Docugami

Docugami is a Seattle-area document engineering company that applies advanced AI to unstructured and semi-structured information. It enables organizations to create a system of action from their documents, turning data into knowledge graphs for enterprise-scale use. The tool is designed for enterprise and midsize teams that need to automate actions from document data and integrate with existing workflows.

The company presents its system as one that learns file patterns quickly, with no manual labeling or extensive training, and emphasizes security and control, including SOC 2 and GDPR compliance.

It separates itself from OCR and traditional IDP by creating a hierarchical knowledge graph of documents, enabling reasoning, querying, extraction, and automation to drive business processes.

Industries and use cases are highlighted, including commercial real estate, commercial insurance, and life sciences, with emphasis on tailoring document AI to sector-specific workflows and enabling faster decision-making.

Use cases

• Insurance professionals extract policy data, analyze risk, and streamline submissions and compliance.
• Real estate teams automate data flow from leases and purchases and support faster deal flow.
• Life sciences teams structure clinical trial data for faster reporting and compliance.