Description
Affinda offers a production-grade document AI platform designed to automate complex, high-stakes document operations. The platform allows users to describe their documents and workflows in natural language, eliminating the need for lengthy implementation projects. Affinda focuses on delivering decision-ready, structured, and traceable data, rather than just raw extracted text.
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Leveraging frontier AI models, Affinda is built for production environments, incorporating features like reading order, context selection, grounding, and validation to ensure reliable output. It handles a wide variety of documents, including structured and unstructured, scanned and digital, templated and varied, across any format or language. A key differentiator is its ability to learn and improve with every validated document, adapting to evolving document types without requiring months of training or thousands of labeled examples.
Affinda is particularly adept at handling document packs, such as loan files, insurance submissions, and onboarding kits. It can split, classify, extract, validate, and deliver individual components from these messy bundles, outputting structured data from complex inputs. The platform ensures accuracy on real-world documents, including scanned, digital, handwritten, and multi-language variations, reducing errors and the need for manual double-checking.
For enhanced accuracy and governance, Affinda integrates human review for exceptions. Users can configure business rules and data checks, allowing documents that pass to flow through automatically while those that fail are routed to a review queue with the source document for human intervention. The platform's API-first architecture and client libraries for various programming languages allow it to slot into existing tech stacks as a document intelligence layer, without requiring a complete system replacement.
Traceability is a core design principle, with every extracted field linked back to its exact location in the source document, crucial for regulated industries. Affinda is used across various industries, including banking, finance, government, healthcare, insurance, logistics, and manufacturing, for use cases like accounts payable, claims handling, customer onboarding, and loan processing.
- CategoryAI Document & PDF Tools
- DeploymentCloud
- PlatformsWeb
Affinda Intelligent Document Processing's Core Features
Natural language workflow configuration
Decision-ready, validated data extraction
Frontier AI models for production
Handles any document, format, or language
Continuous learning and adaptation
Document pack processing (splitting, classifying, extracting)
Configurable business rules and data checks
Exception-based human review routing
API-first architecture with client libraries
Source document traceability for every field
Supports structured and unstructured documents
Automates invoices, loan packs, claims, and onboarding forms
How to use Affinda Intelligent Document Processing?
Describe your documents: Upload or connect your document sources.
Configure your workflow: Use natural language to define extraction and routing rules.
Process documents: Affinda automatically handles classification, extraction, and validation.
Review exceptions: Failed documents are routed to a queue for human review.
Integrate data: Send validated, structured data to your business systems via API.
Affinda Intelligent Document Processing's Use Cases
- Automate Invoices
- Process Loan Packs
- Review Claims
- Route Onboarding Forms
- Supplier Onboarding
- Asset Finance Processing
- Customer Onboarding & KYC
- Resume Parsing
