Openlayer

OpenLayer is an AI-driven platform that provides comprehensive machine learning validation and testing capabilities. It enables teams to efficiently detect, diagnose, and rectify model failures, ensuring the safe deployment and continuous improvement of AI systems.

Key features:
- Monitoring and Alerts: Real-time monitoring of AI models with failure notifications via email, Slack, or the OpenLayer app.
- Version Tracking: Change and version tracking for models and datasets, allowing performance comparisons across iterations.
- Error Analysis: Systematic error analysis tools, including data and model quality checks across various cohorts.
- Adversarial Testing: Creation of synthetic data to test models against potential adversarial attacks.
- Performance Benchmarks: Verification that models meet target performance benchmarks before deployment.
- Development Environment Integration: Seamless integration with existing development workflows, treating AI model development similarly to traditional software development.

How it works:
1. Users integrate OpenLayer into their existing machine learning pipelines.
2. The platform monitors model performance in real-time.
3. When issues are detected, alerts are sent through configured channels.
4. Users can analyze errors, track versions, and conduct adversarial testing.
5. Models are verified against performance benchmarks before deployment.

Integrations:
Slack, Email, APIs

Use of AI:
OpenLayer utilizes advanced AI techniques to simulate edge cases and generate synthetic data, enhancing the robustness testing of AI models against unusual or unexpected inputs.

Target users:
- Data scientists
- Machine learning engineers
- Development teams involved in building and deploying AI models
- Organizations requiring rigorous testing and validation of AI systems

How to access:
OpenLayer is available as a web application and through an API, allowing for easy integration into various software environments and development pipelines.

Software availability:
The platform is developed and maintained as proprietary software, focusing on providing a secure environment for AI model testing and validation.