Custom AI is not always the answer. Here is how we help you decide before any engagement.
Most organisations do best buying everyday tools and building only where it sets them apart. Our custom AI vs off-the-shelf guide covers the decision in depth.
Published ranges, so you can plan before the first call. Priced against a working system, not consulting hours, with senior engineering at India cost levels, well below US and Western European rates.
$1k to $80k
4 to 8 weeks
Test one idea on real data. You receive a working model and a clear view of whether the approach will deliver.
$80k to $300k
4 to 9 months
A system ready for everyday use on one business problem, with data preparation, integration, monitoring and adoption included.
$400k+
9 months+
An AI platform serving several business areas, with real-time results, edge or air-gapped deployment and governance across teams.
Plan for ongoing running and support costs after launch, which we include in every estimate. The full cost framework is in our real cost of AI development guide.
Visylix, our automated AI video surveillance platform, brings 22 AI analytics built in-house and Radha, an on-premise AI copilot with 111 tools, to the customer's own premises. The team that built it delivers your engagement.
Our AI expertise is proven every day in a platform we build and run ourselves.
Models, code and data pipelines are yours, running on infrastructure you control. No platform lock-in.
You meet the engineers who will do the work before you sign.
Engineered for the frameworks our buyers are audited against, with data protection designed in for rules such as India's DPDP Act and GDPR.
Book a free AI audit and we will tell you plainly whether custom AI is right for your problem, what it would cost and what to watch for. If buying beats building, we will say so.
Custom AI development means building AI around one specific business problem rather than buying a general-purpose product. It covers defining the problem, preparing data, building and testing the AI, and connecting it to the tools your team already uses. The result is designed for your organisation, not for an average customer.
It depends on scope. A proof of concept that tests one idea usually takes 4 to 8 weeks; a production system takes a few months; a multi-site platform takes longer. We scope the work, agree a fixed estimate before we start, and include the cost of running the system after launch. Senior engineering at India cost levels, well below US and Western European rates.
Build when the problem is specific to how you operate, when your data gives you an advantage, or when the data must stay in-house. Buy when the need is common, such as transcription or translation, and a good product already exists. Most organisations should buy the everyday tools and build only where it sets them apart.
A focused proof of concept usually takes 4 to 8 weeks. A production system usually takes a few months, depending on data readiness, the systems it connects to and any regulatory review. Preparing data is often the largest piece of work, so we plan for it from day one.
You do. The software, models and data pipelines we build belong to you and run on infrastructure you control. We never make our platform or tools a condition of the work.
Yes. We can run the entire system on your own infrastructure, with no connection to the outside world if required. Your data and your AI stay inside your network. It is how defence, government, banking and healthcare organisations typically want AI delivered, and it is exactly how our own product, Visylix, runs.
We build and run our own product. Visylix, our AI video surveillance platform, brings 22 AI analytics built in-house and Radha, an on-premise AI copilot with 111 tools, to the customer's own premises. The team that built it delivers our client work, and we name the engineers who will work with you before you sign.
We engineer for the frameworks our buyers are audited against: data stays where you decide, access is restricted and recorded, connections are encrypted, and we provide the documentation your auditors ask for. We design for the data-protection rules you operate under, such as India's DPDP Act and GDPR.