AI That Understands Your Test Failures
Automatic categorization, pattern detection, and root cause analysis
How AI Analysis Works
Transparent, explainable AI built for QA teams
Data Collection
We collect test logs, stack traces, screenshots, and execution metadata from all your test runs
Pattern Recognition
Our ML models analyze failures across time, identifying recurring patterns and correlations
Root Cause Analysis
AI determines the most likely root cause and provides actionable recommendations
ML Model Transparency
Our AI models are trained on millions of test executions and continuously improved based on user feedback. We provide confidence scores and explanations for every insight.
Types of AI Insights
Comprehensive analysis across all dimensions of test quality
Failure Categorization
Automatically categorize failures into: Infrastructure, Application, Test Code, Environment, or Flaky
Flaky Test Detection
Identify tests with inconsistent results. Get confidence scores and historical pass/fail patterns
Regression Alerts
Detect when new code breaks previously passing tests. Pinpoint the exact commit or deployment
Performance Degradation
Identify tests that are slowing down over time. Get alerts before they impact CI/CD pipelines
Pattern Anomalies
Discover unusual patterns in test execution. Detect cascading failures and correlated issues
Impact Analysis
Understand the blast radius of failures. See which features, users, or environments are affected
Proven Accuracy
Backed by data from millions of test executions
Correctly identifies the type of failure
Pinpoints the actual cause of failure
Average reduction in debugging time
How We Measure Accuracy
We continuously validate our AI models against human-labeled data and user feedback. Our accuracy metrics are updated in real-time and available on our status page.
Sample Insights
See what AI insights look like in practice
login_with_oauth test is flaky
This test has failed 3 times in the last 10 runs, but only in the CI environment. Likely cause: timing issue with OAuth redirect.
Add explicit wait for OAuth callback or increase timeout threshold
Payment flow broken after deployment #1234
5 payment-related tests started failing immediately after deployment #1234. All failures show 'stripe.confirmPayment is not a function' error.
Stripe SDK version mismatch detected. Rollback to previous version or update test mocks.
Database query tests 40% slower this week
Average execution time for database tests increased from 2.3s to 3.2s over the past week. Correlation with recent database migration.
Check database indexes or optimize recent queries added in migration #456
Start getting AI insights today
No credit card required. Free tier includes basic AI insights.