What is RevEng.AI?
RevEng.AI is a specialized cybersecurity startup that addresses the critical gap in software supply chain security through AI-powered binary analysis. Founded in 2022, the company utilizes advanced deep learning architectures to perform both semantic and syntactic analysis of binary machine code. This capability allows organizations to gain unprecedented visibility into the security posture of third-party software and proprietary binaries, effectively identifying hidden vulnerabilities that traditional source-code analysis might overlook. By operating at the binary level, RevEng.AI provides a robust defense layer for enterprises and government entities that rely on complex, opaque software stacks in high-stakes environments.
How much funding has RevEng.AI raised?
RevEng.AI has raised a total of $19.1M across 2 funding rounds:
Seed
$4.2M
Series A
$15M
Seed (2025): $4.2M with participation from Sands Capital, IQ Capital, In-Q-Tel, and Episode 1 Ventures
Series A (2026): $15M led by In-Q-Tel, Sands Capital, Episode 1 Ventures, NATO Innovation Fund, and Iqcapital Developed
Key Investors in RevEng.AI
In-Q-Tel
In-Q-Tel is a not-for-profit strategic investment firm serving as the venture arm for the U.S. national security community, focusing on early-stage technologies in AI, biotech, and microelectronics.
NATO Innovation Fund
The NATO Innovation Fund is a multi-billion euro venture capital vehicle backed by 24 NATO allies, dedicated to investing in deep tech startups that enhance defense, security, and resilience.
IQ Capital
IQ Capital is a prominent venture capital firm based in Cambridge and London, specializing in deep-tech investments across sectors like machine learning, robotics, and disruptive algorithms.
What's next for RevEng.AI?
With this latest capital injection, RevEng.AI is poised to scale its engineering operations and expand its market reach within the defense and enterprise sectors. The strategic involvement of high-profile backers suggests a clear roadmap toward integrating its binary analysis technology into national security and critical infrastructure frameworks. Future growth will likely focus on refining its deep learning models to handle larger, more diverse binary datasets while simultaneously building out a global sales and support infrastructure. As the company transitions from its early-stage development phase to a more mature scaling operation, the focus will remain on establishing its platform as the industry standard for binary-level security assurance.
See full RevEng.AI company page
