Next generation AI-driven test automation technology that allows teams to automate UI test cases independent of the underlying technology.
Tricentis Tosca Vision AI is an enterprise test automation technology that uses AI and machine learning to automate UI test cases independent of the underlying technology, with custom enterprise pricing available via demo request. It is designed for large enterprise QA teams working across complex application stacks including SAP, Oracle, Salesforce, ServiceNow, Snowflake, and Workday environments. Based on our analysis of 870+ AI tools in the aitoolsatlas.ai directory, Vision AI is one of the few solutions that identifies UI controls purely through visual clues such as control type, label name, position, and color, rather than relying on underlying DOM, XPath, or accessibility-layer access.
The platform represents the next evolution beyond script-based and model-based testing, allowing QA teams to shift testing left by building automation from simple mockups or UI descriptions before any code is written. Key capabilities include self-healing tests that reuse automation after major technology upgrades, user-trained control identification for proprietary and custom applications, and stable automation for virtualized/remote environments running on Citrix or VMware. This codeless approach removes the dependency on technical selectors, which is critical for remote desktop apps where traditional automation frameworks fail.
Compared to other testing tools in our directory like Testim (also owned by Tricentis), Selenium, and Katalon Studio, Vision AI is specifically aimed at regulated enterprises running heterogeneous legacy-plus-modern stacks where cross-platform resiliency matters more than low cost. According to the Forrester Total Economic Impact study referenced on the Tricentis website, the broader Tricentis platform has drastically improved testing speed and release timelines for SAP applications, and customers like Fiserv have standardized testing across 3,500 applications using the Tricentis stack, cutting major incidents by 65%. Tricentis was founded in 2007 and is headquartered in Austin, Texas.
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Vision AI identifies UI elements using control type, label, screen position, and color rather than any technical locator. This means tests work identically whether the app is a native Windows client, a modern React web app, or a Citrix-streamed remote desktop â a capability most test tools cannot match.
Vision AI leverages trained neural networks to recognize standard UI control types out of the box across thousands of applications. The AI removes the need for bespoke test customizations and keeps learning as users confirm or correct identifications.
When an application undergoes a major upgrade or re-platform, traditional tests typically require rewriting. Vision AI's self-healing engine re-identifies controls by their visual characteristics so existing automation continues to run, dramatically reducing the maintenance cost that usually dominates test automation budgets.
For proprietary or highly unusual UI elements that aren't part of standard libraries, QA engineers can train Vision AI directly by pointing at the control and labeling it. The AI then treats that custom element as a first-class control across all future tests.
Because recognition is purely visual, tests can be authored against design mockups, wireframes, or a UI description before any code is written. The same tests then carry forward as the real application is built, moving QA involvement to the earliest phase of the SDLC.
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Tricentis announced its Agentic Quality Engineering Platform with a 2025-2026 product release series, adding Agentic Test Creation (context-aware manual testing), Agentic Test Automation (end-to-end test generation), and Agentic Performance Testing alongside the existing Vision AI capabilities. The website page was last modified April 30, 2025 and Tricentis Transform 2026 is the flagship upcoming event.
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