Most AI pilots never reach production. We build the ones that do.

Built, proven against real evals, and still working long after we leave
Worked with Teams at
/build:
Agents
Evals
Pipelines
/tool:
Claude Code
/stack:
TypeScript, Node
/tool:
Cursor
/model:
Claude
/stack:
Go services
/model:
Gemini
/tool:
Windsurf
/model:
Mistral
/tool:
Zed
/model:
Hugging Face
/tool:
Claude Code
/stack:
TypeScript, Node
/tool:
Cursor
/model:
Claude
/stack:
Go services
/model:
Gemini
/tool:
Windsurf
/model:
Mistral
/tool:
Zed
/model:
Hugging Face

How we work

Inside your team, from pilot to production

We embed with your team, ship the system, and hand over the keys.

Most AI programmes stall in the gap between a demo that impressed the board and something a business can actually depend on. We work inside your team to close it, building the system, the evidence that it works, and the capability to keep it running once we are gone.

Production, not prototypes. Every engagement ends with something running, measured, and owned by your team.
Your engineers, upskilled
so the capability stays after we leave.

What we do

/build:

AI Delivery

We design and ship AI systems into production: agents that do real work, retrieval over your own data, and the pipelines and infrastructure underneath them. Our engineers sit in your team and write the code. You get a working system, not a roadmap for one.

/prove:

Proof it still works

AI fails quietly. It does not throw an error, it just gets slowly worse and nobody notices until a customer does. We build the evaluation harnesses, regression suites and monitoring that tell you whether the system is working and catch it when it stops. A decade of testing discipline, pointed at systems that have no fixed right answer.

/enable:

Team Enablement

Transformation stalls when the team left holding it cannot run what was built. We assess your engineers, fill the gaps from our bench of over 200 vetted specialists, and pair with them until the system is genuinely theirs.

Talk to us
/embed:

Embedded Specialists

Separately from the work above: where a team needs one person rather than an engagement, we place individual engineers on flexible terms. Same assessment bar, no long-term commitment, and no obligation to take the rest of the programme with them.

Talk to us

Start with the outcome

not the technology

/goal:
A support agent that stops hallucinating
Search across ten years of contracts
Evals for the LLM features we shipped
Get our copilot rollout out of pilot
Halve the time spent on manual review
Talk to us

Tell us what you’re trying to ship

Start with the outcome, not the technology. We’ll come back with whether we can help and how we’d approach it.

We only use this to reply to you. No lists, no sequences.