When the world gets excited about shiny product demos and new app features, there’s an entire layer of unseen engineering work that keeps software functioning reliably. Testing, quality assurance, and debugging rarely make headlines — yet they’re the backbone of every modern digital product. And now, a new wave of startups is using AI to transform this historically slow, manual, and expensive process.
US-based AI testing platform Momentic has secured $15 million in Series A funding, led by Standard Capital with participation from Dropbox Ventures. Existing backers — Y Combinator, FCVC, Transpose Platform, and Karman Ventures — also returned for this round, building on the company’s previous $3.7 million seed raise earlier this year.
Simplifying a Pain Point Developers Have Struggled With for Years
Momentic is positioning itself as the next evolution of software verification, taking on legacy frameworks like Playwright and Selenium. Traditional testing tools give teams powerful, low-level control — but they also require deep expertise, ongoing maintenance, and significant engineering time.
Momentic’s approach is the opposite: describe your intended user flow in plain English, and the system’s AI automatically builds, runs, and validates the test.
“We help our customers make sure their product works,” said co-founder Wei-Wei Wu, who previously worked on developer tools at Qualtrics and contributed significantly to Node.js. He and co-founder Jeff An, formerly at WeWork, built Momentic after seeing one recurring problem across every engineering team they worked with: test coverage never keeps up with shipping velocity.
“Testing has been the biggest pain point for every team I’ve ever worked with,” Wu shared.
Momentum Across Enterprise Teams
Despite being early in its journey, Momentic has already attracted a strong customer base. The platform now supports 2,600 users, including teams from:
- Notion
- Xero
- Bilt
- Webflow
- Retool
While Wu did not disclose revenue, he said product adoption and customer growth were more than enough to convince investors.
One major advantage: AI allows Momentic to scale testing volume in ways that manual teams never could. The company reports over 200 million test steps automated in the last month alone — a figure that showcases both demand and computational scale.
Competing With — and Building on — Foundation Models
Ironically, Momentic’s biggest competitor may be the foundation models powering the current AI boom. Companies like OpenAI and Anthropic increasingly publish their own guides for agentic testing and automated QA workflows, raising the bar for third-party platforms.
Even so, Momentic sees opportunity in specialization. Wu says the new funding will go toward expanding engineering talent and enhancing the platform’s capabilities, including its recent rollout of mobile testing support and its upcoming test-case management features.
Preparing for a World of Rapidly Generated Software
As AI-assisted coding accelerates development cycles, the volume of new software — and the need to test it — is only rising.
“All of these apps need testing,” Wu said. “They care about quality, and we’re going to provide it for them.”
With fresh capital and increasing enterprise adoption, Momentic is betting that automated testing will become as essential as automated coding — and that its AI-native approach can deliver the speed, scale, and reliability next-generation teams require.