Docugami develops an artificial intelligence document engineering platform that transforms unstructured documents into structured data using natural language processing and a proprietary Business Document Foundation Model. This technology enables businesses to efficiently extract insights and automate document management, enhancing productivity and compliance without extensive IT investment.
Funding
$13.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Businesses struggle to efficiently extract actionable data from unstructured documents due to the limitations of traditional data extraction models, which often require extensive setup, rigid templates, and IT development. This makes it difficult for business users to directly access and utilize document data for insights, automation, and compliance.
Solution
Docugami offers an AI-powered document engineering platform that transforms unstructured documents into structured data, enabling business users to gain immediate insights and automate document management. The platform leverages a proprietary Business Document Foundation Model, a Large Language Model (LLM) tailored for business documents, to understand and represent the content in a hierarchical data structure. This approach allows for easy assembly of new documents, generation of reports, and integration with line-of-business systems, creating a unified system of record that combines enterprise and document data. By managing the content within documents rather than just the document files, Docugami empowers users to increase productivity, ensure compliance, and unlock valuable business insights without requiring extensive machine learning expertise or IT investment.
Target Audience
Docugami is designed for business users across various industries, including commercial insurance, life sciences, professional services, commercial real estate, and supply chain management, who need to extract data and insights from complex documents.
Features
- AI-powered document analysis that transforms unstructured text and tables into structured information
- Proprietary Business Document Foundation Model for understanding complex, long-form documents
- Automatic creation of a full XML Knowledge Graph representing all information and relationships within each document
- Ability to identify and extract key data points, even with variations in document formats and terminology
- Seamless integration with existing tools and line-of-business systems
- AI-assisted document authoring for improved accuracy, consistency, and productivity
- Secure and private processing, ensuring data is not shared across projects or clients