Product demos often steal the spotlight in tech, but the real backbone of software development lies in less glamorous tasks like debugging, quality assurance, and testing. These essential processes ensure software functions reliably, and as developers increasingly turn to AI to automate repetitive workflows, tools like Momentic are stepping into the spotlight. On Monday, Momentic, an AI-powered software testing startup, announced it has raised $15 million in a Series A round led by Standard Capital, with additional participation from Dropbox Ventures. Existing investors—including Y Combinator, FCVC, Transpose Platform, and Karman Ventures—also contributed to the round. This follows a $3.7 million seed funding announcement earlier this year. Momentic specializes in automating software testing and verification, a space traditionally dominated by open-source frameworks such as Playwright and Selenium. While these tools offer powerful, granular control, they often require significant technical expertise to use effectively. Momentic aims to simplify the process by leveraging AI, enabling developers to describe critical user workflows in plain English, which the system then translates into automated tests. Co-founder Wei-Wei Wu emphasized the company’s mission: “We help our customers make sure their product works.” With a background in developer tooling at companies like Qualtrics and WeWork, Wu has seen firsthand how testing remains a persistent bottleneck across engineering teams. “Testing has been the biggest pain point for every team I’ve ever worked with,” he told TechCrunch. His co-founder, Jeff An, shares a similar history in developer infrastructure. Wu is especially proud of his contributions to the open-source Node.js project. Together, they built Momentic around the idea that AI could democratize high-quality testing, making it accessible even to smaller teams without dedicated QA engineers. The company has already gained traction, serving 2,600 users across clients including Notion, Xero, Bilt, Webflow, and Retool. While Wu declined to disclose specific revenue or profitability figures, he noted strong growth momentum that has attracted investor confidence. One of Momentic’s key advantages is scalability. Automated testing enables teams to run vastly more test cases than manual or traditional scripted approaches allow. In just the past month, the platform automated over 200 million test steps—highlighting its ability to handle complex, large-scale verification tasks. However, Momentic faces growing competition from foundational AI models themselves. OpenAI and Anthropic have begun offering tutorials on agentic testing, where their large language models autonomously perform test tasks. As these models become more capable, the need for specialized SaaS tools like Momentic may diminish. For now, Wu is focused on expanding the product. The company launched mobile testing support in August and plans to enhance its test-case management features as it hires more engineers. He believes the rise of AI-driven development will lead to a surge in new applications—each of which will require rigorous, automated testing. “All of these apps need testing,” he said. “They care about quality, and we’re going to provide it for them.”