Momentic Inc., an artificial intelligence-powered software testing and quality assurance platform for developers, today announced that it has raised $15 million in early-stage funding.

Standard Capital led the Series A round, with participation from Dropbox Ventures and existing investors Y Combinator, FCVC, Transpose Platform and Karman Ventures. This fundraise brings the total raised by the company to $19.2 million, following Momentic’s $3.7 million seed round only eight months ago.

Many companies, including big ones, operate extremely laborious QA lifecycles. They can involve any number of automated testing tools that depend heavily on handwritten or generated test scripts that are run against functions before it goes live.

“Testing is over 20 years old, but all of the fully automated tools still require a lot of human intervention to write and maintain,” co-founder and Chief Executive Wei-Wei Wu told SiliconANGLE in an interview.

AI-driven test automation is growing, according to a report from QASource Inc., a leading provider of outsourced software QA services. Generating comprehensive test cases manually is one of the most laborious and error-prone parts of the QA process, often burning two to three weeks per feature. Even then, most teams only manage to cover about 60% t0 70% of scenarios, which leaves software vulnerable to bugs.

Beyond that, pre-generated test cases for front-end user interfaces are fragile — meaning that a minor change in the structure of a UI can break tests.

The increasing adoption of AI coding tools like Anysphere Inc.’s Cursor and Anthropic PBC’s Claude Code have greatly accelerated the pace of software feature creation and deployment. According to a recent survey from Harness Inc., an AI-native software delivery platform, 67% of developers said they spent more time debugging AI-generated code. A staggering 92% of developers reported that AI increases the “blast radius” from bad code reaching production.

Momentic helps resolve this by providing a tool that generates automated test cases from fully natural language statements, describing the way that software should work. The AI then plans out actions, develops test cases and then executes the tests to reveal if something isn’t working quite right. If the underlying structure of the UI changes, the platform can auto-heal tests so that they continue to operate under the new paradigm.

“Engineering teams are drowning in broken Selenium or Cypress and Playwright tests,” added Wu. “QA teams are starting to become the bottleneck. With Momentic, you can empower your engineers to own the quality.”

The company has grown to be trusted by QA teams in companies of all sizes, from big technology teams such as Notion Labs Inc. and Xero Ltd., AI companies such as Runway AI Inc. and Reducto Inc., and category leaders such as Quora Inc. and Bilt Technologies Inc.

“Before Momentic, our Selenium suite gave us a good signal but was expensive to maintain,” said Erdem Alparslan, head of developer experience at Notion. “Today every engineer runs Momentic tests on every [pull request], merge and deploy as part of their normal workflow.”

According to the company, Momentic executed more than 200 million steps in the past month and automated the equivalent of nearly 300,000 hours of manual testing. In that same period, the platform prevented more than 390,000 bugs from reaching production.

Since March, Momentic has expanded from web-only automation into a multiplatform testing system that covers mobile — both Android and iOS — and soon desktop apps, mirroring the diversity of surfaces modern teams ship on. Wu also highlighted infrastructure enhancements like the “broadened quarantine area” for managing flaky tests at scale.

In a significant update, the company introduced integrations with AI tools and a native Model Context Protocol server that enables AI coding agents to generate or refine tests directly within Momentic.

“Momentic is not just a testing tool,” said Wu. “We see Momentic as the source of truth for how our customers think about their product.”

Momentic plans to use the new funding to enhance its engineering efforts by expanding platform coverage, incorporating features such as accessibility testing and strengthening integrations with AI coding tools and editors. The company will also scale up its go-to-market operations by increasing its sales and marketing efforts to promote its vision for software quality in the age of AI.

Image: SiliconANGLE/Microsoft Designer, Momentic