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Verdict

A quick read before you dig into the full page.

Best if
You are mL engineers and need: Test AI systems from ML to LLMs
Skip if
You need a free plan with no credit card
Pick this when
Openlayer is an AI testing and observability platform for ML models and data

Overview

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.

Openlayer screenshot

Best for

Short scenarios where Openlayer tends to shine.

  • Test AI systems from ML to LLMs

    Best for ML engineers

  • Monitor production requests in real-time

    Best for Data scientists

  • Debug issues in models and data

    Best for AI developers

  • Ensure AI compliance and governance

    Best for MLOps engineers

  • Improve model performance through error analysis

    Best for AI governance teams

  • Streamline evaluation and analysis of models

    Best for DevOps engineers

Example outputs 1

Sample generations and before/after results for Openlayer.

Openlayer screenshot
Openlayer screenshot

Access & connections

Where you can use Openlayer.

Platforms

CLI

API

Public API available

Browse other tools with an API

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

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

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In the news

Launch coverage and community mentions for Openlayer.

FAQ 6

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.
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.
What is Openlayer?
Openlayer is a testing and observability platform for ML that helps teams collaborate on finding issues in models and data, debugging them, and committing new versions.
What are the key features of Openlayer?
Key features include AI evaluation, observability, AI governance, testing and monitoring, collaboration, and integration with Git, SDKs, and REST APIs.
How does Openlayer help with AI compliance?
Openlayer provides tools for AI compliance and governance, helping organizations test, monitor, and govern AI systems to meet regulatory requirements.
What integrations does Openlayer support?
Openlayer integrates with Git, has SDKs in various programming languages, and works with every LLM provider. It is fully customizable via a CLI and REST API.
Openlayer
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