Design for both people and agents.
People need clear interfaces and interpretable results. Agents need explicit interfaces, context, and execution feedback. Our aim is to enable both to collaborate effectively on the same platform.
Advancing software testing from automation to autonomy.
Testany is building a software testing platform for both human testers and AI testing agents. With test orchestration, execution, and feedback as its foundation, we aim to help people and agents collaborate around shared test assets and quality goals.
We are developing the platform around the needs of both groups: supporting people in test design, result review, and quality decisions, while providing agents with clear task context, callable testing capabilities, and understandable execution feedback. Our goal is for agents to be deeply involved in test planning, execution, analysis, and further verification, reducing the need for people to direct every step.
People need clear interfaces and interpretable results. Agents need explicit interfaces, context, and execution feedback. Our aim is to enable both to collaborate effectively on the same platform.
We focus on how agents can understand verification goals, select tests, organize execution, and use results to determine what to check next, progressively enabling autonomous planning and adaptation.
People define quality goals, authorization boundaries, and rules for critical decisions. Explicit permissions, traceable execution, and human confirmation where needed guide the platform's development.
Enable continuous, trustworthy verification for software built by people and AI.
Through collaboration between people and testing agents, we aim to reduce repetitive work and manual coordination. We want teams to have clear quality feedback and evidence for their decisions as software changes, so they can build and deliver with greater confidence.