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Galini
Ensure your AI applications comply with your company policies, industry standards and regulations

Galini
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Home: https://www.galini.ai

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What is Galini?

Galini offers a specialized platform for implementing and managing compliance guardrails within AI applications. It empowers organizations to ensure their AI systems consistently adhere to internal company policies, specific industry standards, and overarching regulatory frameworks. This focus on compliance helps businesses build and maintain trust in their AI technologies by promoting responsible and ethical AI deployment.

The system provides access to an extensive library of over 100 pre-built guardrails, which can be customized, or users can opt to create their own from scratch. Galini facilitates the orchestration of these guardrails using a drag-and-drop interface, allows for the configuration of ideal dialog flows, and supports policy testing in a sandbox environment. Furthermore, it includes real-time monitoring capabilities to track the usage, latency, cost, and effectiveness of the implemented guardrails, enabling continuous optimization of AI application performance and compliance posture.

Features

  • Guardrail Library Access: Leverage a comprehensive library with 100+ guardrails or build custom ones.
  • Guardrail Orchestration: Drag-and-drop the right guardrails for your application.
  • Dialog Flow Configuration & Testing: Configure your ideal dialog flow to control customer experience and test outputs in a sandbox.
  • Real-time Performance Monitoring: Understand and optimize AI application performance by monitoring usage, latency, cost and effectiveness of guardrails in one place.
  • Policy Customization: Add project context and customize your guardrails to specific needs.

Use Cases

  • Ensuring AI application compliance for enterprises.
  • Building trust into AI applications for AI providers.
  • Managing AI governance and risk for organizations using AI.
  • Streamlining adherence to industry standards and regulations for AI systems.

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