What EigenPal does
EigenPal is an AI document automation platform for enterprises. Rather than requiring custom code or lengthy integration projects, it learns directly from example documents: users upload a handful of sample files, and the system identifies the relevant fields, extraction patterns and validation rules needed to build an automated processing workflow.
Key capabilities
The platform reads handwritten, scanned and damaged documents using vision models, and lets teams test workflows against historical data with accuracy metrics before putting them into production. An AI copilot allows non-developers to update and maintain workflows through natural language. EigenPal can be deployed across AWS, Azure, GCP or on-premise, and the company states it is SOC 2, GDPR and CCPA compliant, with HIPAA-aligned handling for healthcare data.
Who it's for
EigenPal is aimed at enterprise back-office and operations teams that process high volumes of documents, including finance (bank statements, loan verification, KYC), insurance (claims and policy extraction), manufacturing (invoices, purchase orders, shipping) and healthcare. It is a fit for organizations replacing manual data entry with reviewable, automated extraction. EigenPal is backed by Y Combinator.