The bottleneck is rarely the software you already have
Most back offices have a system that's perfectly capable of holding the data. The problem is getting the data into it — someone opens a PDF, reads twelve fields, and types them into a form, twenty or two hundred times a day.
That work doesn't scale, and it's where errors creep in: a transposed digit, a skipped field, a document nobody got to before the deadline.
Signs it's time
Someone's job is mostly retyping · volume grows faster than headcount · errors trace back to manual entry · documents pile up before anyone reviews them
What we build
Structured extraction
OCR plus field-level extraction from scans, PDFs and photographed forms.
Confidence scoring
Every field carries a confidence score, so review time goes to what's actually uncertain.
Validation rules
Cross-checks against your existing records catch mismatches before they reach a database.
Review queues
A side-by-side view of the source document and extracted fields for fast human sign-off.
System integration
Validated data lands directly in the system you already use — no re-keying at the end.
Full audit trail
Every extracted value keeps a link back to the exact page it came from.
How long it takes
1–2 weeks
Prototype on real documents
We run a sample batch through extraction and show you the accuracy, before committing to a build.
6–10 weeks
Production pipeline
Review queue, validation rules and the integration into your system of record.
Ongoing
Tuning
Accuracy improves as edge cases from real volume get folded back into the rules.
Still retyping PDFs by hand?
Send us a sample document. We'll tell you what's realistic to extract and what still needs a person.