Services

Edge Deployment

Run AI models on-premise or at the edge — no cloud dependency, no data leaving your facility.

AI that runs where your data lives

Factory floors, warehouses, remote sites — not every environment has reliable cloud connectivity. Not every company wants production data leaving their network. Edge deployment puts inference where it matters: next to the camera, the microphone, the sensor.

Deployment targets

On-premise servers

Industrial edge devices

Hybrid architectures

What gets deployed

Any Hashtee model or custom pipeline:

Raru Runtime for real-time visual inspection directly on the production line
Obi for acoustic monitoring without streaming audio to the cloud
Binbin for WIP tracking using local CCTV feeds
Dodo for inline quality inspection at the station level

Operational model

<50ms

typical edge inference latency

Remote model updates without downtime — new model versions pushed over-the-air
Local logging with periodic sync for audit trails
Health monitoring and alerting for edge devices
No production data leaves your network unless you choose otherwise