We turn emerging technologies into products and systems that generate a return.
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Machine learning for offline, constrained and regulated settings.
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Real-time sound and sensor processing on constrained hardware.
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Advice and integration that bring AI into your own systems, with private data kept on your infrastructure.
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Exterior sound, driver feedback and vehicle-data middleware.
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AI-powered simulation for VR training.
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AI models that run on site and offline, so private data stays secure.
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Acoustic fault monitoring that informs maintenance schedules.
4 to 8 weeks
A fixed-price prototype and a written recommendation on whether to continue.
3 to 12 months
Phases that each end with an acceptance test.
By agreement
A Season3 researcher works within your team.
Why
Many of the problems we work on have no established solution and therefore require research before engineering.
What
Problems where existing tools have not worked, for example because the system has to run offline or on fixed hardware.
How
Through phases, each with an acceptance test agreed before development starts.
Electric vehicles · Prototype delivered
Head-up display cues and sound driven by the driver-assistance sensors, on embedded hardware. EV programme, OEM not disclosed.
Electric vehicles · Delivered
Automotive sound-design pipeline and reference integration for Audiokinetic.
Further work
Meta / Oculus Studios · Samsung Harman · Sony · Heineken · Sensorium · Stonetek · Loodl AG · Mena Arts UK · Digimeals
A small team of PhDs with backgrounds in machine learning, DSP, applied AI and organisational psychology.
🇪🇺 We are based in the European Union
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