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AI-Powered Testing Startup, Momentic, Raises $15M to Automate Software Verification

AI Testing Software Testing Automation Momentic Startups Funding Silicon Valley TechCrunch
November 24, 2025
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Article Summary

Momentic, an AI-focused software testing startup, has raised $15 million in a Series A round to bolster its efforts in automating the often-overlooked task of software verification. Led by Standard Capital, the investment builds upon a previous $3.7 million seed round, demonstrating growing investor confidence in the company’s approach. Momentic’s tools leverage artificial intelligence to streamline the process of testing and validating software, addressing a major pain point for development teams. The company’s technology, described by co-founder Wei-Wei Wu, allows users to simply describe their critical user flows in plain English, and the AI then automates the testing process. Currently boasting over 2,600 users including those at companies like Notion, Xero, and Webflow, Momentic is tackling a significant need in the software development landscape. This funding will be used to expand the team and further develop the AI-driven testing platform, particularly with features like mobile environment support. The rise of automated coding and complex software applications are increasing the demand for robust testing solutions, and Momentic is positioning itself to capitalize on this trend. With competition potentially increasing from foundational models like OpenAI's and Anthropic's offerings, Momentic's focus on a user-friendly, AI-powered approach appears to be a strategic differentiator.

Key Points

  • Momentic secured $15 million in Series A funding, driven by increasing demand for automated software testing.
  • The company utilizes AI to allow users to describe testing needs in plain English, automating the complex testing process.
  • Momentic’s client base includes major players like Notion, Xero, and Webflow, indicating strong market validation.

Why It Matters

This funding round highlights the growing importance of automation in the software development lifecycle. As software becomes increasingly complex and applications multiply, the need for efficient and scalable testing solutions is paramount. Momentic’s approach represents a significant step towards democratizing software testing, potentially reducing development costs and improving software quality across a broader range of applications. For professionals in software development, DevOps, and quality assurance, this news signals a shift towards leveraging AI to optimize testing processes and address the scalability challenges inherent in modern software development.

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