RevEng.AI Secures $15M Series A to Verify AI-Generated Software
RevEng.AI has raised $15 million in Series A funding led by the NATO Innovation Fund to enhance its AI-powered software verification platform. The company’s technology analyses compiled binaries to detect vulnerabilities and hidden components, addressing growing risks posed by AI-generated code and third-party software.
RevEng.AI, a cybersecurity company specialising in software supply chain verification, has closed a $15 million Series A funding round. The round was led by the NATO Innovation Fund, with additional participation from Sands Capital, In-Q-Tel, IQ Capital, and Episode One. The new capital will support the growth and broader deployment of RevEng.AI’s binary-level software verification platform.
The company addresses mounting concerns about software supply chain security, especially as organizations rely increasingly on third-party applications and open-source components. The proliferation of AI-generated code has made it more challenging for security teams to assess the trustworthiness of software, leaving systems exposed to hidden vulnerabilities and potential backdoors.
RevEng.AI has developed a foundational AI model, BinNet, which examines software at the binary level—that is, the form software takes after it is compiled, and which runs on computers. Unlike traditional application security tools that focus on reviewing human-readable source code, RevEng’s platform enables analysis of compiled executables, including those for which source code is unavailable or proprietary. This approach aims to reveal what is actually contained within executables, firmware, and third-party applications.
Trained in collaboration with government cyber units and commercial security teams, BinNet is designed to automatically flag hidden vulnerabilities, suspicious functionality, and abnormal changes in software before deployment or procurement. This capability is becoming increasingly critical as more software is generated or modified by artificial intelligence and is released without direct human review.
James Patrick-Evans, PhD, founder and CEO of RevEng.AI, emphasised the significance of examining binaries rather than source code. "Executable binaries are becoming the most reliable way to verify what software actually does once it runs on machines," he said. He added that RevEng.AI provides organisations with an independent, automated mechanism to verify software, especially crucial in an era where much of the code is never seen by a human.
David Ordonez, Senior Associate at the NATO Innovation Fund, commented on the broader relevance of RevEng.AI’s technology, noting its ability to enhance the resilience of sectors such as energy, transportation, healthcare, finance, and defence—all of which rely heavily on software, often from external vendors.
The company reports early demand from both enterprise and defence customers and plans to integrate its platform into existing security and software delivery workflows. The funding will be directed towards supporting this expansion and responding to increased demand for reliable software verification in a rapidly evolving digital landscape.
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