The pressure is the same in every programme: more confidence, from less driving, in less time.
And much of the raw data they bring back is never used.
You cannot wait for them to happen on a test track.
Every face, every market and every lighting condition.
Most data collection means repeated drives, terabytes of raw files and weeks before anyone sees a result. AXIRA captures every sensor in one synchronised pass and makes sense of it inside the vehicle. What leaves the car is intelligence you can use straight away.
Driver and occupant monitoring has to work for every face, age and skin tone, in every market you sell into. ANTARA runs in-cabin data campaigns anywhere in the world, from recruiting diverse participants to capturing consented sessions across camera, infrared, radar and voice.
You cannot drive every scenario. And without reliable HD maps, it is hard to prove your localisation really works. We generate realistic HD-map scenarios, run your stack against them and deliberately push it to its limits.
We started by labelling data for a premium carmaker's autonomy programme. Today we co-create IP with OEMs and build the platforms behind their data.
Annotation and labelling for autonomous-driving programmes.
Full-spectrum AI, simulation and validation work.
Research and IP developed together with a premium OEM.
AXIRA, ANTARA and the HD map simulation engine.
We generated scenarios that were impossible to drive safely, fused the vehicle's sensors and stress-tested the software, awkward edge cases included.
Result. a repeatable validation platform, built to OpenDRIVE and ADASIS standards.
Our researchers built self-learning maps and weather-adaptive localisation for dense cities and poor visibility, using lower-cost sensors.
Result. new methods for rain, fog and heavy occlusion, published internationally.
Trusted by teams at
