Document Intelligence
Automated extraction and classification of financial documents at scale.
Year
2025
Timeline
5 months
Team
4 engineers
Focus
Document intelligence
Results that matter
- 99.2%
- extraction accuracy
- 10×
- faster processing
- −80%
- less manual entry
The challenge
A fast-growing European fintech was drowning in manual processing of invoices, KYC documents and contracts , slow, error-prone, and impossible to scale with headcount alone.
Our approach
We built a document-intelligence pipeline: OCR, layout-aware extraction with fine-tuned transformer models, deterministic validation rules, and a human-in-the-loop queue that routes only low-confidence cases to reviewers.
The outcome
99.2% extraction accuracy, documents processed 10× faster, and manual data entry cut by 80% , freeing the operations team for higher-value work.
What we delivered
Tech stack
“They turned a painful manual process into something we barely think about anymore. Accuracy is better than our old team, and it scales instantly.”
, Head of Operations, European fintech
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