Momentic just locked in a sharp $15M Series A, and the timing feels like someone finally turned the house lights on in a room where developers have been stumbling around for years. Code generation keeps getting faster thanks to AI, but testing has been dragging its feet like it still pays rent in 2014. Now Wei-Wei Wu and Jeff An step in with a platform that turns that lag into vapor. Standard Capital led the round, and when Paul Buchheit, Dalton Caldwell, and Bryan Berg decide a team is onto something, it usually means the ground is about to shift. Dropbox Ventures joined the party, backed by returning believers like Y Combinator, FCVC, Transpose Platform, and Karman Ventures, which is a signal that the market is waking up to the scale of the problem Momentic is solving.
Wei-Wei Wu and Jeff An built something that feels like the moment an engineer flips a switch on a system you didn’t realize you were missing, but instantly changes the entire operating environment. Momentic lets teams describe workflows in plain English and turns those words into fully autonomous E2E tests that execute millions of steps without blinking. The platform adapts when the UI changes, hunts down bugs with machine precision, and runs with parallel firepower that makes 10,000 containers hum like a well-tuned engine. In the last month alone, it executed 200M+ test steps, caught 390,000 bugs, returned results in 3 seconds on average, and delivered the equivalent of 300,000 hours of manual testing. No surprise Notion, Xero, Bilt, Webflow, Retool, Quora, Runway, Reducto, Podium, Chegg, and Poe.com are already onboard.
This momentum comes directly from the founders’ history in the trenches. Wei-Wei Wu sharpened his instincts at Qualtrics, WeWork, Nashi, Density, and Assembled, building tools that developers actually want to use. Jeff An shaped distributed systems at Splunk and Google before leading dev-infra at Robinhood, where he built the kind of simulation stack that only shows up when the pressure is real. Their combined experience created a platform that feels less like a product launch and more like a relief valve for teams exhausted by brittle selectors and endless maintenance cycles.
What stands out from a business perspective is how pure the insight is. When AI speeds up creation, verification becomes the real constraint. Leaders no longer worry about producing code. They worry about trusting it. Momentic turns that anxiety into confidence by letting teams scale quality with the same velocity as development. It gives startups and enterprises a way to ship without bracing for impact, which is exactly why this round matters. With ~6 employees and active hiring across engineering, sales, and marketing, Momentic is gearing up to meet the demand it helped create.
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