Introducing Tricentis Labs

AI is reshaping how software gets built and tested faster than most QA teams can keep pace, yet teams rarely get to influence what a vendor ships before the decision is made. That's why we created Tricentis Labs. Tricentis Labs is where agentic-AI ideas are built in public, giving quality engineering teams early access to experiments and a say in which ones become real products.

In this announcement, Ryan Yackel and David Colwell walk through how Labs works and the first three experiments open to customers and partners today.

Key highlights:

• Build-in-Public Model: Sign up for Tricentis Labs to get early access to experiments and help Tricentis shape which ones ship.
• Agentic Exploratory Testing: Unleash an exploratory testing agent after an agentic code change to find the usability, visual, and copy defects functional tests miss.
• Testing and Evaluating AI Agents: Score whether AI-driven software is ready to release when model swaps make pass/fail testing break down.
• Release Risk Intelligence and Readiness: Pull defect rates, test results, and user feedback into one view on release risk.

Learn more: https://bit.ly/3Tj5Otg
Request access: https://bit.ly/4Ar3vFf