What we build, and how.
Not a full-stack AI agency covering everything. Four related capabilities we go deep on — each engineered around an organization's real documents and data, not general AI guesswork.
Document Intelligence
OCR and automatic classification systems that read scanned documents — or even photos of them — extract the text, and sort them by type without manual filing.
- Digitizing paper archives into searchable, structured records
- Auto-sorting inbound documents (invoices, contracts, forms) by type
- Extracting key fields from documents for downstream systems
RAG-Grounded AI Assistants
Chat assistants that answer only from your organization's actual documents and records — retrieved and cited at answer time, not recalled from general training data.
- Student- or staff-facing assistants grounded in institutional policy
- Internal knowledge assistants for procedures and documentation
- Support assistants that cite the exact source document used
Operational Risk & Anomaly Detection
Systems that cross-reference operational records — like invoices against project data — to flag mismatches and at-risk items automatically, before someone finds them the hard way.
- Cross-referencing invoices against project budgets or contracts
- Flagging records that don't reconcile across two data sources
- Surfacing at-risk items on a dashboard instead of a spreadsheet
Integration & Deployment
Connecting these systems into how an organization already works — existing document stores, dashboards, and workflows — instead of asking anyone to change tools.
- Wiring AI systems into existing databases and file stores
- Exposing systems through APIs your other tools can call
- Deploying and monitoring the system once it's live
Not sure which of these fits?
Tell us the problem — we'll tell you which parts apply.