AI development & consulting · London
AI systems that survive contact with production.
We design and build production AI for teams where accuracy, workflow integration and operational reliability matter — from agents and retrieval systems to complete platforms.
Selected work
Three products, three industries, all in production.
Media production, legal and clinical software — different risk profiles, one engineering standard.

Media & production
GATA AI
A script-to-video production workspace where script, look, cast, voice and shots run in parallel. Now used and whitelabelled by production companies.

Legal
Legal AI agent
A legal AI agent that proposes high-quality, context-aware revisions and applies approved edits directly inside Word.

Healthcare
Clinical RAG platform
Retrieval-grounded clinical information for UK doctors, and structured preparation for UK licensing examinations.
Services
Four ways teams bring us in.
From a fixed discovery sprint to a complete product build or embedded leadership.
From a blank page to a production system. We scope the product, prove the risky parts, build the application and its evaluation harness, and stay through launch.
02Agent & LLM engineeringAgents and retrieval systems that can show their work. We build around your corpus and workflows, measure accuracy with domain experts, and design for the cases where the model should stop.
03Discovery & AI strategy sprintsA short engagement that converts ambition into a plan you can fund. We assess your data, test the risky assumption early, and hand back a scoped technical roadmap: what is feasible today, what it will cost to run, and what to build first.
04Fractional CTO / Chief AI OfficerSenior technical leadership without a full-time hire. We own the AI roadmap, sit in on vendor and architecture decisions, help you hire the right engineers, and give your board straight answers about capability, cost and risk.
Process
Scoped in weeks, not quarters.
Frame the risk
Find the assumption most likely to make the product fail.
Prove it early
Test on real data before committing to the full build.
Build the system
Ship product, evaluation and operations together.
Transfer ownership
Leave code, evidence and documentation your team can run.
Tell us what you are trying to build.
A paragraph is enough. You will get a technical opinion back within one working day.