Petal
AI-powered document analysis and research platform for high-integrity academic and professional workflows.
The AI-driven document workspace for high-speed technical research and verifiable data extraction.
Humata is a sophisticated Retrieval-Augmented Generation (RAG) platform optimized for deep-dive document analysis. By utilizing vector embeddings and proprietary semantic indexing, Humata allows users to query massive datasets of PDFs and receive answers mapped directly to source citations. In the 2026 market, Humata distinguishes itself through its low-latency indexing engine and high-fidelity OCR, which can process complex tables and mathematical formulas found in technical whitepapers and legal contracts. The architecture is designed for data-sensitive environments, offering isolated data silos and encrypted storage. Its primary value proposition lies in 'verifiable intelligence'—the ability to eliminate LLM hallucinations by forcing the model to provide clickable page-level references for every claim. As enterprises move toward decentralized knowledge bases, Humata serves as the connective tissue between static document repositories and actionable insights, supporting high-throughput batch processing for legal discovery and financial audits.
Automatic side-by-side view that scrolls to the exact paragraph cited by the AI.
AI-powered document analysis and research platform for high-integrity academic and professional workflows.
Turn your document libraries into a queryable, high-fidelity knowledge base.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Ability to query across thousands of files simultaneously using global vector search.
Deep learning-based optical character recognition for scanned legacy PDFs.
Search by meaning rather than keywords using dense vector representation.
Converts unstructured PDF tables into structured CSV/JSON formats.
Shared indexing and knowledge management for organizational units.
Custom data retention policies and encryption at rest/transit.
Sifting through thousands of contract pages to find indemnity clauses.
Registry Updated:2/7/2026
Synthesizing information from 50 medical research papers for a literature review.
Verifying quarterly earnings reports against raw data files.