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Humata is a technology company.
Humata provides an artificial intelligence platform designed to transform documents into interactive knowledge bases. The core product functions as an AI agent, enabling users to upload various file types and then ask questions, receive summaries, and extract specific information directly from the content. This allows for rapid analysis, insight generation, and immediate answers by interacting conversationally with large volumes of data, effectively turning static documents into dynamic resources.
The company emerged from the recognition that professionals across various industries spend considerable time sifting through complex documentation. The foundational insight was to leverage advanced AI to accelerate the process of extracting critical information and understanding content, thereby empowering experts to work more efficiently. This focus on speeding up information retrieval and analysis underpins its development, addressing a widespread need for faster data processing.
The platform serves a diverse clientele, including researchers, business professionals, and teams of all sizes, from startups to established public companies. Users leverage Humata to streamline operations, enhance decision-making, and improve reporting speed. The company’s overarching vision is to empower experts by providing sophisticated AI tools that make data more accessible and actionable, fostering environments where insights are rapidly uncovered and applied.
Humata has raised $4.0M across 1 funding round.
Humata has raised $4.0M in total across 1 funding round.
Humata has raised $4.0M in total across 1 funding round.
Humata's investors include 1984 Ventures, 2.12 Angels, Accel, Breakthrough Energy Ventures, Firstminute Capital, Flybridge Capital Partners, Gradient Ventures, M13, Microsoft, Rackhouse Venture Capital, Square Peg Capital, Kevin Colas.
Humata AI is a technology company building an AI-powered platform that summarizes documents, answers questions about uploaded files, and turns vast information into an intelligent knowledge base. It serves teams of all sizes—from startups to public companies and enterprises—solving the problem of buried insights in dense documents like PDFs, technical papers, and reports by enabling instant analysis, citations, and decision-making.[1][2][6]
The product excels in natural language processing for querying files, unlimited uploads with highlighted citations for trust, and features like webpage embeds and team collaboration with enterprise-grade security (e.g., 256-bit encryption). Growth momentum includes a $3.5M seed round led by Google's Gradient Ventures, investments from M13, and strong testimonials from users like HFS Research and UC Irvine, highlighting efficiency boosts in research, education, and reporting.[1][2][6]
Humata AI was co-founded by Cyrus Khajvandi (CEO), a Stanford biology alum and serial entrepreneur (former co-founder of Y Combinator-backed Dnovo, COO of acquired Passfolio with $500M orders, and Mobius Networks with $40M), and Dan Rasmuson (CTO), former co-founder/CTO of $1B-valued Labelbox, Forbes 30 under 30 honoree, and national chess champion.[1][2][5]
The idea emerged from Khajvandi's frustration with staying atop scientific research amid heavy workloads, spotting AI's rising accessibility to extract facts from old, dense files. Early traction built on this need for experts to "read quickly," evolving into a tool used by diverse teams for reporting and insights, with pivotal funding from top VCs signaling market validation.[2][5][6]
(Note: Distinct from Humata Health, a separate healthcare AI firm for prior authorizations.[3])
Humata rides the AI agent and knowledge retrieval wave, capitalizing on generative AI's maturation (post-ChatGPT) to make enterprise data actionable amid exploding document volumes from remote work and digital transformation. Timing is ideal as businesses drown in unstructured data—old files too valuable to discard but too dense to parse—while AI costs drop and models improve NLP/ML for precise, cited answers.[2][4][6]
Market forces like rising demand for productivity tools in reporting, research, and decision-making favor it, especially in sectors needing quick insights (e.g., startups to public cos). Humata influences the ecosystem by empowering non-technical users, fostering AI adoption in education/research (e.g., UC Irvine), and setting standards for secure, embeddable doc AI, potentially accelerating "wiser" teams across industries.[2][6]
Humata is poised for rapid scaling with its seed funding, focusing on enterprise expansions like deeper integrations and custom AI agents for verticals (e.g., finance, legal docs). Trends like multimodal AI (adding image/video analysis) and agentic workflows will amplify its edge, while competition from generalists like Anthropic tools pushes specialization in secure doc intelligence.[4][6]
Its influence may evolve from PDF summarizer to full knowledge platforms, riding AI democratization to transform how experts uncover "lost facts." Back to the core: in a data-flooded world, Humata's mission to "make you wiser" positions it as essential for faster, trusted decisions.[2]
Humata has raised $4.0M across 1 funding round. Most recently, it raised $4.0M Seed in October 2023.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Oct 1, 2023 | $4.0M Seed | 1984 Ventures, 2.12 Angels, Accel, Breakthrough Energy Ventures, Firstminute Capital, Flybridge Capital Partners, Gradient Ventures, M13, Microsoft, Rackhouse Venture Capital, Square Peg Capital, Kevin Colas, ARK Invest, Gradient Ventures |