Tricentis

Tricentis is an agentic quality engineering platform that uses AI to automate software testing across the entire enterprise. Instead of manually writing and maintaining test scripts, teams can now rely on AI agents that create, execute, and manage tests on their own. The platform covers the whole testing lifecycle — from functional and regression testing to performance and quality intelligence — all from a single control plane called the AI Workspace.

The AI Workspace acts as the central hub where QA teams define workflows, set policies, and approve gates for AI-driven testing. The platform includes agentic test automation, test management, performance testing, and quality intelligence modules. Each component uses AI agents to reduce manual effort and speed up delivery. A key differentiator is the ability to orchestrate not just testing agents but also developer agents, enabling end-to-end agentic workflows across the software development lifecycle. This is done through MCPs (Model Context Protocols) and APIs, giving teams flexibility to integrate with existing tools.

Tricentis is built for enterprise organizations that need to maintain high software quality while accelerating releases. QA engineers, developers, and IT operations teams benefit most from the automation of repetitive testing tasks, freeing them to focus on complex scenarios. Real-world use cases include automating regression testing in CI/CD pipelines, running performance tests on new builds, and gaining quality insights from aggregated test data. Leading companies like Wolters Kluwer use Tricentis to drive quality at scale.