OCR & Document Understanding
Scaled OCR + vision-language pipelines for document compliance, archival, claims processing, and contract analysis. Works on print, handwriting, and degraded scans.
What it is
Document AI combines optical character recognition, layout understanding, and vision-language models to extract structured data from documents at scale. Unlike single-stage OCR, our pipelines route work across model tiers based on page complexity, optimizing both quality and cost.
When you'd use it
- Claims and prior auth processing in healthcare and insurance
- Contract analysis for legal and procurement teams
- Loan document automation in financial services
- Archival and compliance digitization at multi-million-page scale
Technical depth
- Multi-stage pipelines: detect, extract, classify, validate
- Layout-aware OCR for tables, forms, and structured documents
- Vision + language fusion for handwritten and degraded content
- Cost-aware routing across model tiers
- Per-class evaluation and quality dashboards in production
Why this matters
Customers who process documents at scale often start with a generic vision model and hit accuracy or cost walls. Custom-trained pipelines on customer-domain documents typically deliver 5-10x cost reduction at the same quality bar.
Where it ships.
How we deliver it.
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Ready to ship this inside your environment?
Bring your use case to a 30-minute discovery call. We'll tell you whether this technology fits and how it gets deployed.