In performance testing, AI’s confidence can be your team’s undoing

AI writes fast; agentic performance testing validates faster, stopping hidden risks before they block release.

TRIMEDX used Tricentis Tosca and NeoLoad to reduce critical bugs by 50%, improve test execution, and ensure compliance across healthcare systems with faster, more reliable releases.

NeoLoad 2026.1 brings a more unified and modern NeoLoad Web experience across deployment models, offers cloud capabilities with enhanced security features for teams with strict network requirements, and strengthens governance for how Virtual User Hours (VUH) are managed across complex organizations.

Explore key takeaways from the Tricentis Agentic Quality Engineering Platform launch, including AI agents, AI Workspace, and how teams scale quality in the age of AI.

AI is generating code faster than enterprises can validate it. The Tricentis Agentic Quality Engineering Platform unifies AI agents, governance, and enterprise context to help teams automate testing, reduce risk, and release high-quality software at AI speed.

Tricentis NeoLoad introduces Agentic Performance Testing and AI Chat, enabling autonomous performance workflows that reduce analysis time by up to 95% and embed AI-driven intelligence across the performance lifecycle.

NeoLoad introduced breakthrough innovations in 2025 — from built-in AI analysis to MCP and RealBrowser Core Web Vitals. In 2026, it’s going even further with a performance agent, reverse communication agent, and expanded SAP integration to make performance testing smarter and faster than ever.

Discover how LTIMindtree powered global enterprises with Tricentis to deliver speed, stability, and AI-led quality engineering at scale.

At Oracle AI World, UL Solutions and Emerson shared how they streamlined Oracle testing with Tricentis Tosca and NeoLoad. One reduced weekly testing time by 75%, and the other optimized 17,000 test cases across global deployments—delivering faster, more reliable releases.