San Francisco, CA - June 23, 2026 - Momentic, a quality platform for engineers and agents, today announced a major update that rethinks software verification for the AI era. The launch of the first Agentic Quality Platform comes as AI coding tools enable teams to ship more code than ever before, yet validation methods have not kept pace, leading to bugs reaching production faster than teams can catch them.
The platform’s agents operate on a shared product knowledge base and include an Explore Agent that automatically expands test coverage, a Failure Classification Agent that categorizes failures and opens pull requests to heal non-bugs, and an intent-based test format readable by both humans and AI. Early beta results show the agents analyzed over 70,000 test failures, opened 400 pull requests, wrote 600 tests with a 73% merge rate, executed more than 2 billion steps, and verified over 80,000 PRs.
Momentic’s approach directly addresses the bottleneck in software quality as AI accelerates code production. According to the company, the platform helps engineering teams shift from firefighting hotfixes to shipping new features, by automating the validation process. The agents are designed to scale coverage without requiring manual test creation, making it possible for teams to maintain high quality standards even as code output grows exponentially.
The platform supports web, Android, and iOS applications, and is used by companies including Notion, Xero, Bilt, Webflow, and SPS Commerce. Momentic, founded in late 2023 and backed by investors such as Standard Capital, Y Combinator, FCVC, Transpose Platform, Dropbox Ventures, and Karman Ventures, is headquartered in San Francisco. For more information, visit momentic.ai.
The announcement highlights the growing importance of quality assurance in the AI-driven development landscape, as teams seek tools that can keep up with the pace of code generation. Momentic’s agentic platform represents a shift from traditional testing frameworks to AI-native solutions that can autonomously manage test creation, failure analysis, and code healing.
