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Cloud, on-premise, edge, or hybrid -- Visylix adapts to your infrastructure. Run AI video analytics wherever your cameras are, with container-native orchestration and hardware-accelerated processing at every layer.
Choose the deployment model that matches your security posture, latency requirements, and operational preferences.
Zero infrastructure to manage. Visylix runs in our secure cloud with automatic scaling, updates, and 99.9% SLA-backed uptime.
Deploy Visylix on your own hardware for complete data sovereignty. Ideal for air-gapped environments and strict compliance requirements.
Run AI inference directly on edge devices near cameras for sub-100ms response times and reduced bandwidth consumption.
Combine edge processing with cloud analytics. Run time-critical inference locally and aggregate data in the cloud for dashboards and long-term storage.
Every deployment model shares the same robust, secure, and performance-optimized infrastructure layer.
Fully containerized with Helm charts for orchestration across 8 core services. Sub-5-minute one-command installation with auto-tuning. Scale individual services independently based on workload demands.
Purpose-built for GPU acceleration from edge compute devices to data center GPUs. Hardware-accelerated inference, transcoding, and encoding across all deployment modes.
mTLS between all services, encrypted storage at rest, and role-based access control with audit logging for every operation.
Zero-downtime deployments with canary releases and automatic rollback. Update AI models without interrupting live streams.
Distribute workloads across geographic regions for disaster recovery, data residency compliance, and edge proximity.
Architecture designed for SOC 2, GDPR, HIPAA, and ITAR compliance with configurable data handling and retention policies.
Our solution architects will help you choose and configure the optimal deployment model for your infrastructure, scale, and compliance needs.