Momentic Secures $15M for AI-Powered Software Testing
November 30, 2025, 9:31 am
Location: United States, California, Mountain View
Employees: 51-200
Founded date: 2005
Location: New Zealand, Wellington
Employees: 1001-5000
Founded date: 2006
Total raised: $358.6M
Location: United States, California, Mountain View
Employees: 201-500
Founded date: 2009
Total raised: $226M
Momentic, an AI-driven software testing platform, raised $15M in Series A funding. Standard Capital led the round. The funds will boost platform coverage and AI integrations. Momentic aims to be the software quality source of truth.
Software testing is entering a new era. Momentic, a company specializing in AI-powered software testing and quality assurance, has secured $15 million in Series A funding. Standard Capital spearheaded the investment. Dropbox Ventures and existing investors also participated.
This latest round brings Momentic's total funding to $19.2 million. The company aims to transform how software teams approach quality assurance.
Traditional software testing is often slow and error-prone. Generating test cases manually can take weeks. Coverage is often incomplete, leaving software vulnerable. UI changes can easily break tests.
Momentic offers a solution. Their platform generates automated test cases from natural language descriptions. The AI plans actions, develops tests, and executes them. The system auto-heals tests when UIs change.
AI coding tools are accelerating software development. However, they can also introduce bugs faster. Developers spend more time debugging AI-generated code. The "blast radius" of bad code is increasing.
Momentic helps address these challenges. It empowers engineers to own software quality.
Momentic is trusted by companies like Notion, Xero, Runway AI, and Quora. Notion's head of developer experience noted that Momentic tests run on every pull request, merge, and deploy.
The platform has automated nearly 300,000 hours of manual testing in a single month. It has prevented over 390,000 bugs from reaching production. Customers have run more than 2 billion steps on the platform since 2024. This activity would take decades to reproduce manually.
Momentic has expanded beyond web automation. It now supports mobile (Android and iOS) and soon desktop apps.
The company has also introduced integrations with AI tools. Its Model Context Protocol server allows AI coding agents to generate or refine tests directly within Momentic.
Momentic plans to use the funding to enhance its engineering efforts. This includes expanding platform coverage and incorporating accessibility testing. The company will strengthen integrations with AI coding tools. It will also scale up its sales and marketing efforts.
Momentic envisions itself as more than just a testing tool. It aims to be the definitive source of truth for how customers think about their products. The goal is to provide intelligent guardrails that keep pace with AI-accelerated development. This ensures reliability at scale and reduces test maintenance.
The investment signifies the growing importance of AI in software quality assurance. As development speeds increase, AI-powered testing becomes crucial for maintaining software reliability and preventing costly bugs.
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Momentic Lands $15M to Revolutionize Software Quality with AI
Software testing is entering a new era. Momentic, a company specializing in AI-powered software testing and quality assurance, has secured $15 million in Series A funding. Standard Capital spearheaded the investment. Dropbox Ventures and existing investors also participated.
This latest round brings Momentic's total funding to $19.2 million. The company aims to transform how software teams approach quality assurance.
AI Tackles Testing Bottleneck
Traditional software testing is often slow and error-prone. Generating test cases manually can take weeks. Coverage is often incomplete, leaving software vulnerable. UI changes can easily break tests.
Momentic offers a solution. Their platform generates automated test cases from natural language descriptions. The AI plans actions, develops tests, and executes them. The system auto-heals tests when UIs change.
AI-Driven Development Demands Smarter Testing
AI coding tools are accelerating software development. However, they can also introduce bugs faster. Developers spend more time debugging AI-generated code. The "blast radius" of bad code is increasing.
Momentic helps address these challenges. It empowers engineers to own software quality.
Platform Adoption and Impact
Momentic is trusted by companies like Notion, Xero, Runway AI, and Quora. Notion's head of developer experience noted that Momentic tests run on every pull request, merge, and deploy.
The platform has automated nearly 300,000 hours of manual testing in a single month. It has prevented over 390,000 bugs from reaching production. Customers have run more than 2 billion steps on the platform since 2024. This activity would take decades to reproduce manually.
Multiplatform Support and AI Integration
Momentic has expanded beyond web automation. It now supports mobile (Android and iOS) and soon desktop apps.
The company has also introduced integrations with AI tools. Its Model Context Protocol server allows AI coding agents to generate or refine tests directly within Momentic.
The Future of Software Quality
Momentic plans to use the funding to enhance its engineering efforts. This includes expanding platform coverage and incorporating accessibility testing. The company will strengthen integrations with AI coding tools. It will also scale up its sales and marketing efforts.
Momentic envisions itself as more than just a testing tool. It aims to be the definitive source of truth for how customers think about their products. The goal is to provide intelligent guardrails that keep pace with AI-accelerated development. This ensures reliability at scale and reduces test maintenance.
The investment signifies the growing importance of AI in software quality assurance. As development speeds increase, AI-powered testing becomes crucial for maintaining software reliability and preventing costly bugs.
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