Grounded copilots
Support and internal assistants that answer from your actual docs (RAG), with sources attached.
Agents, copilots and RAG that actually ship — the useful kind, not the demo that dies on Monday. Plugged into your real data.
AI is having a moment, and most of it is demos that die after the meeting. We build the useful kind — agents, copilots and retrieval grounded in your real data, with the evaluation to prove it works before it touches a customer.
Retrieval-grounded, source-cited, and measured against an eval set before it ever meets a customer.
Capabilities
Support and internal assistants that answer from your actual docs (RAG), with sources attached.
Not just chat — agents that take real, permissioned actions in your systems.
Extraction, classification and summarisation across the paperwork that slows you down.
LLM features built into the product you already ship to customers.
A measured accuracy score before launch — and tracking once it’s live.
Citations, fallbacks and human handoff so it’s safe in front of customers.
We don't ship demos that die on Monday. We ship the boring, useful kind.
Architecture
Every response is retrieved from your data, reasoned over by a model, and logged so you can measure it.
The process
We start with a job worth doing — not 'add AI'. The boring, high-volume task wins.
We prototype against your real documents and measure it with an eval set.
Citations, fallbacks and human handoff, so it's trustworthy in front of customers.
We track accuracy in the wild and tune as your data and needs change.
The difference
By the numbers
The toolkit
Working together
Bring the boring, high-volume task. If AI isn’t the right tool, we’ll tell you — sometimes plain automation wins.
We prototype against your real documents and measure it with an eval set before launch.
We track accuracy once it’s live and tune as your data and needs change.
Questions
That's why we ground answers in your actual data and cite sources, then measure it with an evaluation set before launch. If it's not accurate enough, it doesn't ship.
Yes. We design around your privacy requirements, keep your data in systems you control where needed, and never train public models on your private content.
Whatever fits the job and budget — we're not tied to one vendor. We pick on accuracy, cost and your data constraints, and can swap as the landscape moves.
Only if there's a real, repetitive task it can take off your plate. We'll tell you honestly if AI isn't the right tool — sometimes plain automation does the job better and cheaper.
Ready when you are
Bring the repetitive, high-volume task. We'll prove it on your real data — or tell you honestly when AI isn't the answer.