Openlayer
Enterprise platform for AI evaluation, testing, monitoring, and governance.
About
Openlayer is an evaluation workspace for machine learning and LLM applications that helps teams test, monitor, and govern AI systems from development to production. Founded by former Apple machine learning engineers, it offers 100+ customizable tests, version comparisons, and real-time observability to catch regressions, data drift, and fairness issues before they reach users.
The platform uses commit-style versioning for models and datasets, integrates with SDKs, CLI tools, and CI/CD pipelines, and supports both traditional ML and generative AI. Openlayer raised $14.5M in May 2025 and counts Fortune 500 companies among its users. Enterprise positioning means pricing is quote-based and the self-serve story is thinner than developer-first alternatives.
What it can do
- 100+ customizable AI tests
- Commit-style model and dataset versioning
- Real-time production monitoring
- Data drift and fairness detection
- CI/CD pipeline integration
Setup
Create an account on the Openlayer platform and connect models via SDK or API.
Prerequisites
ML models or LLM applications to evaluate; Python SDK familiarity for integration.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 84; Trending score 80/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.