We work where AI is hardest to get right: regulated, scientific and security-sensitive environments. Every engagement is run by the people who build it — no handoffs to a delivery team that doesn't exist.
We design LLM systems that do real work — agents, copilots and automations wired into your tools, your data and your guardrails. Built to be measured, not demoed.
Grounded, citable answers over your private corpus. We engineer retrieval that earns trust — hybrid search, re-ranking and evaluation, not vector-search roulette.
Ontologies and graphs that let your data reason about itself — the connective tissue beneath trustworthy AI and analytics in complex domains.
Security engineered for sensitive, regulated and scientific systems — from threat modelling to red-teaming the AI itself before anyone else does.
Lakehouse, pipelines and governance built to scale, to audit, and to outlive the hype cycle — the foundation everything else is mined from.
We diagnose before we dig. A short, sharp engagement to map the real problem, the data, the risks and whether it's even worth building.
A working prototype against your real data — proof, not slideware. You see the seam before you commit to the mine.
We build the production system: evaluated, observable, secured and documented. The people who designed it write the code.
Hardening, handover and enablement. We leave your team able to run, extend and trust what we built — not dependent on us.
A model that won't ship. A corpus you can't trust. A graph nobody can read. That's our territory.