Four tightly integrated service lines that take you from "should we use AI here?" all the way to a governed, observable system running in production. Switch between them below.
We start with your business, not the technology. Through structured discovery we map where AI creates defensible value, quantify the ROI with hard numbers, and produce a board-ready roadmap that sequences quick wins ahead of moonshots — and is honest about where AI shouldn't be used at all.
When off-the-shelf tools won't cut it, we engineer bespoke LLM systems — autonomous agents, retrieval-augmented generation and fine-tuned models — grounded in your data and wrapped in the guardrails an enterprise demands. Every system ships with an evaluation harness so quality is measured, not assumed.
AI is only as good as the data beneath it. We build the pipelines, vector stores and governance that turn scattered, messy enterprise data into a reliable, queryable, AI-ready foundation — with lineage and access controls auditors are happy to see.
A demo that works once is worthless; a system that works every day is transformational. We make AI production-grade — automated deployment, continuous evaluation, deep observability and cost governance — so your team can trust what's running and improve it safely.
Start small and prove value, scope a full build, or have us run it for you. Most clients begin with a Discovery Sprint.
2 weeks · fixed fee. Rapid assessment of your opportunities, a prioritised use-case shortlist and a costed roadmap. Low-risk way to start.
8–16 weeks · scoped. We design, build and ship a production system — with your team alongside ours so they own it after handover.
Ongoing · retainer. We operate, monitor and continuously optimise your AI systems against agreed SLAs and cost targets.
That's exactly what a Discovery Sprint is for. Let's map your situation and recommend the right path — no obligation.
Talk to an AI Strategist