AI systems that design, run, and learn from experiments.
A new interface between intelligence and the physical world.
Most AI systems stop at prediction. We are building systems that interact with the physical world - continuously learning through experimentation.
Move from hypothesis to validation at machine speed.
Learn directly from real-world experimental outcomes.
Systems improve continuously through feedback.
Advances in AI have transformed how we model complex systems. The next step is systems that can act on them.
The future of science is autonomous. Systems will not just predict outcomes - they will generate them.
UKRI Innovate UK
NVIDIA Inception
Accelerate Cambridge, Cambridge University