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.
Process ID cards, passports and licenses with ease.
Check and compare utility bills and bank statements.
Capture onboarding data from digital or scanned forms.
Extract and feed data into sanctions and watchlist checks.
Aggregate KYC data for customer risk profiles.
Flag updated documents for periodic KYC refresh.
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
Artificial intelligence (AI) optical character recognition (OCR) plays a transformational role in customer onboarding and know-your-customer (KYC) processes. The technology aids in the automation of data extraction from critical identity documents such as passports, ID cards or utility bills, streamlining the customer onboarding process.
There are several benefits to using an AI-powered OCR data extractor for these processes. First, AI OCR technology reduces manual data entry, significantly saving time and reducing the potential for errors. Second, it helps provide a better customer experience by speeding up the onboarding process. Third, it streamlines operations by integrating with existing processes, making it easy to use and adopt.
For example, a bank might use an AI OCR data extractor during the customer onboarding process. When a new customer opens an account they usually need to provide several documents such as proof of ID, income and others.
Traditionally, employees would manually input this data into the system, requiring significant time and potentially leading to errors. However, by using Affinda's AI-powered OCR data extractor, the bank could automatically collect and analyze this information in minutes. The AI OCR system would scan the documents, extract the relevant information and populate the necessary fields in the bank's database, thereby reducing manual efforts, increasing efficiency and minimizing errors.