Product demos get a lot of attention, but software development often includes debugging, quality assurance, testing, and more. This is a tedious but important task to keep software running properly, and it’s increasingly being done by AI as developers look to automate more workloads.
On Monday, AI testing startup Momentic announced it has raised $15 million in a Series A round led by Standard Capital with participation from Dropbox Ventures. Existing investors from Y Combinator, FCVC, Transpose Platform, and Karman Ventures also participated in the round. The new funding builds on a $3.7 million seed round the company announced in March.
Momentic creates tools for software testing and validation, a niche currently occupied by open source frameworks like Playwright and Selenium. While these tools offer complex, fine-grained control, Momentic is looking to AI to make the process simple and effective.
“We help our customers make sure their products work,” co-founder Weiwei Wu said. “If you can describe your important user flows in plain English, our AI will automate it for you.”
Wu and co-founder Jeff An both have backgrounds in developer tools at companies like Qualtrics and WeWork. (Wu is particularly proud of his contributions to open source Node.js.)
As Wu saw it, the most constant thing for all these companies was the issue of code validation. “Testing has been the biggest pain point for every team I’ve ever worked with,” Wu told TechCrunch.
Momentic’s AI-driven approach has already attracted many clients. The company currently boasts 2,600 users across its customer base, which includes companies such as Notion, Xero, Bilt, Webflow, and Retool. Wu was cautious about sales and profitability numbers, but said the product is showing enough growth to convince investors.
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In particular, automating tests makes it much easier to run tests at scale, potentially increasing the total volume to previously impossible levels. Wu estimates that the company has automated more than 200 million test steps in the last month.
The company’s biggest competition may be the base model itself. Both OpenAI and Anthropic offer tutorials on agent testing based on the increasing computational capabilities of their models. As these models become more sophisticated, the opportunities for enterprise SaaS companies like Momentic may narrow.
For now, Wu is focused on using the new funding to flesh out the product. The company started supporting mobile environments in August, and hopes to build out more sophisticated test case management once a few more engineers join.
In Wu’s view, the rise of automated coding will lead to many new apps and further demand for products like his. “All of these apps need testing,” he said. “They value quality, and we deliver that for them.”
