Custom models trained on your data and hardware, and complete AI solutions built on BeEmotion models.
When off-the-shelf isn't enough, we build bespoke multimodal models: trained on your data, optimised for your hardware, and deployable at the edge.
When you need this. When off-the-shelf models don't fit your use case, hardware budget, or data-control requirements.
Full perception stack. Identity, state, pose, speech and video understanding: single-signal or fused.
Edge-optimised. Compact, efficient architectures for embedded and neuromorphic-class platforms.
Trained under governance. Strict data governance; training and inference on-prem or on your own infrastructure.
A tuned model suite. Built to your use case and hardware, not forced from a generic baseline.
An integration path. Delivered via SDK with deployment expertise to run it in the field.
Explainable & validated. Rigorously tested outputs you can interpret and defend.
Teams needing a model built for specific data, hardware and constraints.
We help you integrate trusted, human-and-behaviour AI into your products and workflows: from first proof-of-concept to robust, edge-deployed production systems.
The problem. Most AI pilots stall before production, blocked by hardware limits, data-control requirements, or the gap between a demo and a system that runs reliably in the field.
Scoping and demonstrations. A clear brief built from your problem and constraints, and hands-on demonstrations against your use case, so decisions are made on evidence.
Proof of concept and pilot. A working proof of concept, then a real-world pilot in your environment.
Integration. BeEmotion models integrated into your product, workflow and hardware.
Production deployment. A robust, optimised system on the edge, on your premises or in a private cloud, with the expertise to keep it running in the field.
A decade of applied AI. Proven across automotive, aviation, healthcare and security.
Edge & deployment expertise. From prototype platforms through HIL to failsafe production electronics.
Architecture, not just models. We own the path from ideation to a system that works in the field.
Product teams, OEMs and enterprises putting trusted AI into production.