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What does it do?

  • Machine Learning Validation
  • AI Model Testing
  • Failure Detection
  • Model Diagnostics
  • Continuous Improvement

How is it used?

  • Use web app or API
  • monitor and test AI models.
  • 1. Access web app
  • 2. Monitor models
  • 3. Track versions
See more

Who is it good for?

  • AI Researchers
  • Machine Learning Engineers
  • Data Scientists
  • Software Developers
  • DevOps Professionals

Details & Features

  • Made By

    Openlayer
  • Released On

    2021-08-27

OpenLayer provides a machine learning validation and testing platform designed to help teams efficiently detect, diagnose, and correct model failures. The platform offers a suite of tools that streamline the evaluation and analysis of AI models, facilitating continuous improvement and safe deployment. OpenLayer leverages generative artificial intelligence to enhance its capabilities, although specific details on the foundation models or LLMs used are not explicitly mentioned. The platform is accessible as a web application and offers an API for integration, making it versatile for various development environments.

Key features of OpenLayer include:

- Monitoring and Alerts: Provides real-time monitoring of AI models with alerts for failures sent via email, Slack, or directly within the OpenLayer app.
- Version Tracking: Tracks changes and versions of models and datasets, allowing users to compare performance across different iterations.
- Error Analysis: Offers tools for systematic error analysis, including data and model quality checks across various cohorts.
- Adversarial Testing: Supports the creation of synthetic data to test models against potential adversarial attacks.
- Performance Benchmarks: Ensures that models meet target performance benchmarks before deployment.
- Integration with Development Environments: Integrates with existing development workflows, treating AI model development akin to traditional software development.

OpenLayer supports integration with popular development and communication tools, such as Slack for receiving real-time alerts and updates, email for direct notifications, and APIs for seamless integration into existing machine learning pipelines and development environments.

While specific details on the generative AI technologies used by OpenLayer are not provided, the platform utilizes advanced AI techniques to simulate edge cases and generate synthetic data, helping to test the robustness of AI models against unusual or unexpected inputs.

OpenLayer is available as a web application and through an API, facilitating easy integration into various software environments and development pipelines. As of the latest updates, specific pricing details have not been disclosed publicly, and interested users are encouraged to contact OpenLayer directly for pricing information. The platform was officially launched in 2021 and has been actively developed and enhanced since then.

OpenLayer is ideal for data scientists, machine learning engineers, and development teams who are involved in building and deploying AI models, particularly for organizations that require rigorous testing and validation of their AI systems to ensure accuracy and reliability before deployment. The platform is developed and maintained as a proprietary software by the company, focusing on providing a reliable and secure environment for AI model testing and validation.

  • Supported ecosystems
    Slack, Slack, Unknown
  • What does it do?
    Machine Learning Validation, AI Model Testing, Failure Detection, Model Diagnostics, Continuous Improvement
  • Who is it good for?
    AI Researchers, Machine Learning Engineers, Data Scientists, Software Developers, DevOps Professionals

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