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Applied R&D lab for the next season.

We turn emerging technologies into products and systems that generate a return.

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What we do

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01

Applied AI

Machine learning for offline, constrained and regulated settings.

02

Signal Processing and Embedded Audio

Real-time sound and sensor processing on constrained hardware.

03

Private AI Deployment

Advice and integration that bring AI into your own systems, with private data kept on your infrastructure.

Where we work

01

Electric vehicles

Exterior sound, driver feedback and vehicle-data middleware.

02

VR and simulation

AI-powered simulation for VR training.

03

Heavy industry

AI models that run on site and offline, so private data stays secure.

04

Energy

Acoustic fault monitoring that informs maintenance schedules.

How we engage

4 to 8 weeks

Feasibility study

A fixed-price prototype and a written recommendation on whether to continue.

3 to 12 months

R&D programme

Phases that each end with an acceptance test.

By agreement

Embedded delivery

A Season3 researcher works within your team.

Our answers to the big questions

Why

Why an R&D lab?

Many of the problems we work on have no established solution and therefore require research before engineering.

What

What kind of problem suits us?

Problems where existing tools have not worked, for example because the system has to run offline or on fixed hardware.

How

How do we manage the risk of research?

Through phases, each with an acceptance test agreed before development starts.

Selected work

Electric vehicles · Prototype delivered

Driver and pedestrian awareness system

Head-up display cues and sound driven by the driver-assistance sensors, on embedded hardware. EV programme, OEM not disclosed.

Electric vehicles · Delivered

Wwise for Automotive

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

The lab

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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