Enterprise AI video management system with 12 self-learning AI models, Radha AI Copilot, 10 streaming protocols, 200+ API endpoints, NVR forensic access, zero-CPU recording, and sub-500ms WebRTC latency. Deploy on-premise, cloud, or hybrid across smart cities, retail, healthcare, manufacturing, and transportation.
Everything you need to ingest, record, analyze, and act on video data at enterprise scale, with 12 AI models, 10 protocols, NVR forensic access, and the industry's first AI copilot.
Face recognition, license plate recognition (ANPR), object detection, person tracking, crowd detection, PPE detection, heat maps, motion detection, pose estimation, unique person counting, intrusion detection, and line crossing, all improving daily without manual retraining.
Sub-500ms WebRTC latency with native support for RTSP, RTMP/RTMPS, HLS/LL-HLS, SRT, NDI, RIST, ONVIF, and GB28181. Stream over one million concurrent connections from a proprietary engine built from scratch.
Direct bitstream to faststart MP4 without transcoding. Native H.265 recording preserving 50% bandwidth savings. Four modes: continuous, scheduled, event-triggered, and manual with timeline playback up to 8x speed.
Access recordings from 19+ NVR brands, Hikvision, Dahua, Uniview, Axis, Bosch, Hanwha, and any ONVIF Profile G device. Time-range search, multi-channel forensic grid, and SHA-256 verified downloads.
The first conversational AI assistant for VMS with 22 tools. Control cameras, search recordings, manage alerts through natural language. 9B parameter model running 100% on-premise.
On-premise, cloud, hybrid, or edge. Air-gap compatible with zero cloud dependency. 5,000+ cameras per server, 200+ REST API endpoints, white-label branding, and 55+ language support including RTL scripts (Arabic, Hebrew, Persian, Urdu) and 13 Indian languages.
The first conversational AI assistant built for video management. Radha turns complex VMS operations into simple conversations, giving operators instant access to 22 tools through natural language.
Control cameras, search recordings, manage alerts, create schedules, capture snapshots, and navigate the dashboard through simple conversation.
Say "show me all cameras with face recognition enabled" and Radha lists them instantly. Ask it to start a recording and it calls the API and confirms the result.
Runs a 9 billion parameter model on your hardware. All conversations stay within your infrastructure. Works in air gapped environments with zero cloud dependency.
Prompt injection detection, role based access control per tool, per user rate limiting at 10 messages per minute, and complete audit logging of every action.
How many cameras are offline right now?
You have 3 cameras currently offline: Lobby Camera 2, Parking Level B1, and Loading Dock 3. Would you like me to attempt reconnection?
Start recording on Camera 12
Recording started on Camera 12. I will confirm the file size and duration when you stop the session.
Show me crowd alerts from today
Found 4 crowd detection alerts today: Cafeteria at 12:34 PM (78 people), Main Lobby at 9:02 AM (63 people), Auditorium at 2:15 PM (124 people). I can pull up the footage for any of these.
Specialized AI video analytics solutions designed for the unique requirements of smart cities, enterprise security, retail, healthcare, transportation, manufacturing, education, and banking sectors.
Built from the ground up for reliability, security, and massive scale. Visylix delivers enterprise grade video intelligence you can depend on.
TLS 1.2+ enforcement, DTLS-SRTP encrypted WebRTC, AES-256 credential storage, RBAC with 30+ permissions, comprehensive audit trails, and content security policy, built for mission-critical video infrastructure.
Dedicated support engineers available around the clock with proactive system monitoring and guaranteed response times. On-premise, air-gap compatible, with zero cloud dependency.
Redundant containerized microservices with automatic failover, graceful shutdown, leader election, and continuous health monitoring. 5,000+ cameras per server validated in production.
Face recognition, ANPR/ALPR, object detection, person tracking, crowd detection, PPE detection, heat maps, motion detection, pose estimation, unique person counting, intrusion detection, and line crossing, all self-learning models that improve daily without retraining.
Organizations across industries rely on Visylix for intelligent video management at scale. From manufacturing floors to smart city command centers, our platform delivers results.
50+
Enterprise Deployments
8
Industries Served
99.9%
Platform Uptime
80+
Countries Supported
“Visylix processes over 10,000 camera feeds simultaneously with AI analytics that actually work in real world conditions. Nothing else comes close at this scale.”
Chief Technology Officer
Global Security Firm
“The self learning AI eliminated 90% of our false alarms within the first month. Every camera now has its own optimized detection profile.”
Head of Security Operations
National Hospital Network
“Radha AI Copilot changed everything. Our operators ask questions in plain English and get instant answers about any camera, alert, or recording.”
VP of Engineering
Smart City Initiative
Get started with Visylix today. Our team will work with you to design the ideal deployment for your organization, from a single location pilot to a full enterprise rollout across thousands of cameras.