Tricentis is a global leader in agentic quality engineering.
The Tricentis Agentic Quality Engineering Platform leverages the power of AI and decades of Tricentis technology and expertise to provide a new and fundamentally different way to ensure software quality across large and complex enterprise application environments. An approach thatโs totally automated, fully codeless, and intelligently driven by AI. It addresses both agile development and complex enterprise apps, enabling enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality.
Widely credited for reinventing software testing for DevOps, cloud, and enterprise applications, Tricentis has been recognized as a leader by all major industry analysts, including Forrester, Gartner, and IDC. Tricentis has more than 3,000 customers, including some of the globeโs most respected brands such as Experian, T-Mobile, Jaguar Land Rover, Allianz, Telstra, Dolby, and VodafoneZiggo.
Cypress is a quality testing platform that brings together the open-source Cypress App tool and the Cypress Cloud platform, supporting the entire testing lifecycle. With a focus on catching regressions early and before code hits production, Cypress maximizes the ROI of test creation and maintenance, helping deliver high-quality code swiftly to customers.
Developers and QA Engineers start by writing end-to-end and component tests in the open source Cypress App. After running tests in CI, teams integrate Cypress Cloud to help manage, optimize, and debug those tests at scale. Cypress Cloud then takes it a step further by analyzing each step of every test, by transforming a single Cypress test into a comprehensive source of quantifiable insights, so that organizations can track changes to application quality over time.
Experience the power of Cypress and redefine the way you build, test, and deliver exceptional applications.
QASource gives you "๐๐ผ๐ป๐ณ๐ถ๐ฑ๐ฒ๐ป๐ฐ๐ฒ ๐ถ๐ป ๐ช๐ต๐ฎ๐ ๐ฌ๐ผ๐ ๐ฆ๐ต๐ถ๐ฝ," whether your software was written by people, generated by AI, or the AI itself is the product. Your quality function, built and run by QASource, is measured on release confidence.
๐ข๐๐ฟ ๐๐ผ๐บ๐บ๐ถ๐๐บ๐ฒ๐ป๐๐:
โข ๐ช๐ฒ ๐๐ฟ๐ฒ ๐๐ฐ๐ฐ๐ผ๐๐ป๐๐ฎ๐ฏ๐น๐ฒ ๐ณ๐ผ๐ฟ ๐ฅ๐ฒ๐น๐ฒ๐ฎ๐๐ฒ ๐๐ผ๐ป๐ณ๐ถ๐ฑ๐ฒ๐ป๐ฐ๐ฒ, ๐ก๐ผ๐ ๐๐ผ๐๐ฟ๐: Every engagement has a named engineering director and an agreed definition of what "safe to release" means for your product. That is what we report against.
โข ๐๐๐ฒ๐ฟ๐๐๐ต๐ถ๐ป๐ด ๐ช๐ฒ ๐๐๐ถ๐น๐ฑ ๐๐ ๐ฌ๐ผ๐๐ฟ๐: Automation, harnesses, datasets, and documentation are committed to your repositories in your stack. If you leave, you keep all of it, and it keeps running.
โข ๐ฉ๐ฎ๐น๐ถ๐ฑ๐ฎ๐๐ถ๐ผ๐ป ๐๐ถ๐๐ฒ๐ ๐ถ๐ป ๐ฌ๐ผ๐๐ฟ ๐ฃ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ: We integrate with your CI/CD, your branching model, and your release cadence. We don't wait for builds; the pipeline calls us.
โข ๐ฆ๐ฐ๐ผ๐ฝ๐ฒ ๐๐ผ๐น๐น๐ผ๐๐ ๐๐ต๐ฎ๐ป๐ด๐ฒ ๐ฉ๐ผ๐น๐๐บ๐ฒ: Engagements are sized to the amount and risk of change you produce. When your developers ship twice as much, the model scales; it doesn't ask you to hire twice as many testers.
โข ๐๐๐ถ๐ฑ๐ฒ๐ป๐ฐ๐ฒ, ๐ถ๐ป ๐ช๐ฟ๐ถ๐๐ถ๐ป๐ด: Release candidates get a written finding. AI systems get an assurance finding. Both say what was validated, what wasn't, and what the residual risk is.
๐๐ฏ๐ผ๐๐ ๐ค๐๐ฆ๐ผ๐๐ฟ๐ฐ๐ฒ:
QASource was founded in Pleasanton in 2002 to give engineering leaders confidence in what they ship. We have done that through waterfall, agile, DevOps, cloud, and now AI-assisted development. You get the same people for years, not a rotating bench. Every conversation starts with an engineering director. A proposal within two business days of that conversation.
โข ๐ฎ๐ฌ๐ฌ+ clients served. More than ๐ฒ๐ฌ ๐๐ผ๐ฑ๐ฎ๐, including around a fifth of Fortune 500 companies.
โข ๐ฐ.๐ด/๐ฑ across 18 independent reviews on Clutch
โข ๐ต๐ฐ% customer retention
โข ~๐ฐ๐ฌ% of new clients arrive by referral