Checksum is now a Google Partner
・
Checksum AI and Google Cloud: End-to-End Testing AI Innovation
Checksum is now a Google Partner
・
Checksum AI and Google Cloud: End-to-End Testing AI Innovation
Checksum is now
a Google Cloud Partner
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.
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.
Modern AI-Driven Testing
Old frameworks like Cypress and Selenium are outdated; migrating to Playwright is complex and painful.
Quality That Pays for Itself
Companies with fragile, manual tests still lose $300k–$1M+ per hour of downtime.
Teams without adaptive AI testing still ship bugs that cost 5-10× more when found in production.
Organizations running outdated QA add to the $2.41T annual loss from poor software quality.
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.
AI maintained (Checksum metrics)
Manual/legacy
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 each fix takes, you can accurately 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
10h
developer time saved per issue
80%
reduction in time
to write tests
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
From the Checksum.ai Blog
Discover how leading engineering teams are transforming software testing with AI. Explore benchmarks, best practices, and thought-leadership content from our experts.
Ready to Ship Faster
and More Confidently?
If you want to quickly find out where your app is buggy,
book a demo with Checksum.
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.
Teams without adaptive AI testing still ship bugs that cost 5-10× more when found in production.
Organizations running outdated QA add to the $2.41T annual loss from poor software quality.
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.
AI maintained (Checksum metrics)
Manual/legacy
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
10h
developer time saved
per issue
80%
reduction in time
to write tests
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
From the Checksum.ai Blog
Discover how leading engineering teams are transforming software testing with AI. Explore benchmarks, best practices, and thought-leadership content from our experts.
Ready to measure your
QA automation?
Take the next step toward smarter, faster QA processes.
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.
Teams without adaptive AI testing still ship bugs that cost 5-10× more when found in production.
Organizations running outdated QA add to the $2.41T annual loss from poor software quality.
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.
AI maintained (Checksum metrics)
Manual/legacy
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 each fix takes, you can accurately 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
10h
developer time saved per issue
80%
reduction in time
to write tests
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
From the
Checksum.ai Blog
Discover how leading engineering teams are transforming software testing with AI. Explore benchmarks, best practices, and thought-leadership content from our experts.
Ready to
measure your
QA automation?
Take the next step toward smarter, faster QA processes.