EigenPal

EigenPal is an AI document automation platform that learns a workflow from examples. It asks users to upload 3 to 5 sample documents, then its AI agent builds the workflow automatically and lets users test and verify results before going live.

The product says it can identify fields, validation rules, and workflow steps from the examples it receives. It is also described as supporting accuracy testing on historical data before deployment, with evaluation metrics used to show what works and where human review is still needed. The page names extraction, validation, and routing as part of its document automation flow. It also says its vision models can process handwritten, scanned, or damaged documents, and that an AI copilot can handle workflow maintenance from natural-language requests such as adding a field, updating validation rules, or handling a new document type. The page includes use cases in finance, insurance, manufacturing, and healthcare, with examples such as bank statements, invoices, contracts, claims, patient records, loan verification, KYC workflows, policy extraction, risk assessment, purchase orders, shipping documentation, and insurance claims.

EigenPal is presented as deployable in AWS, Azure, Google Cloud, and on-premise air-gapped environments. It also says deployment includes enterprise security and compliance, and names SOC 2 Type 2, GDPR, CCPA, and HIPAA in the product material. The page offers a free start and a demo booking option, and it says the platform is backed by Y Combinator. The tool is an AI document automation platform rather than a general-purpose assistant, and it is built around example-based workflow learning and document processing.