RevEng
RevEng.AI is a cybersecurity company that leverages artificial intelligence for binary analysis. Their core offering is the BinNet™ AI model, described as the world's largest for understanding binary machine code semantics. This platform aims to secure software supply chains by analyzing and verifying the integrity of binary code. Key features include detailed security assessments, AI-driven binary analysis to explore functions and their interactions, software supply chain security to detect vulnerabilities without source code, and automated YARA rule generation. RevEng.AI also provides plugins for popular reverse engineering tools like IDA Pro and Ghidra, as well as a CLI tool, ensuring seamless integration into existing workflows. The company positions AI as essential for effectively protecting organizations against increasingly complex cyber threats.
RevEng
RevEng.AI is a cybersecurity company that leverages artificial intelligence for binary analysis. Their core offering is the BinNet™ AI model, described as the world's largest for understanding binary machine code semantics. This platform aims to secure software supply chains by analyzing and verifying the integrity of binary code. Key features include detailed security assessments, AI-driven binary analysis to explore functions and their interactions, software supply chain security to detect vulnerabilities without source code, and automated YARA rule generation. RevEng.AI also provides plugins for popular reverse engineering tools like IDA Pro and Ghidra, as well as a CLI tool, ensuring seamless integration into existing workflows. The company positions AI as essential for effectively protecting organizations against increasingly complex cyber threats.
TL;DR
Sector: AI-driven binary code analysis / cybersecurity
Headquarters: London, England, United Kingdom
Flagship model: BinNet (AI model for binary machine code semantics)
Team size (approx.): 16 employees
Recent funding: $4.15M seed (announced 2025-06-26)
Company Overview
Problem Domain
Binary analysis, reverse engineering, malware research, and software supply-chain security.
Industry
Cybersecurity / AI
Tech Stack
Funding Track Record
$4.15M
Seed round with participation from investors including IQT, IQ Capital, and Episode 1.
Investor Signal
“Sands Capital Ventures, IQT, IQ Capital, Episode 1”