Depthfirst, a San Francisco, CA–based, AI-powered security company, has raised $40 million in Series A funding.
Investors
The round was led by Accel, with participation from Alt Capital, BoxGroup, Liquid 2 Ventures, Mantis VC, SV Angel, and prominent angel investors including Jeff Dean and Kirsten Green.
Founded in 1983 and headquartered in Palo Alto, Accel is a global venture capital firm that partners with exceptional founders from inception through all phases of growth. The firm has backed category-defining technology companies across consumer, enterprise, and infrastructure sectors, with a long-term, founder-centric approach. Accel operates with a global footprint, investing across North America, Europe, Israel, India, and Southeast Asia.
Depthfirst Use of Funds
The company will use the funds to advance research and development, expand go-to-market efforts, and hire across engineering, product, research, and sales.
About Depthfirst
Founded in 2024, Depthfirst is an applied AI lab developing novel security solutions for businesses facing modern, AI-era threats to their systems. The company’s AI-native security platform, General Security Intelligence, builds context across a company’s code, infrastructure, and business logic to identify complex vulnerabilities, prioritize critical issues, and provide developers with ready-to-merge fixes. The company’s mission is to help secure the world’s software that powers society’s critical systems before they are threatened by new-generation, AI-empowered attackers.
Funding Details
Company: DepthFirst AI, Inc.
Raised: $40.0M
Round: Series A
Funding Date: September 2025
Lead Investor: Accel
Additional Investors: Alt Capital, BoxGroup, Liquid 2 Ventures, Mantis VC, SV Angel, Jeff Dean, Kirsten Green, Colin Evans, Logan Kilpatrick, and Julian Schrittwieser
Company Website: https://depthfirst.com/
Software Category: AI-powered Cybersecurity / Software Security
Source: https://www.businesswire.com/news/home/20260114573872/en/depthfirst-Announces-%2440M-Series-A-to-Secure-the-Worlds-Software