Catch unsafeAI in your pipeline,not in production.
Run 175+ tests in your development workflow and automatically block releases that fail quality, safety, security, or compliance requirements. Keep the same tests running in production.
See testing in action
163.3%
5%
33%
A passing build does not mean safe AI.
Traditional release checks can confirm that code works without determining whether an AI system is accurate, safe, secure, or compliant. Hallucinations, prompt injection, sensitive-data exposure, and unsafe tool use can pass through a healthy build unnoticed.
Governance review is added at the end, forcing teams to reconstruct evidence and resolve issues when the release is already waiting.
Your pipeline can passwhile your AI fails.
AI regressions and unsafe responses do not always throw errors. Without dedicated test gates, they look like normal deployments and remain undetected until they affect a customer, trigger an incident, or appear in production monitoring.
No automated gate to stop unsafe changes.
A release can pass every traditional build check even when AI quality, safety, security, or compliance has regressed.
Testing is disconnected from the developer workflow.
Tests that live outside Git and CI/CD are difficult to run consistently, easy to skip under deadline pressure, and disconnected from the change that produced the result.
Production failures do not become test cases.
Teams patch production incidents without converting the failed interaction into a regression test, allowing the same behavior to return in a future release.
Build governance directly into your pipeline.
Openlayer runs directly in the tools engineers already use, including Git, CLI, REST API, GitHub Actions, Jenkins, and CircleCI. Tests run automatically with every change and block releases that fail required thresholds.
The same tests continue evaluating the system in production. Every result remains connected to the code, system version, policy, and approval it supports, so governance evidence builds automatically with every release.
<1min
from an Openlayer push to a pass or fail verdict
100%
production failures turned into regression tests, automatically
6x
faster deployment after standardizing on Openlayer
A complete testing system for every AI release
175+ out-of-the-box tests
Test quality, safety, security, performance, cost, fairness, and compliance using configurable tests ready to activate across your AI systems.
Safety and security tests
Detect PII and PHI exposure, prompt injection, jailbreaks, unauthorized tool calls, toxic content, and other safety or security failures before deployment.
Git-native CI/CD integration
Run Openlayer automatically with pull requests and builds using GitHub Actions, Jenkins, CircleCI, or the REST API. Block changes when critical tests fail.
Test complete agent workflows
Test single-agent and multi-agent systems built with LangChain, LangGraph, OpenAI Agents SDK, LlamaIndex, CrewAI, Google ADK, and other major frameworks.
“Openlayer fits directly into our pipeline. We block an unsafe deployment in CI the same way we block a failing unit test, except now we are testing AI quality and safety, not just code correctness.”
CTO, Sun Life
Trusted by regulated leaders: Sun Life and Gallagher (insurance); Rogers, KPN, and Comcast (telecom and media).
Jericho Security: 6x deployment frequency and +53% throughput after standardizing on Openlayer.
Backed by Y Combinator and Race Capital. SOC 2 Type II.
Founded by ex-Apple/Siri ML engineers.
Named in the 2026 Gartner Market Guide for AI Evaluation and Observability Platforms.
Endorsed by Guillermo Rauch (Vercel CEO) and Max Mullen (Instacart founder).
