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— AI Agent · Documents

Turn documents into structured data.

Extract, classify and summarise contracts, invoices, claims and forms at scale — with a schema you define, human review where it counts, and an audit trail on every field. The end of manual data entry.

95%field-level accuracy · 80% faster processing · live in 3–5 weeks
95%Field-level accuracy
80%Faster than manual entry
100%Fields audit-logged
3–5 wksTo production
— What it does

Any document in. Clean data out.

Not a generic OCR box. A pipeline that reads your document types, extracts to your schema, checks its own work, and escalates what it's unsure about.

— 01

Extract to your schema

Pull exactly the fields you need — line items, dates, parties, totals — into structured JSON you define.

  • Custom field schemas
  • Tables & line items
  • Structured JSON / CSV out
— 02

Classify & route

Automatically sorts documents by type and routes each to the right workflow or queue.

  • Document-type classification
  • Auto-tagging
  • Queue routing
— 03

Summarise & compare

Summarises long contracts, flags clauses, and compares versions to spot what changed.

  • Contract & clause summaries
  • Version comparison
  • Risk-clause flags
— 04

Validation & checks

Cross-checks totals, dates and references against your systems before anything is trusted.

  • Cross-field validation
  • PO / ledger matching
  • Confidence thresholds
— 05

Human-in-the-loop

Low-confidence fields go to a reviewer with the source highlighted — fast to correct, and the model learns.

  • Review UI with source view
  • Only flags what's unsure
  • Feedback loop
— 06

Audit & export

Every field is traceable to its source with a full audit trail, then pushed to your ERP, DMS or database.

  • Field-level provenance
  • Immutable audit log
  • ERP / DB export
— How it works

The architecture, end to end.

Documents arrive from any source, OCR and parsing turn them into text, the extraction engine maps fields to your schema, validation and human review guard quality, and clean data is exported.

Runs in your cloud or a private VPC · data never trains third-party models · SOC 2, HIPAA & GDPR-ready

— Connects to

Plugs into the stack you already run.

Ingests from anywhere and delivers clean data into the systems of record you already run.

PDF
Scan / TIFF
Email
S3
SharePoint
SAP
NetSuite
QuickBooks
Salesforce
Snowflake
Postgres
GPT-4o
Claude
Azure OCR
Tesseract
Your VPC
— Deployment

From sample docs to live in weeks.

A fixed-scope rollout — we prove accuracy on your real documents before it touches production.

01

Discovery — Week 0

We map your document types, the fields you need, downstream systems and accuracy targets.

02

Build — Weeks 1–3

We build the extraction schema, OCR pipeline and validation rules, and process a sample set.

03

Evaluate — Weeks 3–4

Accuracy measured field-by-field against ground truth; review UI and thresholds tuned to your risk.

04

Go live & monitor — Week 5+

Phased rollout with dashboards on accuracy and throughput. Optional retainer for new document types.

— Enterprise-grade

Accuracy you can audit and defend.

Document AI fails when it's a black box you can't check. This one shows its work on every field.

— 01 · Provenance on every field

Nothing is a black box.

Each extracted value links back to the exact spot on the source document, with a confidence score and a full audit log — so finance, legal and compliance can trust and defend the output.

— 02 · Your data, your cloud

Sensitive documents never leave.

Deploy in your VPC, sign NDAs and BAAs, and keep every document and extraction inside your infrastructure. Your data never trains third-party models, and we measure accuracy before go-live.

— Frequently asked

The questions ops & finance leaders ask first.

Something missing? Email Prakash directly — same-day replies, no SDR layer.

What document types can it handle?
Contracts, invoices, purchase orders, insurance claims, ID documents, forms and more — printed or scanned, structured or unstructured. We build the extraction schema around your specific document types.
How accurate is it, really?
Typically 95%+ field-level accuracy after tuning, with confidence scores on every field. Anything below your threshold is routed to a human reviewer, so the data that reaches your systems is trustworthy.
Does a human stay in the loop?
Yes, by design. Low-confidence fields are flagged for quick review with the source highlighted, and those corrections feed back to improve the model. High-confidence documents flow straight through.
Can we audit the output?
Every field links to its exact source location with a confidence score and an immutable audit log, so finance, legal and compliance can verify and defend every value.
Is our document data secure?
Yes. We deploy in your cloud or a private VPC, sign NDAs and BAAs, and support SOC 2, HIPAA and GDPR. Documents and extractions never train third-party models.
How long to deploy and how is it priced?
A working pipeline on your documents ships in 3–5 weeks. Pricing is a fixed setup fee plus a monthly platform fee based on volume tier — not per-page billing that penalises scale.
— See it read your documents

Book a demo. Bring a stack of real documents.

A 30-minute session with Prakash or a senior AI engineer — never an SDR. Send a handful of your real documents and we'll show the pipeline extracting them to your schema.

Book a live demo
— Founder will reply personallyPrakash Singh · Matrytech