Openlayer
Openlayer is a platform for designing and evaluating machine learning models.
Score
60
User Rating
1.0
Free/Trial Support
Supported
Starting Price
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Last Updated
Aug 14, 2026
Overview
What is Openlayer?
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.
What is Openlayer used for?
Tags
Top Features
- AI evaluation
- Observability
- AI governance
- Testing and monitoring
- Collaboration
- Integration with Git, SDKs, and REST APIs
How to use Openlayer?
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.
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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
Openlayer Pricing
Free PlanSubscription Plan
No detailed pricing information available
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