AI-Powered Binary Analysis and Reverse Engineering Platform
RevEng.ai is an advanced AI-powered reverse-engineering and malware analysis platform designed to bring cutting-edge automation to one of cybersecurity’s most complex and labor-intensive disciplines.
At its core is BinNet, the company’s proprietary large-scale AI model for binary machine code, billed as the world’s largest model trained specifically to understand the semantics of compiled binaries. By interpreting software at the machine code level, RevEng.ai enables deep inspection, vulnerability detection, and behavioral analysis without requiring access to source code, dramatically expanding the reach of security validation across opaque or third-party components.
The platform provides unified capabilities for malware analysis, software supply chain security, SOC automation, and threat hunting. Analysts can upload binaries to receive automated reports that detail functions, capabilities, interactions, and potential security implications. Features such as stateful binary investigations, AI-generated YARA rules, and automated clustering of malware families help teams keep pace with an expanding threat landscape in which over 300,000 new malware samples appear every day — most of them never seen twice. RevEng.AI’s interface organizes analyses, collections, and activity history into an operational workspace suited for both enterprise SOCs and research teams.
RevEng.ai also integrates natively with existing tooling. Plugins for IDA Pro, Ghidra, and a dedicated CLI toolkit allow analysts to bring AI-assisted reverse engineering into their existing workflows without disruption. This extensibility enables organizations to augment skilled human analysts rather than replace them, enhancing speed, accuracy, and throughput at scale.
With use cases spanning incident response, vulnerability research, supply chain validation, and automated SOC triage, RevEng.ai sits at the forefront of AI-enhanced binary analysis, providing the kind of visibility and depth once achievable only by expert reverse engineers.
RevEng.ai announced the completion of a $4.15 million seed funding round in June 2025. The round was led by Sands Capital with participation from In-Q-Tel Capital, IQ Capital, and Episode 1.