AI

AI that ships to production, not to a slide deck.

We design, build and run LLM products, agents and machine-learning systems for companies that need them to work on real data, under real load, with real accountability.

Artificial intelligence

MostAIprojectsfailbetweenthedemoandthedeployment.Westartfromtheevaluationset,thedataandthefailuremodes,sowhatweshipismeasuredbeforeitistrusted,andkeepsbeingmeasuredafter.

30+
AI features and products in production for clients.
0
Models shipped without an evaluation set signed off by the client.
6–14 wks
Typical time from kickoff to a pilot on live data.
How we work with AI

Four rules we don't break.

They are why our AI features are still running a year after launch.

01Evaluation before generationWe assemble real inputs and expected outputs first. Every architecture decision is scored against them.
02Grounded, cited, escalatedAnswers come from your content, show where they came from, and hand off to a human when they should.
03Data is the projectMost AI engagements are data engagements. We fix the pipeline before we tune the prompt.
04Run it, don't just build itTracing, cost controls, drift alerts and nightly evals ship with the feature, not after the incident.
Models and tools

Model-agnostic by design.

We pick by evaluation score and running cost, and build so the choice can change.

ClaudeOpenAIGeminiLlamaLangGraphpgvectorPineconePyTorchscikit-learnFastAPIAWS BedrockAzure AIVertex AIOpenTelemetry

Have a workflow AI should be doing?

Tell us what it is. We'll come back within one business day with whether it's a good fit, and how we'd prove it.

Enquiry

Take the
brighter path.

Tell us what you’re building. We’ll be in touch within one business day.