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Last Updated on January 24, 2024 by Ivan Cocherga

Visit Website is an enterprise-focused platform that aims to securely connect internal data sources with large language models (LLMs) such as Azure OpenAI. It ensures that the connection and data usage adhere strictly to company policies and security standards. The platform was founded by Jack Fischer and Ravin Thambapillai, and it’s designed to integrate enterprises’ data with AI in a secure and compliant manner.


  1. Security and Compliance: emphasizes on secure connections, automatically enforcing access policies, and masking sensitive data to ensure compliance with internal and external regulations.
  2. Ease of Integration: It offers a well-documented API and claims to provide easy integration within weeks. It connects to major data sources and is compatible with other AI providers like OpenAI and Anthropic.
  3. Developer-Friendly: is designed to be developer-friendly, providing secure APIs and chatbots that enable employees to safely use data with AI in their normal workflows.
  4. Enterprise-Focused: Tailored for enterprise use, addresses the specific needs for large-scale operations, including data governance and management.


  1. Complexity for Smaller Operations: While being enterprise-focused is a strength, it might also mean that the platform is less suited for smaller businesses or those that do not require such extensive data integration and security features.
  2. Dependency on External Data Policies: While enforces security and compliance, the effectiveness also depends on the existing data policies and infrastructure of the enterprise.
Alternative Tool  RealFake

Use Cases:

  1. Secure Data Integration: Enterprises can connect their internal data securely to AI models for advanced analytics and insights.
  2. Automated Compliance: Automatically enforces access policies and masks sensitive data, making it suitable for industries with strict regulatory requirements.
  3. Data-Driven Decision Making: By securely integrating data with AI models, enterprises can leverage AI for making informed business decisions.

As for the pricing, the details were not explicitly mentioned in the available sources. Typically, platforms like offer custom pricing based on the specific needs and scale of the enterprise. It’s advisable to contact directly for the most accurate and tailored pricing information.

Ivan Cocherga

With a profound passion for the confluence of technology and human potential, Ivan has dedicated over a decade to evaluating and understanding the world of AI-driven tools. Connect with Ivan on LinkedIn and Twitter (X) for the latest on AI trends and tool insights.

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