Openlayer

What it does

Openlayer is a powerful testing and observability platform for ML, designed for enterprises. It enables collaboration on finding and debugging issues in models and data, and committing new versions. Openlayer provides unified AI evaluation, observability, and governance across the AI lifecycle, from ML to LLMs. It supports testing, monitoring, and governing AI systems, ensuring a smooth transition from prototype to production through ongoing testing. Openlayer integrates with Git, offers SDKs, and works with various LLM providers, customizable via CLI and REST API.

How to use: Openlayer can be used to test, monitor, and govern AI systems. It integrates with your existing workflow through Git, SDKs, and REST APIs. You can create tests, monitor production requests, trace system requests in real-time, annotate requests with feedback, and collaborate with your team in a shared workspace.

Core features

• ✦AI evaluation
• ✦Observability
• ✦AI governance
• ✦Testing and monitoring
• ✦Collaboration
• ✦Integration with Git, SDKs, and REST APIs

Use cases

• →Test AI systems from ML to LLMs
• →Monitor production requests in real-time
• →Debug issues in models and data
• →Ensure AI compliance and governance
• →Improve model performance through error analysis
• →Streamline evaluation and analysis of models