Openlayer

What is Openlayer?

Openlayer is a platform that helps developers and data scientists keep their machine learning models reliable in production. It provides automatic testing, real-time monitoring, version control, and secure data storage. Models connect to Openlayer with a small amount of code, after which each version is continuously tested for data quality, performance, and drift (changes in a model’s behavior over time). Instant alerts via Slack or email notify you when something goes wrong or the system goes down.

What is Openlayer used for?

Openlayer serves anyone building or maintaining machine learning systems:

• Test-driven development: Analyze the quality of your ML data and build models against tests.
• Continuous testing: Run ongoing checks on data quality, performance, and drift for every model version.
• Version tracking: Track and compare models, datasets, and prompts using a commit-style versioning system.
• Proactive alerts: Receive real-time notifications for issues or downtime, catching errors before they affect end users.
• Secure data handling: The platform is SOC 2 Type 2 compliant, with an on-premise hosting option available.
• Community support: Connect with other developers and teams on Discord to get help and improve your AI products.

Key features

• Automatic testing for machine learning models
• Real-time monitoring of model behavior
• Commit-style version control for models, datasets, and prompts
• Secure data storage (SOC 2 Type 2 compliant, on-premise option)
• Instant alerts via Slack or email
• Simple integration with a small amount of code

Summary

Openlayer is an AI evaluation platform for keeping machine learning models dependable. It combines automated testing, monitoring, version control, and secure storage so teams can catch problems early, compare versions, and maintain model quality over time.