How Humata Turned Mountains of Documents Into Instant, Cited Answers

Your team can't read it all

Research teams, analysts, and students were drowning in long technical papers, reports, and contracts. Finding one answer meant hours of reading and searching.

General chatbots were not built for files. They could not reliably answer from a specific document, and they rarely showed where an answer came from, which made the results hard to trust.

Teams also needed security. Sensitive documents had to stay private, with control over who could see and question each file.

Retrieval-Augmented Document AI With Citations

Impleko AI helped build Humata's document understanding and extraction pipeline. The system now handles:

• Uploading unlimited files and asking unlimited questions across all of them at once.
• Summarizing findings, comparing documents, and rewriting summaries until the user is satisfied.
• Answers with highlighted citations that link back to the exact passage in the source file.
• OCR for images and scanned text, plus an embeddable widget that puts
  document Q&A; on any webpage.
• Team data rooms with role-based permissions, department and folder level access, and encryption at rest, plus a public API.

Pricing scales with usage, from a free tier to team plans billed per page, so
individuals and enterprises can start small and grow.

Faster research, answers you can trust

Humata changed how teams work with their knowledge.

• Millions of experts use Humata to get through documents faster.
• Every answer is traceable to its source, which builds trust in research and analysis.
• Humata secured $3.5M in funding led by Google's Gradient Ventures.
• Customers include research firms like HFS Research and educators at institutions such as UC Irvine.

What used to take hours of reading now takes a single question.