AI-Native Document Processing β
Deploy in Days, Not Months
The GenAI-native orchestration layer that turns any document into structured data. No templates. No training datasets. Just describe what you need.
Want to talk through your use case first? Book a consultation
Legacy IDP Is Broken
Traditional document processing platforms weren't built for the GenAI era.
Template-Heavy Setup
Weeks of template creation for every document type. New variants? Start over.
Dataset Labeling Overhead
Hundreds of labeled samples before you see any results. Slow, expensive, fragile.
Vendor Lock-In
Tied to a single model, a single vendor. No flexibility as AI evolves.
How It Works
Production-grade document processing in four steps.
Upload
Drop in any document β PDF, image, fax, scan
OCR & Understand
Premium OCR extracts text, tables, and layout
Classify
AI identifies document types automatically
Extract & Validate
Structured data with business-rule validation
The GenAI-Native Difference
Not a wrapper around an LLM. A production orchestration layer.
| Feature | Legacy IDP | Generic LLM | Our Platform |
|---|---|---|---|
| Setup time | Weeksβmonths of templates | Prompt and pray | Days β describe intent, start processing |
| New document types | Retrain ML model | Edit prompt | Add description β no training |
| Accuracy | High (narrow scope) | Inconsistent | High + business-rule validation |
| Hallucination control | N/A | None | Deterministic pipeline + validation |
| Model lock-in | Vendor-locked | Single provider | Model-agnostic orchestration |
Built for Your Role
Enterprise
Deploy document AI use cases in days, not months
SMB
Enterprise-grade doc AI without the enterprise setup
Developers
Stop rebuilding document pipelines from scratch
System Integrators
Accelerate client delivery with a white-label engine
ISVs
Embed document processing into your product
Solutions
By Industry
By Department
See How Models Compare
Independent benchmarks on real-world document processing tasks.
| Model | Extraction Accuracy | Hallucination Rate |
|---|---|---|
| Platform (orchestrated) | 96.8% | 0.3% |
| GPT-4o | 93.2% | 2.1% |
| Claude Sonnet 4 | 92.7% | 1.8% |
of enterprise AI experience
of projects delivered
model-agnostic by design