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High Tech Seed Founded 2018

Docugami

Docugami develops an agentic AI system of action that transforms unstructured business documents into structured, actionable data using patented document AI technology. The platform automatically turns entire documents into Knowledge Graphs of actionable data at enterprise scale, enabling business users to initiate and repeat critical actions from data locked in thousands of documents. Unlike traditional tools that…

📍 Kirkland, United States · Generative AI,

Funding snapshot

Last roundSeed
Amount$1M
Date7 April 2025
Total raised$12M
Team size28

About

Docugami develops an agentic AI system of action that transforms unstructured business documents into structured, actionable data using patented document AI technology. The platform automatically turns entire documents into Knowledge Graphs of actionable data at enterprise scale, enabling business users to initiate and repeat critical actions from data locked in thousands of documents. Unlike traditional tools that extract only pre-defined data fields, Docugami transforms complex documents in their entirety, learning and reasoning across scattered information to synthesize contextual intelligence. The platform supports contracts, ACORD forms, invoices, clinical trial documents, HR documents, and property records, serving industries including commercial insurance, life sciences, IT services, professional services, commercial real estate, supply chain, and technology. Docugami offers no-code interfaces for non-technical users with total data ownership and no vendor lock-in. Founded in 2018 and headquartered in Kirkland, Washington, the company has raised $11.7M in seed funding from investors including SignalFire, Next World Capital, Grammarly, and the National Science Foundation.

Business model

Business Intelligence > Unstructured Data Analytics > Text Analytics > Internal > Document Search,

Big Data Analytics > Data Discovery & Visualization > Discovery > Document Search,

Enterprise Information Management > Enterprise Content Management > Document Management,

Digital Transaction Management > Document Management > Data Extraction

Team background

Company Wise > Microsoft,

College Wise > Carnegie Mellon University

Institutional investors

SignalFire Next World Capital Grammarly National Science Foundation America’s Seed Fund Tom Reardon Ellen Levy Sarah Imbach Sunil Chhaya Hank Vigil Marc Jalabert Greg Badros Shishir Mehrotra Kevin Reigelsberger Alan Smith

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