// What we do

Three ways to work with us.
One standard of work.

We structure engagements around what you actually need — not our internal org chart. Here's how organisations work with us, and when each model makes sense.

01 / 03
Build
Full AI product, end to end
From first principles to production. We take ownership of the problem, the architecture, and the outcome — and deliver AI products that hold up in the real world, not just the demo.
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02 / 03
Embed
Senior practitioners, inside your team
Engineers, AI researchers, and product leads who work inside your organisation — not adjacent to it. You keep ownership. We take accountability. Useful in week two, not month two.
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03 / 03
Advise
AI strategy & technical diligence
Transformation roadmaps, architecture reviews, and technical due diligence — grounded in delivery. We've built the things we advise on, so the advice is specific, not theoretical.
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01 / 03Build
Full AI product, end to end
When to choose this

You have a problem, a mandate, and a budget — but not an internal team that can build what you need. You want a dedicated team that owns the outcome from first principles to production.

What it includes
Problem definitionProduct & architectureDesign & UXAI / ML engineeringFull-stack buildQA & deployment
What's different

"We don't start with a tech stack. We start with the business problem. The technology is the means, not the point."

02 / 03Embed
Senior practitioners inside your organisation
When to choose this

You have an internal team but need to accelerate, fill a specific senior gap, or bring in AI expertise you don't have — while keeping full ownership and management.

What it looks like
Dedicated individuals or podsInside your systems & sprintsAI engineeringProduct managementSolution architectureData science · UX
What's different

"The people we embed are senior enough to shape the work, not just execute it — genuinely useful in the first two weeks, not the first two months."

03 / 03Advise
AI strategy & technical diligence
When to choose this

You're at a strategic decision point — an AI roadmap, an architecture choice, a build-vs-buy call, or technical due diligence — and you want an independent perspective from people who've built at this level before.

What it includes
AI transformation strategyArchitecture assessmentTechnical due diligenceBuild-vs-buy analysisVendor evaluationAI readiness audit
What's different

"Our advice is grounded in delivery. We've built the things we advise on — so our recommendations are specific, not theoretical."

Not sure which
model fits?

Most conversations start with a short description of the problem. We'll tell you honestly what makes sense — even if that's not us.

Start a conversation