Release Guardian AI
The AI-powered CI/CD Safety Layer for LLM applications. Detect regressions before deployment, generate intelligent evaluations, verify fixes, and ship every release with confidence.
99.9%
Regression Detection
<2 min
Evaluation Time
10K+
AI Test Cases
24/7
Continuous Validation
Everything you need before every release
Release Guardian AI continuously evaluates your LLM application, catches regressions, and ensures every deployment is safe.
AI Test Generation
Automatically generate comprehensive evaluation test cases covering quality, safety, and security.
Regression Detection
Identify potential regressions and issues before they impact production deployments.
AI Recommendations
Receive AI-powered prompt improvements and actionable recommendations instantly.
Release Verification
Verify improvements and deploy only after your release passes every validation.
Every Release Goes ThroughA Complete AI Validation Pipeline
Before deployment, every prompt, model, and workflow change is automatically validated using intelligent AI evaluations to detect regressions, safety issues, hallucinations, and policy violations.
Step 1
Reading Configuration
Loading release settings, prompts, models, and workflow configuration.
Step 2
Generating Test Cases
Creating AI-powered evaluation scenarios for safety, reasoning, and hallucination detection.
Step 3
Running Evaluation
Executing hundreds of automated validation tests across multiple categories.
Step 4
Analyzing Regressions
Comparing the new release against the baseline to identify quality regressions.
Step 5
Generating Recommendations
Producing improved prompts and actionable recommendations to fix detected issues.
Step 6
Verifying Release
Running a final verification to ensure the release is safe for deployment.
99.9%
Regression Detection Accuracy
< 2 min
Average Evaluation Time
10,000+
AI Test Cases Generated
24/7
Continuous Monitoring
Ready to Validate YourNext AI Release?
Generate AI-powered evaluations, detect regressions, analyze results, and verify every release before deployment.