Humata
AI research agents
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$1.99 per month
Free Trial unavailable
Free version
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What is Humata
Humata is an AI-assisted research tool that lets users upload documents (such as PDFs) and ask questions, generate summaries, and extract key points with citations to the source text. It is used by students, analysts, and knowledge workers to speed up reading and synthesis of long documents and reports. The product focuses on interactive Q&A over user-provided files rather than broad web-scale search, with features oriented around document understanding and referencing.
Strong PDF-centric Q&A workflow
Humata is designed around asking questions directly against uploaded documents, which fits research and due-diligence workflows where the source material is known. It supports summarization and targeted extraction from long files, reducing manual skimming. This document-first approach can be more efficient than general-purpose search tools when users already have a corpus to analyze.
Source-grounded responses with citations
The product commonly presents answers with references back to passages in the uploaded document, helping users verify outputs. This is useful for academic and professional settings where traceability matters. Citation-style grounding also supports faster review compared with tools that provide answers without clear linkage to the underlying text.
Useful for rapid synthesis tasks
Humata supports common research operations such as summarizing sections, comparing content across documents, and drafting notes based on the uploaded material. These capabilities align with literature review, policy/contract reading, and internal knowledge-base analysis. It can reduce time spent on first-pass comprehension and note creation.
Limited beyond provided documents
Humata’s value depends on the quality and completeness of the documents users upload. For questions requiring broad market, news, or web coverage, document-only analysis can be insufficient without complementary discovery tools. Users may need separate systems for external search and content acquisition.
Accuracy depends on document parsing
Results can degrade when PDFs have complex layouts, scanned images, tables, or poor text extraction. In those cases, citations may point to imperfectly parsed text or miss relevant sections. Users should validate outputs, especially for numerical or compliance-critical details.
Enterprise controls not fully clear
Compared with more enterprise-oriented research platforms, publicly available information is less explicit about advanced governance features such as granular admin controls, audit logs, data residency options, and formal compliance attestations. This can be a constraint for regulated industries or large deployments. Buyers may need to confirm security, retention, and model/data-handling terms during procurement.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free | $0 per month | Basic features; 60 free pages per month; additional pages: — (no overage price listed). |
| Student | $1.99 per month | Academic rate (requires verified @edu email); 200 free pages per month; additional pages: $0.02 / page. |
| Expert | $9.99 per month | Moderate usage for small professional teams (up to 3 users); 500 free pages per month; additional pages: $0.02 / page. |
| Team | $49 per user / month | Generous usage and tighter security for teams (up to 10 users); 5,000 free pages per month; additional pages: $0.01 / page. |
| Enterprise | Custom / user / month | Personalized service for large organizations; unlimited users; custom page allowances and overage pricing; contact sales. |
Seller details
Humata AI, Inc.
Unsure
Private
https://www.humata.ai/
https://x.com/humata_ai
https://www.linkedin.com/company/humata-ai/
