Momentic Secures $15 Million Series A to Expand AI-Driven Software Testing

AI testing startup Momentic announced the closure of a $15 million Series A funding round to scale its platform focused on automating software verification processes.

Standard Capital led the investment, which included participation from Dropbox Ventures.

Existing backers, including Y Combinator, FCVC, Transpose Platform, and Karman Ventures, also contributed capital to the round.

This new investment follows a $3.7 million seed funding round the company closed earlier this year in March. Momentic develops tools designed to simplify and automate the traditionally complex quality assurance workflows inherent in software development lifecycles.

The company’s value proposition centers on translating natural language descriptions of desired user flows directly into automated tests.

Co-founder Wei-Wei Wu cited the persistent verification challenges encountered across every development team he has previously worked within as the primary motivation for the company’s existence.

The platform aims to abstract away the low-level configuration often required by established open-source testing frameworks like Selenium and Playwright. Momentic currently supports over 2,600 active users across its client base, which features established technology companies such as Notion, Xero, Bilt, Webflow, and Retool. This adoption suggests a market readiness for AI solutions that reduce the friction associated with maintaining code quality at scale.

The firm’s technology has already demonstrated high throughput, estimating that its platform automated more than 200 million individual test steps within the last month alone. This level of automation makes executing exhaustive test suites feasible, potentially increasing the overall volume of verification previously unattainable through manual or script-heavy methods. However, the competitive landscape is evolving rapidly, with foundational model developers like OpenAI and Anthropic already publishing tutorials on agentic testing capabilities.

Consequently, Momentic must continue to differentiate its enterprise SaaS offering against the growing native capabilities embedded within core large language models.

The fresh capital will be directed toward expanding engineering capacity to further develop the product roadmap.

Specifically, the company plans to enhance its test-case management infrastructure following its August launch of mobile environment support.

Momentic’s leadership anticipates that the increasing velocity of application development, driven partly by generative AI coding tools, will create a corresponding surge in demand for rigorous quality control solutions. The company is positioning itself to capture this growing need for automated quality assurance across the expanding software ecosystem.