Prism reads the documents that break ordinary OCR - messy PDFs, scanned forms, contracts, statements - and returns clean, structured data with a confidence score on every field.Layout-aware, model-flexible and governed.
Most of the information your business runs on still arrives as a document. The tooling that reads those documents was built for a tidier world than the one your inbox actually receives.
Zonal OCR and rules assume a fixed layout. One new vendor, one redesigned form, one supplier who moved the total to the other side of the page - and extraction silently starts returning the wrong thing.
Skew, stamps, handwriting, tables nested inside tables, a phone photo taken at an angle. Character recognition on its own can read letters but not structure, and certainly not meaning.
People are slower, more expensive and less consistent than anyone likes to admit. And when a keyed figure turns out to be wrong, there is no trail showing how it got there.
Prism combines OCR, vision-language models and LLM reasoning into one pipeline - so it works on the structure of a page and the meaning of what's on it, not just the pixels.
PDFs, scans, phone photos, forms, contracts, statements, spreadsheets - printed or handwritten. If a person can read it, Prism is built to read it too.
Tables, nested fields, multi-column pages and repeating line items come out with their structure intact - rows tied to the right columns, totals tied to the right table.
Point a mixed stream at Prism and it sorts each document by type - invoice, claim, contract, ID - and sends each to the extraction logic built for it. No pre-sorting by hand.
You define the fields you need. Prism returns them in exactly that shape - the same keys, the same types - ready to drop straight into your ERP, database or downstream agent.
Line items should sum to the subtotal. Dates should be real. A policy number should match a pattern. Prism checks the business rules before anything leaves the pipeline.
Every field carries a confidence score. Whatever clears your threshold flows straight through; whatever doesn't goes to a person - never pushed downstream on a guess.
The extraction starts on its own as you reach it - watch the page get read and the fields land, each with its own confidence and its routing decision. Switch document types any time. This is an illustration of the output shape, not a live model call.
Every document type is a different extraction path underneath - same clean output on top.
The same pipeline runs whether one document arrives or ten thousand - and you decide, at every gate, how much a human sees.
Documents arrive from email, upload, an API call or a watched folder - any format, no pre-processing required.
Prism identifies each document's type and splits multi-doc files, then picks the right extraction path for each.
Layout-aware models - OCR, vision and LLM together - pull fields, tables and line items with their structure.
Format checks, cross-field maths and your business rules run automatically against every extracted value.
Anything below your confidence threshold lands in a human queue, pre-filled, with the source page beside it.
Clean, structured data flows to your ERP, CRM, data platform or the next agent in the workflow.
Prism isn't a single model - it's an orchestration. Cheap, fast tools handle the easy fields; heavier reasoning is spent only where it earns its keep. Governance wraps the whole thing.
Deployed inside your cloud and your security perimeter - data doesn't have to leave to be understood.
The difference between a demo and a system you can run your close on is what happens to the fields the model isn't sure about. Prism scores every one and routes accordingly.
High-confidence fields flow to your systems automatically - no one has to look at them.
The blurred IBAN is pre-filled and sent to a reviewer with the source page - one field, not the whole document.
The pattern behind Prism is already live in client environments. One example we can talk about:
A finance team was matching supplier invoices against purchase orders by hand - slow, and easy to get wrong. We put an adaptive-OCR-plus-LLM pipeline into production that reads each invoice, extracts the line items, and matches them against the PO automatically. Manual verification and the errors that came with it both dropped, and the finance workflow moved noticeably faster.
The teams we work with put the same capability to work on claims intake, contract and clause extraction, KYC and onboarding documents, statement and expense processing, and compliance paperwork. Different documents, different rules - one pipeline underneath, configured to each.
Wherever a regulated process depends on paperwork arriving, being read correctly and being defensible later - that's Prism's home ground.
Invoice-to-PO matching, statement extraction, expense processing, remittance advice - straight into the ledger.
Claims intake and first notice of loss, policy documents, ACORD forms, loss runs - read, validated and routed.
Intake and clinical forms, prior authorisation, explanation-of-benefits and claims - with an audit trail on every field.
Spec sheets, certificates of compliance, supplier documents and bills of material - turned into structured records.
Party, term, renewal and liability extraction, clause and obligation tracking, renewal-date capture - across whole portfolios.
Application packs, ID verification, income and bank statements - extracted, cross-checked and onboarding-ready.
Plenty of tools can pull text off a page. Fewer are built so you'd stake a regulated process on the result. That gap is the whole point of Prism.
Prism is configured to your documents and your schema - not a generic template library you have to bend your process around.
Guardrails, field-level audit trails and evaluation gates come standard, through our Sentinel governance framework - not bolted on later.
OCR, vision-language models and LLMs including Claude. We use the right tool for each field rather than forcing one blunt instrument across the page.
You set the confidence bar. People review the genuine edge cases; the machine handles the overwhelming majority that are obvious.
Runs on Databricks, AWS, Azure or GCP - inside your security perimeter, honouring your data-residency rules.
Every extracted value traces back to its spot on the source document, carrying its confidence and its lineage with it.
Two kinds of reusable IP: the tooling we build and govern with, and the solutions that drop straight into a use case. Prism is one of the latter - and everything on the left is already underneath it.
Prism is a solution you drop into a use case. Forge runs the workflows it feeds, Blocks supplies the agent patterns underneath, and Sentinel governs every field it extracts.
Prism is built for regulated work. ISO/IEC 27001-certified delivery, governance aligned to the EU AI Act and NIST AI RMF, an audit trail on every field, and data that never has to leave your environment. The result is a document pipeline you can defend - to your risk team, your regulator and your board.
How we govern AI →Best-of-breed models and platforms, assembled into one pipeline - chosen for accuracy and cost per field, not for a logo on a slide.
The exact stack is chosen per engagement - Prism is model-agnostic by design, so it can adopt a better model the day one arrives.
Send us three of your hardest documents. On a 30-minute call we'll show you exactly what Prism extracts - fields, tables, confidence, review routing and all - from your real paperwork, not a demo.
ISO/IEC 27001-certified · Governed by design · Deploys in your cloud