Seed · $3.7MMomentic
AI-native test automation using natural language
Test AutomationY CombinatorGeneral Catalyst
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Testing Without the Pain
End-to-end testing is the bane of every engineering team's existence. Tests are slow to write, constantly break, and require dedicated QA engineers to maintain. Momentic replaces all of that with AI — letting engineers write comprehensive tests using plain English instead of brittle selectors and complex frameworks like Playwright or Selenium.
The YC W24 graduate raised a $3.7M seed round led by FundersClub, with backing from General Catalyst, Y Combinator, AI Grant, and angel investors including Box CEO Aaron Levie. Co-founded by Wei-Wei Wu (ex-Density staff engineer) and Jeff An (who led testing at Robinhood and quality at Retool), the company followed up with a $15M Series A just eight months later.
Why It Matters
Software teams spend up to 30% of engineering time on testing and maintenance. Momentic's AI-native approach eliminates flaky tests, handles visual regression, API testing, and accessibility checks — all from natural language descriptions. As AI agents become part of every engineering workflow, having AI-powered testing infrastructure becomes not just convenient but essential.
About Wei-Wei Wu
Wei-Wei Wu is the Co-Founder and CEO of Momentic, an AI-native test automation platform. Prior to founding Momentic, Wu served as a staff engineer at Density. He co-founded the company alongside Jeff An, who previously led testing at Robinhood and quality at Retool.
Momentic emerged from the Y Combinator W24 batch, where Wu and An set out to solve one of software engineering's most persistent pain points: the enormous time and effort spent on end-to-end testing. Their approach — replacing brittle selectors and complex frameworks with plain English test descriptions — attracted early backing from FundersClub, General Catalyst, Y Combinator, and AI Grant, along with angel investors including Box CEO Aaron Levie.
Under Wu's leadership, Momentic raised a $3.7M seed round followed by a $15M Series A just eight months later, reflecting strong market demand for AI-powered testing infrastructure. The company has grown to approximately 20 employees and serves engineering teams looking to eliminate flaky tests across visual regression, API testing, and accessibility checks.
Sources: Public press releases, SEC and state business filings, published interviews, news coverage, and company disclosures.
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