Unlock the True Potential of AI-Driven QA Automation
Discover why ongoing metrics tracking for AI powered software testing is critical to improve software quality. Also it ultimately reduces costs and overhead for fast-paced engineering teams.
Why Market Metrics Matter
QA teams face complex challenges that affect testing speed, cost, and reliability. Our customer metrics tracking is designed to address these critical issues with AI-powered solutions.
Unified, Fully Autonomous QA
QA relies heavily on manual testing or a mish-mash of tools, consuming too much human bandwidth.
Modern AI-Driven Testing
Old frameworks like Cypress and Selenium are outdated; migrating to Playwright is complex and painful.
QA That Moves at Engineering Speed
Young, fast-growing dev teams require new, cutting-edge testing solutions to keep up.
Purpose-Built for AI-Native Products
Generative AI companies need modern AI testing tools to match their rapid development cycles.
Quality That Pays for Itself
Companies with fragile, manual tests still lose $300k–$1M+ per hour of downtime.
Important Software QA Metrics
Measuring the true performance of AI-driven QA automation.
Production Failures on Manual vs Checksum AI Maintained Rate Comparison
Across all customers we measured failures at the test run level, separately for suites that use Checksum and suites that do not.
Why automation breaks
Looking at 18,000 randomly sampled failures, we tagged each one by primary cause. Multiple things may be wrong in a single run, but we assign the category based on what needed to change for the test to pass again.
What maintenance actually costs
Once you know how often tests fail, why they fail, and how long fixes take, you can calculate the true cost of test maintenance.
Real-world Numbers
from customers
Experience measurable impact with AI-powered QA automation — faster test creation, easier maintenance, and dramatically lower costs, all backed by real customer data from leading engineering teams.
> 80%
cost reduction in QA processes
80%
reduction in time to write tests
10h
developer time saved per issue
80%
reduction in time to maintain tests
90%+
resilience to product changes
Calculate Your Time & Cost Savings by Using AI-Powered Test Auto-healing
Enter your number of automated tests. We’ll estimate how much time your team saves when AI maintains them instead of manual fixes.
Results
Failure rate per test run (average across all types)
Hourly cost ($)
Investigation & fix time per failure (hours)
Cost per failure ($)
Total investigation and fix cost per test run
AI Powered Auto-healing Savings (~90%)
