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  1. Home
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  3. Humata AI
Humata AI logo

Humata AI

Humata AI Transforms Document Processing with AI-Powered OCR and Personalized Responses

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Humata AI has developed an innovative platform that combines advanced AI technology with robust security features for document processing and management. By leveraging OCR technology and AI-driven personalized response generation, the company has created a powerful suite of tools for teams to work more efficiently with documents. This comprehensive overview examines the technical capabilities, pricing structure, and security framework of Humata AI, exploring how the company has created a flexible platform that balances powerful functionality with strong data protection standards.

Company Overview and Key Features

Humata AI specializes in AI-powered document processing with features including OCR technology for document reading, personalized response generation based on document content, and team collaboration tools. The company offers a comprehensive suite of security features, including SOC-2 compliance, 256-bit SHA encryption for data at rest, and TLS 1.3 protocol for data in transit. Humata's security framework emphasizes privacy by design and implements least privilege access control, with single sign-on capabilities through Okta, Google, or SAML integrations.

Users can work with unlimited documents through the platform's PDF AI capabilities, which summarize findings, compare documents, and search for answers faster than manual reading. Each document upload generates personalized responses that cite relevant sections, with support for rewriting summaries until the user is satisfied. The platform's technical foundation includes a robust API system that generates 200 tokens per request, with customization options for rate limiting. Pricing structures offer flexibility across multiple tiers: the free plan allows 60 pages and 10 answers monthly, while the student plan starts at $1.99 per month with 200 free pages and $0.02 per additional page. The expert plan costs $9.99 per month with 500 free pages and $0.02 per additional page, offering three user licenses. The team plan charges $49 per user per month with 5,000 free pages and $0.01 per additional page, supporting up to 10 users. Enterprise pricing is available for larger teams exceeding 10 users.

Pricing and Plans

The company offers four primary plans: Free, Student, Expert, and Team, with flexible pay-as-you-go options based on usage metrics like pages accessed and questions asked per month. The free plan provides basic features with 60 free pages and 10 answers monthly. The student plan, priced at $1.99 per month, includes 200 free pages and charges $0.02 per additional page. The expert plan costs $9.99 per month, offering 500 free pages and $0.02 per additional page with support for three user licenses. The team plan charges $49 per user per month for 5,000 free pages and $0.01 per additional page, supporting up to 10 users. For larger teams exceeding 10 users, the company offers customized enterprise pricing arrangements.

All subscription plans include basic features and provide access to the latest technology, including support for GPT 4.0. The platform's pay-as-you-go pricing structure allows users to scale their usage based on specific needs, with the option to cancel service at any time without penalty. Humata uses Stripe for secure invoicing and payment processing, maintaining best practices for data security throughout the transaction process. The company's subscription management capabilities enable users to adjust their plans easily as their needs change, while maintaining strict security standards for data protection.

Technical Integration and API

The Humata API enables seamless integration with third-party applications, supporting both authentication and rate limiting functionality. The API generates 200 tokens per request and allows for customization of rate limits to accommodate varying usage needs.

Integration with applications occurs through standard HTTP requests, as demonstrated in this example code snippet:

javascript const response = await fetch('https://app.humata.ai/api/v1/users/token', { method: 'POST', headers: { "Content-Type": "application/json" }, body: JSON.stringify({ "email": "john@doe.com" }), }); const data = await response.json();

The API employs OAuth identity providers and Multi-Factor Authentication (MFA) for secure user authentication, providing robust security at all points of interaction. Humata enhances security further through end-to-end encryption with AES-256 for data at rest and TLS 1.3 for data in transit. All connections utilize HTTPS over Cloudflare and Google Cloud for additional security layers.

The platform strictly limits personal credit card information retention, with all payment processing handled through Stripe, a PCI Service Provider Level 1 certified processor. This comprehensive security framework, supported by SOC 2, ISO 27001, and GDPR compliance, ensures that data remains protected throughout its lifecycle while enabling flexible integration with other applications and systems. ## Security Measures Humata implements comprehensive security measures through multiple layers of protection. The company's security framework is thoroughly audited by Kobalt.io, ensuring regular security reviews and updates.

At the core of Humata's security architecture is multi-factor authentication (MFA), which is integrated with OAuth identity providers for secure user authentication. The platform employs end-to-end encryption with AES-256 for data stored at rest, while all data in transit is protected by TLS 1.3 protocol. Connections utilize HTTPS over Cloudflare and Google Cloud to enhance security further.

The company strictly limits the retention of personal credit card information, handling all payment processing through Stripe, a certified PCI Service Provider Level 1 processor. Humata maintains SOC-2 compliance across all vendors and implements a comprehensive privacy by design framework.

The security policy encompasses a wide range of protective measures and governance standards, including HIPAA Privacy and Security Policies, corporate information security policies, and disaster recovery plans. The company follows best practices in data protection and maintains strict access control policies for system and physical security.

Humata adheres to rigorous data protection standards, with all uploaded documents retained for only 30 days before deletion. The platform employs Amazon Web Services (AWS) and Google Cloud Platform (GCP) for data storage, supplemented by Supabase solutions. All access to sensitive information, including access tokens and keys, is encrypted at the application level to ensure confidentiality.

## Data Handling and Retention All uploaded documents are retained for 30 days before deletion, during which time they undergo comprehensive encryption using Amazon Web Services (AWS) and Google Cloud Platform (GCP). Access to sensitive information, including access tokens and keys, is encrypted at the application level to ensure confidentiality. Humata implements a robust asset management policy that controls access based on least privilege principles, ensuring that users have only the permissions necessary for their assigned tasks. This policy is supported by comprehensive governance and risk management frameworks that adhere to industry standards, including the Standards of Business for the US Government Marketplace and established Vendor Management Policies. The company follows best practices in data classification, maintaining clear guidelines for handling both structured and unstructured data elements. All personal credit card information is securely managed by Stripe, a certified PCI Service Provider Level 1 processor, with no sensitive data retained by Humata beyond the initial charge authorization. Humata's retention policies are designed to balance operational needs with regulatory requirements, ensuring that all data is accurately stored while remaining protected from unauthorized access or exposure. Users have control over their data through the platform's dashboard, where all stored information is retained until explicitly deleted by the user, providing an additional layer of security and transparency.

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