Product demos get all the attention, but software development more often involves things like debugging, quality assurance, and testing. It’s the dull but critical work that keeps software running the way it should, and as developers look to automate more of their workloads, it’s increasingly being done by AI.
On Monday, the AI testing startup Momentic said it had raised $15 million in a Series A round led by Standard Capital, with participation from Dropbox Ventures. Existing investors at Y Combinator, FCVC, Transpose Platform, and Karman Ventures also participated in the round. The new funding builds on a $3.7 million seed round, which the company announced in March.
Momentic makes tools for software testing and verification, a niche currently occupied by open source frameworks like Playwright and Selenium. Those tools offer complex, fine-grained controls, but Momentic is counting on AI to make the process simple and effective.
“We help our customers make sure their product works,” co-founder Wei-Wei Wu said. “They can describe their critical user flows in plain English and our AI will automate it.”
Wu and his co-founder Jeff An both have backgrounds in developer tooling at companies like Qualtrics and WeWork. (Wu is particularly proud of his contributions to the open source Node.js.)
The biggest constant for all those companies, as Wu saw it, was the problem of verifying code. “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 won over a number of clients. The company currently boasts 2,600 users across its customer base, which includes companies like Notion, Xero, Bilt, Webflow, and Retool. Wu was coy about revenue and profitability figures, but says the product has shown enough growth to convince investors.
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Notably, automating tests makes them much easier to perform at scale, and has the potential to drive up the total volume to levels that would previously have been impossible. Wu estimates that, in the last month, the company automated more than 200 million test steps.
The company’s biggest competitor may be the foundation models themselves. Both OpenAI and Anthropic offer tutorials on agentic testing, building on their models’ growing computer use capabilities. As those models grow more sophisticated, the opportunity for enterprise SaaS companies like Momentic could narrow.
For now, Wu is focused on fleshing out his product with the new funding. The company launched support for mobile environments in August, and is hoping to build more sophisticated test-case management once it has a few more engineers on board.
As Wu sees it, the rise of automated coding will produce a lot of new apps — and a lot more demand for products like his. “All of these apps need testing,” he said. “They care about quality, and we’re going to provide it for them.”
