Your domain expertise is trapped in documents, threads, and the heads of three people. This turns it into something the whole team can query.
When this is the right call
What we build
Answers assembled from your own material, each one carrying citations to the source passage so a reader can verify rather than guess.
Extraction and structuring of contracts, invoices, reports, and specifications, so unstructured files become data you can query and act on.
Assistants that live in Slack, Teams, or your own product, so the knowledge arrives where the work already happens instead of in another tab.
Retrieval that respects who is allowed to see what, so a copilot never becomes an accidental route around your access controls.
Typical stack
Good fit
We take on 4-6 clients at a time and turn down work outside our expertise. If this is not the right fit we will say so on the call rather than after the invoice.
Common questions
A copilot runs continuously against your live sources, respects your permissions, cites what it used, and sits inside the tools your team already works in. Uploading files is a one-off that none of those things are true of.
That is a design decision we make with you. We can keep retrieval and storage inside your own infrastructure and send only the assembled prompt to the model provider, or run the whole stack in your environment if your compliance position requires it.
Sources are re-indexed on a schedule or on change, so answers reflect the current version. Stale retrieval is the most common reason these systems lose trust, so it is handled explicitly rather than left to chance.
Also from us
Agents that take real actions in your systems — not chatbots that summarise a document and stop.
When the AI system needs a home — or the problem was never an AI problem — we build the software underneath it.
AI is only as good as the data feeding it. This is the infrastructure underneath — the part nobody demos and everything depends on.