While product demonstrations often steal the spotlight, much of software development is actually centered on tasks such as debugging, quality assurance, and testing. These essential but often overlooked activities ensure software functions properly, and as developers seek to automate more of their responsibilities, artificial intelligence is increasingly taking on these roles.
On Monday, Momentic, an AI-powered testing company, announced it had secured $15 million in Series A funding led by Standard Capital, with Dropbox Ventures also joining the round. Previous backers including Y Combinator, FCVC, Transpose Platform, and Karman Ventures participated as well. This latest investment follows a $3.7 million seed round that the company revealed in March.
Momentic develops solutions for software testing and validation, an area where open-source tools like Playwright and Selenium currently dominate. Although these frameworks offer detailed and powerful controls, Momentic aims to leverage AI to streamline and enhance the testing process.
“Our platform helps clients ensure their products function as intended,” said co-founder Wei-Wei Wu. “Users can outline their most important workflows in everyday language, and our AI will handle the automation.”
Both Wu and his co-founder Jeff An have extensive experience in developer tools, having worked at companies such as Qualtrics and WeWork. (Wu is especially proud of his work on the open-source Node.js project.)
According to Wu, the ongoing challenge across all these organizations was verifying code. “Testing has consistently been the toughest issue for every team I’ve collaborated with,” Wu shared with TechCrunch.
Momentic’s AI-based strategy has already attracted a significant user base. The company now serves 2,600 users, including well-known names like Notion, Xero, Bilt, Webflow, and Retool. Wu declined to share specific revenue or profit numbers, but noted that the company’s growth has been strong enough to secure investor confidence.
Automating tests not only simplifies large-scale execution but also enables a volume of testing that was previously unattainable. Wu estimates that over the past month, Momentic’s platform has automated upwards of 200 million test steps.
The most formidable rival for Momentic might be the foundational AI models themselves. Both OpenAI and Anthropic now offer guides on agentic testing, utilizing their models’ expanding capabilities to interact with computers. As these models become more advanced, the market opportunity for SaaS companies like Momentic could diminish.
At present, Wu is concentrating on expanding the product’s features with the newly acquired capital. The company introduced support for mobile platforms in August and plans to enhance test-case management as it brings more engineers onboard.
Wu believes that as automated coding becomes more prevalent, there will be a surge in new applications—and a corresponding increase in demand for solutions like Momentic’s. “Every one of these apps needs thorough testing,” he said. “They prioritize quality, and we’re here to deliver it.”
