Momentic Secures $15 Million Series A Funding to Address AI-Driven Software Testing Crisis
TL;DR
Momentic's AI testing platform gives development teams a competitive edge by preventing over 390,000 bugs from reaching production, ensuring higher quality software releases.
Momentic's AI-native testing platform automates verification by executing millions of test steps, replacing manual testing with intelligent validation that integrates into development workflows.
Momentic makes quality software accessible to all teams by preventing bugs from affecting users, creating more reliable digital experiences that improve daily life.
Momentic automated the equivalent of 300,000 hours of manual testing last month, demonstrating how AI can transform software verification at massive scale.
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Momentic has secured $15 million in Series A funding to address the growing testing bottleneck that is slowing software delivery across the industry. The AI-native testing platform for modern development teams received funding led by Standard Capital, with participation from Dropbox Ventures and existing investors including Y Combinator, FCVC, Transpose Platform and Karman Ventures. This investment will accelerate Momentic's mission to build what the company describes as the definitive verification layer for software.
The funding announcement comes at a critical juncture in software development, where AI coding tools like GitHub Copilot and Cursor are dramatically accelerating code output while simultaneously generating bugs faster than traditional testing methods can catch them. Despite decades of innovation in software testing, the promise of fully automated testing has remained elusive, still requiring significant human intervention. Traditional testing infrastructure simply cannot keep pace with the rapid code generation enabled by modern AI tools.
Wei-Wei Wu, Co-founder and CEO of Momentic, explained the company's founding motivation: "We started Momentic because we saw too many engineering teams drown in broken tests while bugs still reached production. AI has made us faster at writing code, but our testing tools are stuck in the past." The Series A funding provides the resources to build what Wu describes as "a validation layer to become the intelligent guardrail for software development across all applications, platforms and industries."
Standard Capital, the AI-native Series A firm founded by former Y Combinator partner Dalton Caldwell, Bryan Berg and Paul Buchheit, led the round in one of the first investments from their new fund. The investment process moved from initial application to term sheet in just two weeks. Standard Capital's unique approach involves not taking board seats, instead creating cohorts of peer companies where founders can share insights and accelerate learning together.
Dalton Caldwell at Standard Capital emphasized the shifting value proposition in software development: "As AI makes it trivial to generate code, and most code written will be written by AI, the real value shifts to the systems that verify the generated code works. Momentic is becoming the source of truth and guardrail layer for all software products. We believe Momentic has the opportunity to be the most valuable component of the future software stack."
Momentic has quickly established itself as the testing standard for companies shipping quality software. The platform is used across companies of all sizes, including leading technology teams like Notion, Xero and Collectors; AI companies like Runway and Reducto; and category leaders like Quora and Bilt. The platform's impact is demonstrated by its execution of over 200 million steps in the past month, automating the equivalent of nearly 300,000 hours of manual testing. During that same period, Momentic prevented more than 390,000 bugs from reaching production.
Erdem Alparslan, Head of Developer Experience at Notion, described the platform's practical impact: "Before Momentic, our Selenium suite gave us good signal but was expensive to maintain. Today every engineer runs Momentic tests on every PR, merge, and deploy as part of their normal workflow. We define critical flows in plain English, Momentic does the heavy lifting, and it has noticeably improved both our release cadence and our confidence in each deploy."
The Series A funding will enable Momentic to expand its engineering team, accelerate product development, and scale go-to-market efforts as the company pursues its vision of becoming the source of truth for how software works. As AI coding tools continue to fundamentally reshape software development, Momentic's positioning as the verification layer addresses a critical industry need that affects software quality, development speed, and ultimately, user experience across all digital products. More information about the company is available at https://momentic.ai.
Curated from Reportable

