Openlayer The evaluation workspace for machine learning

What is Openlayer?

Openlayer is a comprehensive evaluation workspace for machine learning. It simplifies the process of testing, evaluating, and observing language learning models, providing real-time alerts to track your model's performance. Its developer-first approach ensures a smooth, 60-second onboarding, and simplifies tracking changes with commit-style versioning. You can secure your data with SOC 2 Type 2 compliant and on-premise hosting options.

Features

Push your workflow with a few lines of code
Automatic testing for your models
Monitor with real-time alerts
Track and compare versions with a commit system
60-second onboarding
Commit-style versioning
Seamless notifications
Secure your data with SOC 2 Type 2 compliant platform

Use Cases

Data scientists
Machine learning engineers
Product managers
CTOs
Domain experts

FAQs

What is Openlayer?

Openlayer is a secure platform designed for evaluating, testing, and monitoring machine learning models. It simplifies the process of understanding your model's performance with features like real-time alerts and commit-style versioning.
How quickly can I start using Openlayer?

Openlayer boasts a user-friendly design that allows for onboarding in just 60 seconds.
How does Openlayer ensure the security of my data?

Openlayer prioritizes data security and offers SOC 2 Type 2 compliant and on-premise hosting options to keep your information safe.
Can I track the performance of my models over time with Openlayer?

Yes, Openlayer allows you to monitor your models with real-time alerts and provides a commit-style versioning system for easy tracking and comparison of changes.
Who benefits from using Openlayer?

Openlayer is beneficial for a variety of professionals, including data scientists, machine learning engineers, product managers, CTOs, and domain experts involved in the machine learning lifecycle.