Where VAOS™ runs

Applications
across physical AI

One coherent runtime. Seven domains where vision-native intelligence makes the difference between a model and a system.

🤖

Robotics

AMRs, co-bots, autonomous fleets. Multi-camera navigation with sensor selection. OTA agent updates across thousands of robots.

🦺

Industrial Safety

PPE compliance, restricted-zone monitoring, validation-gated alerts. Line-side intelligence with structured Scene Contract output.

🚗

Autonomous Systems

From mobile robots to vehicles. Closed-loop perception → reasoning → action with sub-50ms end-to-end latency at the edge.

📷

Multi-camera Intelligence

N-camera fusion under per-camera reliability scores. Coherent scene from partial views — the sensor-aware perception patent.

🦿

Physical AI

The intelligence layer for machines that act in the physical world. Sensor-aware, local-first, persistent — not a stateless API.

Edge AI Vision

Transformer-class inference on RK3588, Jetson, Pi 5, and custom OEM SoCs. No cloud dependency. Full data sovereignty.

🛰️

Sensor Fusion

Cameras, LiDAR, radar, IMU, depth. VAOS™ unifies disparate inputs into one Scene Contract — typed, validated, machine-readable.

Real use case

Robotics — end-to-end

A pallet, a moving forklift, a stranger and a robot that has to make a safe decision in <50ms.

👁️
Observe
Pallet + moving forklift detected on wide-angle camera
01
🗺️
Structure
Best camera selected, exposure adjusted for lighting variation
Patent
🧠
Think
Scene Contract published: event: collision_risk
03
🛡️
Validate
Action gated against scene confidence + sensor reliability
Patent
Act
Navigation receives recommended_action: slow_down
05
💾
Learn
Outcome captured into local memory — site learns from every cycle
06

End-to-end pipeline runs fully local — latency <50ms

Deploying autonomy?
Bring us your hardest perception problem.

Robotics platforms, industrial integrators, infrastructure operators — let's discuss your scenario.

Discuss your deployment See the demo