An AI development partner, not a vendor relationship
As an AI development partner our measure of success is that you need us less over time. That means building the shared platform once, pairing with your engineers, and documenting as we go rather than at the end.
No sales script. You talk to the engineers who'd build it.
Our team works a shifted day so you get real-time standups and same-day turnarounds in your time zone, not next-morning replies.
Every line of code, model weight, and prompt is yours from day one. NDAs and clean IP assignment are standard, not an upsell.
You work directly with the engineers building your system. No account managers sitting between you and the people writing code.
We move from scoping to a working system in production in weeks. Most engagements ship something usable inside the first month.
What we build
Concrete systems we ship, tuned to your data and your stack.
Platform before projects
Tool layers, identity, tracing, and evaluation built once, so every project after the first is assembly rather than integration.
Pairing and transfer
Your engineers work alongside ours and pick up the patterns. A partner who is impossible to leave is not a partner.
Roadmap sequencing
What to build next, ordered so early wins fund the harder work rather than the reverse.
Ongoing evaluation
Model changes, upstream system changes, and quality drift caught by a harness that runs continuously.
How we work
Scope & evals
We pin down what success means and build the evaluation set before writing the feature, so quality is measured, not guessed.
Build in the open
Weekly demos against real data. You see progress every week and can change direction before it gets expensive.
Ship & instrument
We deploy with logging, cost tracking, and guardrails in place, then tune against production traffic.
Hand off or stay
Take the keys with full docs, or keep us on for iteration. Either way you're never locked in.
Questions, answered
What is different about a partnership versus a project?
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Projects optimise for delivery of one thing. Partnerships optimise for the second and third thing being cheaper, which means investing in shared infrastructure that a single project would not justify.
How do you avoid becoming a dependency?
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Documentation and pairing as we go, your stack and conventions rather than ours, and short notice periods. Several clients have taken the work in-house after two or three systems, which we consider a success.
What commercial shape does this take?
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Usually a rolling retainer with a defined capacity. No multi-year commitment, because a partnership that needs a contract to survive is not one.
Can you work with our existing vendors?
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Yes, and often the useful role is making sure what they build stays portable: standard protocols, your evaluation data in your repository, and export rights that work.
Let's scope your build.
Tell us what you're trying to ship. We'll tell you honestly whether AI is the right tool and what it would take.