Humata is an AI document intelligence platform that allows users to upload files—such as PDFs, research papers, reports, and contracts—and interact with them using natural language. It functions as a “chat with your documents” system, enabling users to ask questions, request summaries, and compare information directly from uploaded content.

The platform uses natural language processing and document indexing techniques to understand and retrieve relevant information from files. Once a document is uploaded, Humata processes its content into searchable representations, allowing users to query it as if they were conversing with an assistant familiar with the material. A key feature is its ability to provide cited answers, linking responses back to specific parts of the source document for traceability and verification.

Humata is designed to solve the problem of information overload in long and complex documents. It is especially useful in fields where large volumes of text must be reviewed quickly, such as research, legal analysis, education, and business intelligence. Instead of manually reading entire documents, users can extract key insights instantly through targeted questions.

The platform also supports multi-document workflows, enabling comparisons and synthesis across multiple files. It is offered through a web interface and supports team collaboration features, including secure document handling and role-based access in higher-tier plans.

Key features include:

• Chat-based interaction with PDFs and documents
• AI-generated summaries and question answering
• Citation-backed responses linked to source text
• Multi-document comparison and analysis
• Secure file handling with team collaboration options

Common use cases include:

• Summarizing research papers
• Analyzing legal contracts
• Extracting insights from reports
• Studying academic materials
• Improving productivity when working with large document sets

Humata is developed by Tilda Technologies Inc., an AI software company focused on document intelligence and knowledge automation.