Documents in. Trusted data out.
Extract the fields you need from invoices, policies, contracts and forms, to your own schema. Every value comes with a confidence score and a highlight on the page it came from, so reviewers can check it in seconds.
Define, extract, review, connect
Define
Describe the fields you need as a schema for each document type.
Extract
One or several AI models read the document. A judge model reconciles their answers when they disagree.
Review
Click a value to see it highlighted on the page. Low-confidence fields are flagged for a person to check.
Connect
Send results to your systems over the REST API, or let AI agents call it through MCP.
More than OCR
Confidence per field
Know which values to trust and which need a second look.
Source highlighting
Every extracted value is located on the original page.
Validation and compliance
Check extracted data against your rules and policies, then decide the next step.
Chat with documents
Ask questions about a document or a whole policy library, with answers linked to sources.
Compare documents
See what changed between versions or between two transactions.
Built for agents
An MCP server and REST API let your AI agents extract, search and validate on their own.
Your documents, your models
Invoices, insurance policies, contracts, claims, onboarding forms and more. Choose the AI models per client and document type, and track token usage per client.
Send us a sample
Share a few representative documents and the fields you need. We'll show you the extraction, side by side with the source.