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Humata is an AI-driven platform designed to enhance the efficiency and accuracy of processing complex research and legal documents by leveraging natural language processing capabilities. According to company-authored content, Humata provides a range of features aimed at streamlining document analysis, including tools that make it easier for professionals to interact with PDFs containing large volumes of data. These tools offer functionalities for summarizing, comparing, and asking questions about documents while providing answers with citations for verification.

Key Features:

• File Integration: Users can upload unlimited documents and ask any number of questions, generating answers from the content within these documents.

• Citations and Verification: The platform highlights citations within documents, allowing users to track where particular insights originate, ensuring reliability in the provided answers.

• Embedded Functionality: Humata's AI can be easily embedded into any webpage, empowering users to access insights directly from their resources.

• Security Protocols: The platform provides enterprise-grade security, including encryption (256-bit SHA at rest and TLS in transit), role-based access, and soon-to-come single sign-on options. The compliance with industry standards like SOC 2 ensures data security.

Pricing Plans:

Humata offers a flexible pricing model catering to different user needs, including:

• Free Plan: Provides access to basic features for up to 60 pages.
• Student Plan: Available at $1.99/month for educational users.
• Expert Plan: Costs $9.99/month, suitable for small teams, offering up to 500 pages.
• Team Plan: Charged at $49 per user, per month, for larger teams, including advanced security and additional features like OCR and personalized responses.

For enterprise requirements, there is a customizable plan offering comprehensive solutions.

API and Integration:

Humata provides an API that enables users to integrate its features into their systems, facilitating document processing through various endpoints. This includes importing documents, starting conversations, and extracting references in real-time through server-sent events.

Target Users:

The platform is primarily targeted at researchers, legal professionals, and corporate entities aiming to reduce the time spent on document analysis and make informed decisions based on AI-generated insights. Industry-specific use cases include:

• Legal Profession: Enhancing contract review, corporate governance, mergers, acquisitions, and intellectual property agreements.
• Research: Quick analysis of scientific papers and business transaction documents.

Security and Data Privacy:

Humata emphasizes data security with robust encryption measures and transparent privacy practices, ensuring user data is safe and unchanged. It employs methods aligned with SOC-2 compliance to safeguard customer data comprehensively.

Company Background:

Humata is co-founded by Cyrus Khajvandi and Dan Rasmuson, and recently secured $3.5 million in funding from notable investors, including Google’s Gradient Ventures. This funding is intended to drive further development and expansion of their AI technology.

Conclusion:

Humata aims to transform document management by providing detailed, AI-guided insights that can foster more timely and precise decision-making for its users. Through advanced AI capabilities like document summarization, query answering, and direct API integrations, Humata seeks to streamline document analysis across various industry sectors.