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 intake forms, contracts and compliance docs with ease.
Automate invoice entry, claims intake and human resource updates.
Distribute documents to the right delivery teams.
Check accuracy across processed document sets.
Extract SLA and KPI data from client records.
Automate and streamline repetitive tasks to lower processing and operations costs.
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
In the BPO industry, where data accuracy, processing speed and cost efficiency are key determinants of success, artificial intelligence (AI) optical character recognition (OCR) data extractors have a significant role to play. AI OCR technology can scan and extract written or printed text from various document types into structured data within seconds, turning physical documents into easily manageable, searchable and storable data.
This technology can be beneficial for BPO service providers, especially those that manage large volumes of data for multiple clients in a wide array of industries. At the most fundamental level, an AI OCR data extractor streamlines data entry and processing.
Traditionally, BPOs manually key in the data, which is labor-intensive, slow and prone to entry errors. With Affinda's AI-powered OCR data extractor, BPOs can instantly extract data from multiple-sourced documents, bringing a notable increase in speed and accuracy. The reduced margin of error also ensures that clients receive high-quality, reliable data, enhancing their trust and satisfaction.
A prime example can be a BPO handling accounting services for a client. They receive invoices, receipts and financial statements, often in different formats and languages. Using AI OCR technology, these documents can be rapidly digitized and relevant data like totals, dates, invoice numbers etc. can be extracted, making the process much faster and more accurate.