Galileo

Galileo is an advanced platform designed to evaluate, observe, and protect generative AI (GenAI) applications. It offers a comprehensive suite of tools and metrics to ensure the accuracy, safety, and reliability of AI systems, making it particularly suitable for enterprise use.

Key features:

- Evaluation Foundation Models: Utilizes the Galileo Luna family of models to evaluate GenAI applications with high accuracy and low cost.
- Metrics: Includes adherence, faithfulness, groundedness, and hallucination detection, among others.
- Evaluate®: Provides powerful insights and evaluation metrics to build and iterate on GenAI systems.
- Observe®: Monitors production applications in real-time, offering alerts and insights to debug issues.
- Protect®: Safeguards applications by intercepting prompts and outputs to prevent harmful or malicious content.
- Real-Time Monitoring: Offers real-time alerts for hallucinations and abnormal behavior, with rich insights to quickly pinpoint and debug root causes.
- Security and Compliance: SOC2 Type II compliant with Role-Based Access Controls (RBAC) for enterprise governance and security.
- Integration and Compatibility: Supports integration with various models, frameworks, and stacks, including tools like LlamaIndex and Langchain.
- User-Friendly Interface: Designed for AI engineers, subject matter experts, and annotators, with a Python SDK for direct integration in notebooks and a simple UI for easy testing and feedback.

How it works:

1. Users interact with Galileo through its various modules.
2. In pre-production, the Evaluate® module is used to build and iterate on GenAI systems using evaluation metrics and collaborative tools.
3. In production, the Observe® module monitors applications in real-time, providing alerts and insights.
4. The Protect® module continuously safeguards users and applications by intercepting harmful outputs and protecting against malicious inputs.

Integrations: Content Generation, Semantic Search, Agents and Chatbots, Orchestration Layers (LlamaIndex and Langchain)

Use of AI: Galileo leverages generative AI through its Evaluation Foundation Models, which are fine-tuned on specific enterprise evaluation tasks. These models are used to enhance the accuracy and predictive capabilities of the evaluation metrics.

AI foundation model: Galileo uses models including GPT-3.5 for its evaluation tasks.

Target users:
- AI Engineers
- Subject Matter Experts
- Annotators and Labelers

How to access: Galileo is available as a SaaS cloud-based service, an on-premise solution deployable on a user's own VPC with their data and models, and through Python SDK and RESTful APIs for seamless integration. Enterprise pricing plans are tailored to customer needs, and interested users should contact the Galileo team directly for detailed pricing information.