Traditional systems process frames in isolation. Our self-learning world model builds memory, recognizes patterns, and gets smarter with every camera feed.
Connect any cameraâCCTV, drones, satellites, smartphones. All visual sources unified into one self-learning intelligence layer. One model, every camera type.
The world model learns from every observation. Scene Memory captures what's normal. Evidence Memory stores what happened. Patterns emerge automaticallyâno manual training required.
JEPA-based prediction learns to forecast future states. When reality differs from learned expectation, the system alertsâ90%+ fewer false positives than rule-based systems.
Cloud, on-premise, or air-gapped. Edge inference runs on your hardware. Your cameras, your data, your self-learning world modelâfully sovereign.
"Connected 12 cameras on day one. By week two, the model had learned our facility's patterns and started catching real anomalies we'd missed."
Security Director
Manufacturing
"The self-learning approach is a game-changer. No rules to write, no thresholds to tuneâit just learns what's normal and alerts on what isn't."
ML Engineer
Smart Cities
Connect cameras. Start learning. Get intelligent.