Smarter Testing, Faster Releases, Lower Cloud & Engineering Costs
Modern software companies rely on tests to catch bugs early—but running every test wastes time and cloud costs. TestLab uses machine learning to find most bugs while reducing their cost significantly.
Built for teams that demand speed & reliability
Our cutting-edge machine learning predicts exactly which tests to run—skipping those that always pass—while detecting most bugs:
- Efficient shift-left testing: Detect bugs early with test runs optimized for each stage—feature, merge queue, or main branch.
- Up to 95% fewer tests: Reduce cloud costs by 5-20x without lowering quality.
- Skip flaky tests: Detect and skip unreliable tests to avoid blocking pull requests.
- Faster time to market: Stop waiting for unrelated tests to fail. Start delivering more features.
Cut cloud cost by up to 20x
By enabling test selection at different stages of development, you can maintain the same bug detection rate as running all tests—without the inefficiencies. Early stages, like pull requests, can tolerate a slight reduction in detection confidence while reducing the number of tests by up to 20x.
Later stages, such as the merge queue or main branch, operate with higher confidence thresholds to catch any bugs that may have slipped through earlier. This ensures efficient testing and reliable releases.
Waiting for CI runs?
Continuous integration (CI) pipelines for pull requests often run multiple times due to feedback or code adjustments before merging. TestLab skips unnecessary tests in these cycles, saving time and resources while keeping engineers focused on delivering code—not waiting for pipelines.
Blocked by flaky tests?
Frustrated by unreliable tests blocking code merges? Stop manually re-running CI builds until they pass. TestLab identifies and skips flaky tests automatically, ensuring your team stays productive and your pipelines run smoothly.