Service · Delivery
AI that answers from your knowledge — built so you can trace how it answered.
A chatbot that confidently makes things up is a liability. We build retrieval-grounded AI assistants on your own documents, data, and policies — with the access controls and audit trails that let you put them in front of real users without crossing your fingers.
Book a fit callThe demo always works. Production is where it breaks.
Wiring an LLM to a vector store takes an afternoon. Making it trustworthy is the hard part: it has to answer from verified sources, refuse when it doesn't know, respect who's allowed to see what, and leave a trail you can inspect when someone asks “why did it say that?” That gap between a demo and a system you'd stake your name on is exactly what we close.
What we build
A governed retrieval pipeline, not just a chatbot
Grounded retrieval
Answers are drawn from your own structured and unstructured knowledge, with citations back to the source — so users can verify, and you can trace.
Access-aware by design
Retrieval is built to respect who's asking, so answers are drawn from documents the user is permitted to see — and we test that boundary before launch.
Built-in audit trail
Responses can record what was retrieved, what the model was asked, and what it returned — the trail you need for compliance reviews and for debugging.
Evaluated before it ships
We build a test set from your real questions and measure groundedness and accuracy, so “it feels good” becomes a number you can hold the system to.
Built with the same cross-model review discipline as the rest of our work: the retrieval and guardrail code is reviewed by a different model than the one that wrote it. How far each guarantee goes depends on your data readiness, identity model, source permissions, and deployment environment — we scope that honestly in the fit call.
Where this fits best
Internal knowledge assistants, support and policy lookup, document-heavy workflows — anywhere the value is real but a wrong, confident answer is a problem. For knowledge that needs to be structured first, we partner with Knowillence to get the source material right before we build the pipeline on top. And when the bigger question is the architecture itself, start with AI Architecture & Advisory.
Book a fit call