DepthFirst AI, Inc.

Based in the US, DepthFirst AI, Inc. offers an advanced AI-native security platform that empowers organizations to efficiently detect and address software vulnerabilities, enhancing their overall security posture. DepthFirst AI, Inc. specializes in AI-driven software security solutions.

Founded in 2024 and headquartered in San Francisco, US, In March 2026, DepthFirst AI, Inc. raised USD 80 million in series B funding led by new investor led by new investor Meritech Capital Partners, with participation from other new investors Forerunner Ventures and The House Fund. Returning investors Accel, BoxGroup, Liquid 2 Ventures, Mantis, and ALT Capital Partners also participated in the round. The founder has a background in technology but specific prior ventures are not documented.

There are no known pivots in their business strategy or parent company affiliations. DepthFirst AI offers an AI-native security platform that integrates advanced security intelligence to help organizations identify and remediate software vulnerabilities effectively. The platform analyzes code repositories, infrastructure, and business logic to deliver actionable insights and fixes directly to developers' workflows. Key features include uncovering complex vulnerabilities that traditional scanners often miss, tracing attack paths, and validating the exploitability of security issues.

Its modular architecture allows for rapid deployment and continuous learning. The company serves a diverse client base, including firms such as AngelList, Moveworks, and Persona, predominantly in North America and Europe. DepthFirst AI generates revenue through subscription-based models for its security platform, serving business-to-business clients in the tech industry. Subscriptions offer access to core services, including General Security Intelligence and dynamic testing for running applications, ensuring ongoing protection against emerging vulnerabilities.

Clients enter contracts that may include tiered pricing plans based on the scale of usage, such as the number of repositories analyzed or the volume of code reviewed. This structure allows flexibility in meeting the security needs of varying-sized companies. The company plans to use the March 2026 funding to expand its AI research team, train additional security models across new domains, and scale enterprise adoption of its AI‑native security platform.