EngineeringOwn InfrastructureHigh complexity
Edge AI Deployment
Run models on devices, vehicles and sites where connectivity, latency or privacy rule out the cloud.
How we approach it
Compress and quantise models for the target hardware, deploy them with signed over-the-air updates, and monitor their performance in the field. Raw data stays on the device; only aggregates or flagged events leave it.
Business value
Real-time AI that does not depend on connectivity
Technology stack
- Model quantisation
- ONNX Runtime
- edge hardware
- fleet management
- signed updates
Related service
Infrastructure & MLOpsRelated use cases
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