RevEng.ai, a cutting-edge start-up focused on building foundation AI models for identifying security threats and vulnerabilities in software, has raised $4.15m in a seed funding round.
The investment was led by Sands Capital, with participation from In-Q-Tel Capital, IQ Capital, and Episode 1, providing RevEng.ai with fresh capital to expand its proprietary AI models and grow its team as it meets increasing demand for proactive cybersecurity tools.
The company is developing AI models that can identify unsafe code hidden within software supply chains without needing access to the original source code. It aims to tackle the growing challenge of analysing software for backdoors, malicious code, and zero-day vulnerabilities at scale, addressing the significant risk organisations face from software supply chain attacks.
The funding will help RevEng.ai to accelerate product development, scale its team, and enhance its AI-driven Binary Analysis Platform, with a focus on the U.S. market where demand for advanced software supply chain security is rising sharply.
Cybercrime costs organisations $11.9tn annually, with ransomware attacks averaging $5.45m per incident. The increasing use of AI-generated code, open-source dependencies, and limited visibility into third-party components have intensified software supply chain attacks, which are expected to affect 45% of organisations globally. RevEng.ai’s technology aims to change the landscape by enabling security teams to verify the integrity of deployed software, even without source code access.
As a graduate of the NCSC for Startups programme, RevEng.ai has received support from the UK’s National Cyber Security Centre, which, alongside the US Government, recognises the importance of building innovative AI for cybersecurity. The company also participated in Intel Ignite’s 2024 cohort, gaining access to commercial partners and resources that have helped accelerate its growth and technology development.
RevEng.ai CEO and founder James Patrick-Evans said, “Our goal at RevEng.ai is to simplify and automate the analysis of released software. Our platform helps security engineers and malware analysts identify malicious components to verify the integrity of software supply chains without needing access to source code. This investment gives us the capital needed to develop the world’s first foundation AI models specifically targeted to analysing software packages.”
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