AI-enabled software

We build AI into products people use. Not demonstrations, and not a model sitting behind an API that nobody has worked out what to do with.

Cirrus Bridge won a 2025 TechBehemoths AI award for this work. The engineering is the part that gets recognised. The part that makes it useful is the thinking that happens first.

This page is about making something predict, generate or classify. If the need is connecting systems that disagree with each other, or reporting on what already happened, that is custom business systems and integrations.

Why AI projects stall

The common failure is not accuracy. It is that the system produces output and nobody can say what a person should do differently after reading it. Without a decision attached to it, the output goes unread and the system gets quietly switched off within a quarter.

Preventing that is a design problem, not a modelling one. What decision is this informing. Who makes it. What would change their mind. What does the result need to look like for someone to use it in the ten minutes they have.

What we build

AI features inside existing products. Sentiment and signal analysis on unstructured data. Document and workflow automation. Intelligent data extraction and classification. Decision support tooling for operations and management. Integration of commercial models into systems that already exist, where that is the sensible route.