AI is writing, modifying, and delivering code faster than ever, but the binary files that actually run on machines are often not inspected at the same speed.
That is the market RevEng.AI is betting on. On May 27, the London-based cybersecurity company announced a $15 million Series A funding round led by the NATO Innovation Fund, with participation from Sands Capital, In-Q-Tel, IQ Capital, and Episode One. In-Q-Tel is a venture capital firm with deep ties to the U.S. intelligence community, and the presence of the NATO fund signals that software supply chain security is no longer just an enterprise IT concern.
RevEng.AI specializes in binary-native verification. It does not require customers to provide source code; instead, it directly analyzes compiled executables, firmware, or third-party software to find vulnerabilities, backdoors, and malicious functionality. This approach is particularly critical for closed-source software, vendor-supplied components, and AI-generated code, where source code is not always available and may not match what actually runs.
The company's core model, BiNet, is trained for binary analysis, aiming to automate much of the work that traditionally relies on expert experience in reverse engineering. Conventional security audits typically start with source code and then verify the build output; RevEng.AI's approach is more direct: regardless of how the code is written, the file that the machine actually executes is the ultimate truth.
This focus comes at a time when AI coding tools are booming. As code generation accelerates, enterprises face not just the question of whether code can be written, but whether it contains hidden threats. When AI coding agents produce massive amounts of code daily, humans cannot review every change line by line, making post-compilation inspection more critical.
The NATO Innovation Fund emphasized in its announcement that software underpins every layer of the economy and national security, and organizations need to know what is actually inside the software they depend on, even if it is closed-source or delivered by third parties. This assessment explains why defense and intelligence-linked capital is flowing into a small security company.
RevEng.AI has not disclosed a large customer list, which is not surprising. Binary security is closely tied to defense, critical infrastructure, and supply chain auditing, and many customers are not suitable for public disclosure. The real challenge for the company is turning its reverse-engineering capabilities into an enterprise-scalable platform, rather than serving only a few expert teams.
The faster AI writes code, the stronger the demand for verifying the final product. RevEng.AI's funding round signals that in the AI software development chain, 'what actually runs in the end' is becoming a standalone business.
Sources: RevEng.AI raises $15M to reverse-engineer software binaries and hunt down malicious threats (SiliconANGLE); NATO Innovation Fund leads $15 million RevEng.AI round (NATO Innovation Fund); CocoLoop; RevEng.AI Raises $15 Million to Hunt for Flaws and Backdoors in Software Binaries (SecurityWeek)