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
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.
Ask for the current demo and a written list of built features and scoped additions. White-label uses a non-exclusive license on your infrastructure; Matrytech retains reusable base IP.
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.
Pull exactly the fields you need, line items, dates, parties, totals, into structured JSON you define.
Automatically sorts documents by type and routes each to the right workflow or queue.
Summarises long contracts, flags clauses, and compares versions to spot what changed.
Cross-checks totals, dates and references against your systems before anything is trusted.
Low-confidence fields go to a reviewer with the source highlighted, fast to correct, and the model learns.
Every field is traceable to its source with a full audit trail, then pushed to your ERP, DMS or database.
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 · Provider retention and model-training settings are verified for the agreed deployment · Security and regulatory controls scoped before launch
Ingests from anywhere and delivers clean data into the systems of record you already run.
A fixed-scope rollout, we prove accuracy on your real documents before it touches production.
We map your document types, the fields you need, downstream systems and accuracy targets.
We build the extraction schema, OCR pipeline and validation rules, and process a sample set.
Accuracy measured field-by-field against ground truth; review UI and thresholds tuned to your risk.
Phased rollout with dashboards on accuracy and throughput. Optional retainer for new document types.
Document AI fails when it's a black box you can't check. This one shows its work on every field.
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.
Deploy in your VPC, agree the required confidentiality and PHI documents before launch, and keep every document and extraction inside your infrastructure. Provider retention and model-training settings are verified for the agreed deployment, and we measure accuracy before go-live.
Something missing? Email Prakash directly, same-day replies, no SDR layer.
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 →