Document extraction pipeline.
A pipeline that turns PDFs and reports into structured fields in a database: dates, values, parties, coordinates, whatever you need pulled out. AI does the first pass; a human-review step catches errors before anything is trusted. Accuracy is measured, not assumed.
Teams sitting on hundreds or thousands of documents whose contents need to become rows in a database, not text in a folder.
Scoped after discovery
6–12 weeks
Commercial terms follow the diagnostic, so the number reflects the actual system rather than a generic package. Commitments stay staged; you never take the whole project on faith.
What building it involves.
- 01
Field schema design with your team
- 02
AI extraction pipeline with confidence scores
- 03
Human-review workflow for low-confidence results
- 04
Accuracy measurement against a labelled sample
- 05
Export to your database or spreadsheet format
Tell us about yours.
Every build starts with a short conversation and a scoped, fixed-price first stage.