Software test automation has long promised speed and reliability, but in practice teams spend enormous effort maintaining brittle test scripts that break whenever the application's UI or workflow changes. Functionize, founded in 2015, set out to fix this by applying machine learning and, increasingly, agentic AI to the entire testing lifecycle. The platform lets teams generate test cases intelligently, execute them across browsers and environments, and, most importantly, automatically heal tests when the underlying application changes.
Functionize's self-maintaining tests are its signature capability. Using AI models that understand the intent behind a test rather than just brittle selectors, the platform adapts to UI changes, dynamic content, and shifting workflows, dramatically reducing false failures and the manual rework that consumes QA teams. The company reports that customers ran over a billion agentic AI actions on the platform in a single year, achieving roughly 10x productivity gains and reducing test-maintenance costs by up to 90 percent.
The platform is built for enterprise scale and the demands of regulated industries such as banking and financial services, where release velocity must be balanced against rigorous quality and compliance requirements. By turning QA from a bottleneck into an accelerator, Functionize helps large organizations ship software faster without sacrificing confidence.
Functionize has raised more than $67 million in total funding since its founding, including a $41 million Series B in 2025 led by Mumford Investments and LHH Investments, with participation from Canvas Ventures and Wipro Ventures. The company is using the capital to advance its agentic automation capabilities, scale infrastructure and go-to-market teams, expand into new markets, and deepen integrations with leading development and CI/CD platforms. As AI-generated code increases the volume of software needing validation, Functionize is betting that AI-driven testing is the only way to keep up.