James Patrick-Evans
CEO
RevEng.AI
RevEng.ai offers an AI-powered binary analysis platform that utilizes its proprietary BinNet™ model to analyze and verify the integrity of binary machine code. This technology enables organizations to detect known and unknown vulnerabilities in their software supply chain without requiring access to the source code.
- Artificial Intelligence
- Cybersecurity
- Developer Tools
- Software Only
Updated 5 months ago
Funding
Raised to date
$19.5MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 2 rounds
EOIQ+1$15M · Series A
Announced May 2026 · from article date
Disclosed cumulative: $15M
Not on chart (date unknown): Seed $4.2M
RoundDateAmountValuationInvestors
Founders
Product
Problem
Analyzing binary machine code for vulnerabilities and verifying software supply chain integrity is challenging, especially without access to source code. Traditional methods struggle to keep pace with the increasing volume and complexity of modern software, leaving organizations vulnerable to both known and unknown threats.
Solution
RevEng.ai offers an AI-powered binary analysis platform that addresses these challenges by leveraging its proprietary BinNet™ model. This platform enables organizations to analyze and verify the integrity of their software supply chain, detecting known and unknown vulnerabilities in binary software without requiring access to source code. The platform provides detailed insights into software, including advanced analysis, in-depth function capabilities, and robust security assessments. By automating security operations center (SOC) tasks and simplifying threat hunting, RevEng.ai helps organizations stay ahead of potential threats.
Target Audience
The primary target audience includes reverse engineers, malware analysts, and threat hunters who need to analyze binary code for security vulnerabilities and ensure software supply chain integrity.
Features
- AI-powered binary analysis using the proprietary BinNet™ model
- Detection of known and unknown vulnerabilities in binary software
- Software supply chain security analysis without source code access
- Detailed analysis reports providing insights into binary security status
- Function capability exploration, including interactions and security implications
- Automated YARA rule creation based on AI analysis for simplified threat hunting
- Seamless integration with industry-standard tools like IDA Pro, Ghidra, Cutter, Rizin, Binary Ninja, and Splunk
- Support for GNU/Linux, Windows, and Android binaries
- Command Line Interface (CLI) tool for power users