Document Intelligence
OCR and classification systems that read scanned documents — or photos of them — and sort them automatically.
We build document intelligence, AI assistants, and risk-detection systems — all grounded in an organization's actual records, not general internet knowledge. Currently building for construction.
A chatbot trained on general internet knowledge will confidently answer questions about your organization — and be wrong. We build systems that read your real documents, records, and data first, then answer only from that.
Two related things we go deep on: reading documents, and answering questions from your real data.
OCR and classification systems that read scanned documents — or photos of them — and sort them automatically.
Chat assistants that answer only from your organization's real documents — retrieved and cited at answer time.
Systems that cross-reference operational records to flag mismatches and at-risk items automatically.
Connecting these systems into how an organization already works, instead of asking anyone to change tools.
Serious AI systems require more than a model — they need a structure the model can operate inside.
One is built and working. One is still in progress. Both are real — the code is on GitHub.
Given a scanned document — or just a photo of one — it uses OCR to extract the text and automatically classifies what type of document it is, no manual sorting required.
View case study →Currently building: a dashboard with a chatbot for construction companies that cross-references invoices against project data — flagging projects that don't match their invoices, and projects that were expected to win but are losing ground.
View case study →Let's engineer the intelligence behind it.