Perception, inference, and dispatch designed to run on-device, sub-100ms targets, inside the cameras and sensors already mounted to the floor. v0.1 preview — seeking pilot partners.
Three layers of one working runtime.
Sensors feed inference. Inference feeds dispatch. Each layer ships on the same node, beside the camera.
Inference at the source.
Designed for sub-100ms decisions, no cloud round-trip, and offline-resilient operation through network outages.
- NVIDIA® Jetson™ class nodes
- Custom edge runtime
- Offline-resilient cluster
Models that read the environment.
Detect, track, segment, and fuse signals from every camera into one spatial picture. Privacy boundaries enforced at the frame.
- Multi-camera fusion
- Behavior and anomaly detection
- ONNX runtime
Perception wired into operations.
From a tracked event to a dispatched response in one hop. Webhooks, building systems, and ticket queues consume the same stream.
- Event webhooks
- Building-system actuation handlers
- Apache Kafka®
Six environments, one runtime.
Each environment names a real operation: a queue, a fall, an elevator door, a loading bay. The runtime is the same node.
Hospitals
Fall detection, hand-hygiene compliance, bed turnover, and patient flow across wards, corridors, and triage.
Retail floors
Queue length, shrink events, dwell heatmaps, and shelf gaps tracked without storing identifiable footage.
Building systems
Occupancy, HVAC load, access events, and incident alerts fused into a single floor-by-floor telemetry stream.
Smart elevators
Door-zone safety, predictive maintenance, and dispatch logic tuned per car, per shift, per building.
Public spaces
Crowd density, anomaly flags, and incident triage across stations, plazas, and transit corridors.
Industrial sites
Defect catches, PPE checks, and throughput telemetry at the line, the bay, and the loading dock.
Six primitives, named for the runbook.
Each primitive is the term a deployment engineer would type. Composed per site.
Detect◢
People, vehicles, objects, behaviors — at frame rate.
Analyze◢
Streams roll up into dwell, density, and throughput.
Fuse◢
Cameras, lidar, and IoT into one signal.
Twin◢
Live state mirrors the site, zone by zone.
Edge◢
On-device weights tuned for latency and outage.
Dispatch◢
Events route to webhooks, tickets, and shifts.
The next layer of computing runs inside the rooms people already occupy: hospital wards, supermarket aisles, factory lines, elevator shafts, station platforms. Cameras and sensors are the keyboards.
Edge Intelligence is the runtime for that layer. Perception on the node, dispatch on the wire, telemetry on a stream — one substrate across every deployment.
The screen was the last interface. The environment is the next interface.
One install, one site.
If you run a hospital ward, a retail floor, a vertical-transport fleet, or a logistics bay and have cameras already mounted, we install the runtime.