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RevEng.AI

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Uses AI to detect vulnerabilities and malicious code in software binaries, enhancing supply chain security

London, United KingdomFounded 2021Cybersecurity
Valuation $0–100M Latest valuation · 2026
Headcount <100 Current team size
Total funding $10–50M Disclosed equity funding
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About RevEng.AI

RevEng.AI is a London-based cybersecurity firm, founded in 2022 by Dr. James Patrick-Evans, that specializes in analyzing binary code to secure software supply chains. The company operates in the cybersecurity market, targeting security engineers and malware analysts. Its core business revolves around a proprietary AI model called BinNet™, described as the world's largest of its kind for understanding the semantics of binary machine code. Revenue is generated through its AI Binary Analysis Platform, which provides detailed software analysis without requiring access to the source code.

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The founder and CEO, Dr. James Patrick-Evans, developed the foundational technology during his PhD at Royal Holloway in collaboration with Universität der Bundeswehr München. This academic background in binary analysis directly informs the company's core technology. The firm has successfully completed notable accelerator programs, including the UK National Cyber Security Centre's Startups program and the Intel Ignite 2024 cohort, which provided access to resources and commercial partners.

RevEng.AI's platform addresses the critical challenge of identifying vulnerabilities, malicious code, and backdoors in compiled software, a significant issue given that a large percentage of organizations are expected to face software supply chain attacks. The platform integrates with Linux, Windows, and Android environments and offers tools like a command-line interface and a Ghidra plugin to fit into existing developer workflows. Key features include in-depth analysis of a binary's capabilities, security assessments, and the automatic creation of YARA rules for threat hunting. In June 2025, the company secured $4.15 million in a seed funding round led by Sands Capital, with participation from In-Q-Tel Capital, IQ Capital, and Episode 1, to enhance its AI models and expand its presence in the U.S. market.

Source: Dealroom company data

At a glance

Status
Operational
Founded
2021
Headquarters
London, United Kingdom
Employees
27
Open positions
1
Dealroom signal
90.8/100
Industry
Security
Sub-industry
Cloud & Infrastructure
Sector
Coding, Core AI, Supply Chain Software, Cybersecurity, AI Model Maker, AI Applications, ai model layer
Technology
Artificial Intelligence, Deep Tech, Machine Learning
Business model
SaaS
Client focus
b2b

Latest news

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Funding history

2 recorded events

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
SERIES AEquity / VC May 2026 $15M $60M NATO Innovation Fund - NIF · Sands Capital Management · Episode 1 Ventures · IQ Capital
SEEDEquity / VC Jun 2025 $4.2M $17M Episode 1 Ventures · IQ Capital · In-Q-Tel · Sands Capital Management
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Growth signals

RevEng.AI website traffic

Latest recorded traffic for RevEng.AI is 25K monthly website visits, up 47.1% over the last three months. RevEng.AI's team grew 68.8% over the past year.

Latest monthly visits25K 3-month web change+47.1% 1-year team growth+68.8%
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Similar companies

Closest operating peers by Dealroom taxonomy

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Investors

5 investors on the cap table

From Dealroom's funding and investor records, grouped by the round each investor first entered.

Seed4 investors entered at this stage

Series A1 investor entered at this stage

  • NATO Innovation Fund - NIF
Team profiled 5 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 1 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
2 countries with
team presence
🇬🇧 United Kingdom90.9%
🇩🇪 Germany9.1%
2 countries shown

Market sentiment

Posts on X, past 7 days

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Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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