AI capability
Edge AI
Models optimised to run on-device — offline, inside tight power budgets, and without sending data anywhere.
Capabilities
What we build
Model quantisation and pruning
On-device inference runtimes
Hardware selection and benchmarking
Offline-first application design
Fleet deployment and OTA model updates
Power and thermal profiling
Typical use cases
Where it gets applied
01
Offline transcription and analysis
02
Remote asset monitoring
03
In-vehicle and industrial inference
04
Privacy-constrained deployments
Every engagement ships with evaluation
We build the scoring harness before the feature, so you can see whether quality is improving — and get told when it drifts.