AI Engineering
Intelligence with a human handover.
- Agentic systems (LangGraph)
- RAG (LangChain)
- AI copilots
- GenAI integrations
- predictive analytics
- custom LLMs, fine-tuning & evals
AI-centred design and engineering — full stack, from first workshop to production.
Every AI ambition reaches the same decision: build the capability, or become the capability. We offer both — each starting with a 1–3 week Frame and scaling to production systems your teams own.
Build with us
Design & Engineering Pods
Build with us — a senior pod on your product: strategy, PoC, production. Or a dedicated pod that becomes your AI product team: a micro-GCC without the GCC overhead.
↗Us inside your team
Team Redesign
Us inside your team — embedded AI engineers and designers in your stack, your rituals, your roadmap. For startups and government teams alike.
↗The full stack, one firm.
Seven tracks covering the entire build — from the intelligence layer to the cloud it runs on. Whatever the entry point, the rest of the stack is already in the room.
Every service can start with a 1–3 week Frame.
Each rung compounds — a working system first, then a workforce that runs it.
1–3 weeks
Frame the problem
1–3 weeks that end with usable output, not a report:
· MVP prototype · Service design · Customer journey maps · Solution roadmap
The foundational building blocks of your build — yours to keep whichever way you go.
A direction you can act on8–12 weeks
Prototype the value
8–12 weeks. A working prototype in real users' hands — testing value and feasibility before any full build commitment. Compounding on the Frame outputs.
A working idea in real hands3+ months
Own the outcome
3+ months. Design, engineering, AI workflow design, rollout, adoption support — until your teams run it without us.
A system your team owns