RevEng.ai
Category: AI in Cybersecurity
An AI-driven platform for verifying software supply chain security by analyzing compiled binaries to identify malicious components and vulnerabilities without needing source code. RevEng.ai was founded in 2022. The company is led by James Patrick-Evans. Based in London, UK. Team size: Around 14. Total funding raised: $4.15M. Latest round: Seed, $4.15M, 2025-06, led by Sands Capital. Key investors include Sands Capital, Episode 1 Ventures, In-Q-Tel Capital, IQ Capital, Osney Capital.
- Founded
- 2022
- Headquarters
- London, UK
- Team size
- Around 14
- Total funding
- $4.15M
Value proposition
Automates the deep analysis of third-party binaries to detect vulnerabilities, license violations, and malicious code without access to source code, using advanced AI-driven reverse engineering.
Products and solutions
BinNet AI model: A proprietary AI technology that analyzes compiled binaries to detect threats., Automated security assessments and generation of custom YARA rules for threat detection and compliance.
Unique value
RevEng.ai leverages its proprietary 'BinNet' AI model, trained specifically on binary code patterns, to automate what was previously manual reverse engineering. This 'black box' approach provides visibility into unknown or opaque components.
Target customer
Security engineers, malware analysts, Managed Security Service Providers (MSSPs), and enterprise organizations concerned with third-party or legacy software supply chain security.
Industries served
Cybersecurity, Software Development & DevOps, Government, Financial Services, Technology
Technology advantage
The core advantage is the ability to directly analyze compiled software artifacts (binaries) without needing source code, addressing a critical gap in securing the modern software supply chain.
How they differentiate
Unlike competitors who may rely more on source-based scanning or signature databases, RevEng.ai's core innovation is its foundational AI model focused on automated binary reverse engineering, enabling detection even when no source code or prior knowledge exists.
Main competitors
ReversingLabs, GrammaTech, Jit
Key partnerships
National Cyber Security Centre (NCSC) for Startups, Intel Ignite Accelerator Program
Notable customers
Specific customers are not publicly disclosed, but the company is actively working with UK and US government agencies and Managed Security Service Providers (MSSPs).
Major milestones
Founded in 2022 Graduated from the UK National Cyber Security Centre (NCSC) for Startups program Completed the Intel Ignite 2024 accelerator cohort Secured a $4.15M seed funding round in June 2024
Growth metrics
Specific growth metrics are not publicly disclosed. The company is noted to be working with government agencies and MSSPs to scale its commercial operations.
Market positioning
Positioned as an AI-first solution for black-box binary analysis, addressing risks from opaque third-party components in the software supply chain.
Geographic focus
United Kingdom and United States
Patents and IP
No public patents listed; the company's proprietary ML models and data pipelines are held as trade secrets.
About James Patrick-Evans
James Patrick-Evans has a strong background in cybersecurity and artificial intelligence. He holds a PhD in Computer Science from Royal Holloway, University of London, where he developed the foundational technology for RevEng.ai. His professional experience includes roles as a Cyber Security Specialist at Mozilla and a Security Consultant at F-Secure Consulting, giving him a deep understanding of both academic research and industry application in the security space.
Official website: https://reveng.ai