Document processing automation
We build intelligent document processing for US companies: extract structured data from PDFs, forms, invoices, and scanned documents with accuracy you can measure. The goal is to delete the manual data-entry job, not assist it.
No sales script. You talk to the engineers who'd build it.
Our team works a shifted day so you get real-time standups and same-day turnarounds across US time zones, not next-morning replies.
Every line of code, model weight, and prompt is yours from day one. NDAs and clean IP assignment are standard, not an upsell.
You work directly with the engineers building your system. No account managers sitting between you and the people writing code.
We move from scoping to a working system in production in weeks. Most engagements ship something usable inside the first month.
What we build
Concrete systems we ship, tuned to your data and your stack.
Any document
Invoices, contracts, forms, statements, and handwritten scans, structured or not.
Measured accuracy
We benchmark extraction against labeled data so you know the real error rate before launch.
Confidence routing
Clean documents flow straight through; only low-confidence fields reach a human.
Straight into your stack
Extracted data lands in your database, ERP, or workflow automatically.
How we work
Scope & evals
We pin down what success means and build the evaluation set before writing the feature, so quality is measured, not guessed.
Build in the open
Weekly demos against real data. You see progress every week and can change direction before it gets expensive.
Ship & instrument
We deploy with logging, cost tracking, and guardrails in place, then tune against production traffic.
Hand off or stay
Take the keys with full docs, or keep us on for iteration. Either way you're never locked in.
Questions, answered
How accurate is the extraction?
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It depends on the document, and we measure it rather than guess. We report accuracy per field against a labeled set and use confidence thresholds so unclear cases get a human review.
Can it handle handwriting and bad scans?
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Yes, within reason. We combine modern OCR with model-based extraction, and we're upfront about which document types will need a review step.
Is this better than traditional OCR tools?
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For anything beyond clean, fixed templates, yes. Model-based extraction understands context and variation that template OCR breaks on.
Where does the extracted data go?
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Wherever you need it. We push structured output into your database, ERP, or downstream workflow through APIs so nobody re-keys anything.
Let's scope your build.
Tell us what you're trying to ship. We'll tell you honestly whether AI is the right tool and what it would take.
Start the conversation