RevEng Raises $4.15M to Secure Software Supply Chains with AI

London-based RevEng has raised $4.15 million in seed funding, backed by Sands Capital, In-Q-Tel Capital, IQ Capital, and Episode 1 Ventures, to build foundational AI models capable of detecting threats and vulnerabilities in compiled software without access to source code. As McKinsey estimates the global cybersecurity market opportunity could reach $1.5 to $2 trillion, this investment positions RevEng to play a vital role in reshaping how organizations defend their software supply chains—particularly in an era where traditional tools struggle to keep up with AI-generated code and opaque third-party components.

Bridging the Blind Spot in Cyber Defense

The corporate world is grappling with an unprecedented surge of software supply chain attacks—45% of organizations are predicted to face such breaches this year. The problem intensifies as dependencies on open-source components and AI-generated code climb, all while most security tools require access to source code to spot hidden vulnerabilities.

RevEng addresses this critical gap by analyzing binary software directly—examining compiled code, firmware, and executables to detect anomalies like hidden backdoors, malicious behavior, or zero-day vulnerabilities.

BinNet™: The AI Engine Behind the Innovation

Central to the platform is BinNet™, the largest foundational AI model built for understanding the semantics of machine code. It is trained on diverse binary datasets (x86, x86_64, ARM64) and programming languages (C, C++, Go, Rust), enabling it to:

• Reconstruct higher-level program logic and flow
• Detect unknown threats and vulnerabilities at scale
• Auto-generate YARA rules for threat hunting
• Unpack obfuscated malware using dynamic sandboxing
• Emulate functions to extract encrypted strings

RevEng’s platform uses advanced machine learning models trained specifically to understand the structure and behavior of compiled software. By analyzing control flow, function relationships, and instruction-level patterns, it can extract meaningful insights from binaries—identifying malicious components, detecting zero-day vulnerabilities, and revealing hidden backdoors. This enables security teams to assess the integrity of software packages, even when source code is unavailable, turning previously inaccessible executables into transparent and verifiable artifacts.

Leadership and Strategic Backing

At the helm of RevEng is Dr. James Patrick-Evans, a globally recognized expert in AI and machine learning for binary analysis. With a PhD in Cyber Security and AI from Royal Holloway, and prior roles at F‑Secure, Mozilla, and MWR, he brings deep expertise in secure software engineering and low-level threat detection. His goal is to scale reverse engineering capabilities—traditionally limited to elite specialists—through automation and AI.

The company has already earned credibility through its selection into two highly regarded programs: the UK’s NCSC for Startups and Intel Ignite 2024. These accelerators provided RevEng with critical access to government security networks, technical advisors, and commercial partnerships—including within Intel itself—accelerating both product development and market entry.

What’s Ahead

Following its $4.15 million seed raise, RevEng is set to expand its presence in the U.S. federal and defense sectors while scaling its engineering team. Future plans include extending the platform to support additional architectures like MIPS, RISC‑V, and PPC, developing cross-architecture symbol matching, and deepening integrations with tools such as Splunk, Cutter, and Radare2. The platform will also support private cloud and on-premise deployment, enabling full compliance with enterprise and government data policies.

In a cybersecurity market projected to exceed $2 trillion, RevEng is uniquely positioned to deliver AI-native solutions that work at the binary level—uncovering hidden vulnerabilities in software where traditional tools fall short. As Sands Capital remarked, “RevEng is addressing a critical challenge in cybersecurity with its innovative approach. We are proud to support their vision…”

With technical credibility, strategic backing, and growing commercial traction, RevEng is poised to become a foundational force in securing the modern software supply chain.

The Future of Cybersecurity

As software supply chains become more fragmented, opaque, and globally interdependent, traditional security methods—reliant on source code access or manual auditing—are no longer sufficient. The rise of compiled code scanning powered by machine learning represents a major turning point. These models don’t just flag known vulnerabilities—they interpret the behavior and structure of binaries to surface novel threats, even in black-box environments.

This shift reflects a broader industry move toward autonomous, scalable cybersecurity infrastructure—where AI doesn’t just augment analysts but becomes a prerequisite for keeping pace. In a world where 300,000+ new malware samples emerge daily and 70% are never seen again, automated binary analysis offers one of the few viable paths to maintaining real-time visibility across the software stack.

Foundation models like those powering AI-driven reverse engineering will increasingly underpin national security efforts, DevSecOps pipelines, and even software procurement processes. Their ability to verify code integrity at scale—regardless of vendor transparency—will redefine how trust is established in the digital ecosystem. Over time, this technology could become as fundamental to cybersecurity as antivirus engines were in the last era.