Momentic, an artificial intelligence (AI) testing startup, announced Monday it has secured $15 million in a Series A funding round. The capital is designated to advance the company's AI-driven software testing and verification tools, addressing critical aspects of software development such as debugging, quality assurance, and testing, processes increasingly being automated by AI.
The funding round was led by Standard Capital, with additional participation from Dropbox Ventures. Existing investors, including Y Combinator, FCVC, Transpose Platform, and Karman Ventures, also contributed to the Series A. This investment follows a $3.7 million seed round that Momentic had previously announced in March, bringing total disclosed funding to $18.7 million.
Momentic develops AI-powered tools designed to automate software testing and verification. This niche has historically been served by open-source frameworks like Playwright and Selenium, which offer detailed controls. Momentic aims to simplify this process through AI, allowing users to describe critical user flows in natural language for automated execution, according to co-founder Wei-Wei Wu. Wu and co-founder Jeff An previously held positions in developer tooling at companies such as Qualtrics and WeWork, with Wu noting that "testing has been the biggest pain point for every team I’ve ever worked with."
The company reports a current user base of 2,600 clients, including organizations such as Notion, Xero, Bilt, Webflow, and Retool. Wu indicated that the product's growth was a factor in securing investor confidence. The platform's automation capabilities are evidenced by an estimated 200 million test steps executed in the last month, as reported by Wu, demonstrating the potential for increased testing volume at scale.
The market for AI-driven testing solutions is evolving, with offerings from foundation model developers such as OpenAI and Anthropic, which provide guidance on agentic testing using their large language models. Momentic expanded its product capabilities by launching support for mobile environments in August. The company plans to utilize the new funding to onboard additional engineers and develop more sophisticated test-case management features. Wu anticipates a rising demand for quality assurance solutions as the prevalence of automated coding contributes to an increase in new application development.
