Docugami

Transform Documents into Actionable Data

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Description

Docugami introduces Document Engineering, utilizing its proprietary Business Document Foundation Model, a Large Language Model (LLM) specifically designed for Generative AI applications on business documents. This technology allows business users to transform entire documents, even highly variable ones with unstructured text and tables, into structured, actionable data from day one. It aims to bypass the traditional complexities associated with machine learning model training, extensive staff training, or significant IT development investments.

The platform delivers immediate impact without lengthy setup processes, rigid templates, or the need to replace existing systems. Docugami creates a hierarchical data representation of each document's content, enabling users to easily assemble new documents, generate reports and insights, power line-of-business systems, and establish a unified system of record combining enterprise and document data. It seamlessly connects with familiar tools, offering AI-assisted document authoring to improve accuracy, consistency, and productivity across various industries.

Key Features

Proprietary Business Document Foundation Model: Utilizes a specialized LLM for Generative AI on business documents.
Document Engineering Approach: Empowers business users with immediate impact and minimal setup.
Small Data Compatibility: Works effectively with as few as 5 documents.
Long-Form Document Handling: Processes complex, lengthy documents across various industries.
Structured Data Conversion: Represents unstructured text and tables in formats usable by computer systems.
AI-Assisted Document Authoring: Improves accuracy, consistency, and productivity in document creation.
System Integration: Connects with familiar tools and line-of-business systems.
Hierarchical Data Representation: Creates a detailed structural map of document content.

Use Cases

Analyze supplier and distribution agreements for risk, pricing, and obligations in Supply Chain.
Extract, transform, and generate policies, certificates, quotes, and loss runs in Commercial Insurance.
Review MSAs and SOWs for deliverables, pricing, liabilities, and legal risk in Professional Services.
Identify price variations, renewal deadlines, and tax issues across Commercial Real Estate portfolios.
Extract information from regulatory and research documentation in Life Sciences.
Unlock data within unique business documents to enhance productivity, compliance, and insight.