When off-the-shelf models don't fit your use case or performance budget, must run on specific embedded hardware, or when your data is sensitive and must stay under your control during training and inference.
Identity, state, pose, speech and video understanding — single-signal or fused.
Compact, efficient architectures for embedded and neuromorphic-class platforms.
European data handling; training and inference on-prem or in a sovereign environment.
Built to your use case and hardware, not forced from a generic baseline.
Delivered via SDK with deployment expertise to run it in the field.
Rigorously tested outputs you can interpret and defend.
Capability you can own and defend — not a third-party cloud API.
Teams needing a model built for specific data, hardware and constraints.