Coming soon · Q3 2026

Hybrid VLM + OCR for document understanding.

Enterprise-grade extraction of tables, key-value pairs, and handwriting from any document — with deterministic, hallucination-free accuracy.

Request early access How it works

Pure LLMs guess.
Hybrid systems know.

01 / Architecture

Three layers. One determined answer.

A vision model understands what it sees. Algorithmic OCR reads what's actually there. A fusion engine reconciles both with confidence scoring you can trust in production.

VLM

Structural understanding

Recognizes layout, table boundaries, form structure, and reading order in complex multi-column documents.

OCR

Deterministic recognition

Character-level text recognition with hallucination-free output. Same input, same answer — every time.

Fusion

Cross-validation

Reconciles structural understanding with precise extraction for production-grade confidence scoring.

02 / Capabilities

Built for what real documents look like.

Table extraction

Structured output to JSON, CSV, or Excel — including merged cells and nested headers.

Key-value extraction

Automated identification on invoices, forms, IDs, and receipts. No predefined schema required.

Intelligent character recognition

Handwritten and cursive text, augmented by VLM context — not guessed at by it.

Document classification

Automatic categorization across invoices, contracts, medical records, and government forms.

03 / For AI agents

The document understanding layer your AI stack is missing.

Convert unstructured PDFs and images into actionable, schema-typed data your agents can reason over.

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Sub-second latency at scale

SOC 2

Type 2 certified

VPC

Self-hosting option

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Deterministic output

Be first to ship with it.

We're notifying early-access partners as the API stabilizes. Tell us about your use case.

Request early access