Sofy offers AI‑powered testing agents that automatically generate, run, and repair regression tests from plain‑English descriptions. The platform supports mobile, web, API, and enterprise applications, integrating with CI/CD pipelines to continuously update tests and reduce maintenance effort, delivering faster regression cycles and lower QA costs.
Funding
$7.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

3OFounders
Product
Problem
Software teams spend significant time writing, maintaining, and executing regression tests across multiple platforms, leading to high QA costs and delayed releases. Manual test creation also creates a bottleneck in user acceptance testing and makes test suites fragile as applications evolve.
Solution
Sofy provides AI-powered testing agents that automatically generate, run, and repair regression tests based on plain‑English descriptions of what to verify. The agents analyze the application’s UI and API surfaces to create comprehensive test coverage without requiring any scripting or setup. Tests are executed on each release, and the system continuously updates them to keep pace with UI changes, reducing maintenance effort. By automating the entire test lifecycle, Sofy accelerates regression cycles, lowers the burden on QA teams, and helps keep release pipelines stable.
Target Audience
Primary customers are engineering and QA teams in software companies that need scalable, low‑maintenance regression testing for web, mobile, and API products.
Features
- Natural‑language test authoring: describe scenarios in plain English and the AI builds the test automatically
- Cross‑platform support for mobile, web, API, and enterprise applications
- Automatic UI pattern discovery and test generation without manual scripting
- Continuous test maintenance that detects and fixes broken tests as the product evolves
- Integration with existing CI/CD pipelines for on‑every‑release execution
- Metrics showing 60% reduction in UAT effort, 70‑80% lower test maintenance, and 5‑10× faster regression cycles