What we do

Deep-tech engineering

Hardware integration, real-time systems and optimised AI infrastructure.

What it is

Some AI problems do not end at the software layer. When the problem calls for it, we go all the way down, into hardware, real-time systems and infrastructure.

What we do

  • Hardware integration: for example, hardware timing and precision lap tracking inside a motorsport platform.
  • Real-time systems: systems that act as events happen, such as fraud agents that trigger action in real time.
  • Optimised AI infrastructure: an image-generation platform that produced 50,000+ assets at about one tenth of frontier-model cost.
  • Real devices at scale: agentic testing that grew from hundreds to 2,000+ physical devices.

From our work

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