Combine the best of artificial and human intelligence
accuracy in data and information extraction
years of IP combined with the latest AI innovations
documents processed
languages supported, empowering customers globally

Upload a claims document and the Affinda Platform will predict the fields you need – like claimant details, policy number, incident date, totals and line items – so you can automate claims document processing in just a few clicks.

The platform checks extracted claims data against your business rules and transforms it into a format your claims management system expects. That way, it’s ready for workflows like coverage checks, reserving, routing and settlement.

Use natural language to write validation rules that match your claims workflows, for example: flag missing fields; check policy numbers match correct formats; validate that document dates are within ranges; check financial consistency, such as line items summing correctly to totals.
Create integrations fast, even if you’re not a developer. Choose from 2800+ business systems and describe how you want your claims document processing integration to work, using natural language. Our AI Integrations Agent will generate the code to make it happen.
Easily connect Affinda Platform to your claims stack using our client libraries and APIs. Automatically generate type-safe Pydantic models or TypeScript interfaces tailored to your claims documents, so extracted fields map cleanly into your workflows.
Review payslips, bank statements and tax returns to confirm an applicant's income and financial stability.
Examine credit reports, financial statements and asset statements to determine creditworthiness.
Check IDs, utility bills and proof-of-address documents to comply with Know Your Customer (KYC) and anti-money laundering (AML) regulations.
Handle and verify details from settlement packs to ensure accurate and timely finalization of loans.
Analyze property deeds, appraisal reports, and settlement packs to assess the value and legitimacy of collateral assets.
Review and prepare legal documents such as promissory notes, closing disclosure documents, lease agreements, and purchase agreements to finalize and secure loans.
With a free trial, discover how easy it is to extract any information from any document, fast.

Affinda has removed the laborious workload from our accounts staff, who now focus on quality assurance and management of any outliers.
- Nathaniel Barrs, CTO, PSC Insurance
reduction in manual work
more invoices processed with no added staff
Enhanced auditability and tracking of invoice approvals

Customer satisfaction is always our top priority, and Affinda has helped us achieve that by eliminating phone calls, manual handling, and delays.
- Jorg Both, Head of Business Systems, Northline
proof of delivery documents processed annually
of documents straight-through processed in the first weeks
Automatic validation of documents against ERP system

Affinda's ongoing improvements in its AI models demonstrate its innovative approach in Document AI.
– Michael Zhao, AI Product Manager, SEEK

Affinda’s support and expertise were invaluable… The experience working with Affinda was excellent.
- Nick Tran, Business Analyst, StateCover Mutual
documents processed annually
different document types
Enhanced auditability and tracking of invoice approvals

The results have spoken for themselves. I recommend Affinda to anyone looking to enhance their product or business with AI capability.
- Steve O’Keeffe, CTO, Felix
reduction in manual data input
reduction in compliance data errors
compliance documents processed annually
accuracy in data and information extraction
years of IP combined with the latest AI innovations
documents processed
languages supported, empowering customers globally
Affinda’s AI-powered document platform automates lending workflows by rapidly extracting and analyzing key data from diverse financial documents – including loan applications, contracts, bank statements, payslips and more. It automatically splits and classifies document bundles, accurately captures critical data points and formats the output for downstream systems. This improves data quality, reduces manual effort, shortens processing times and supports data-driven lending decisions.
As an example, a lender could use Affinda’s AI agents to manage a loan application package containing loan forms, payslips, tax returns and proof of address. The system splits the bundle, identifies each document, extracts key borrower details and income data, and presents the structured output for automatic validation. This speeds up application reviews, minimizes manual errors and enables faster, more accurate lending decisions.