RevEng.AI

What RevEng.AI does

RevEng.AI specializes in developing foundational deep learning AI models that understand binary machine code semantically and syntactically. The platform rigorously validates the integrity of software supply chains at a binary level, ensuring security and trustworthiness in digital ecosystems. It provides a binary intelligence platform for security operations, threat research, and product security teams to analyze millions of unknown executables without source code or sandboxing delays. RevEng.AI builds world-leading foundational AI models for reverse engineering and binary analysis, allowing users to detect security threats and weaknesses in compiled software without requiring access to source code. Their two flagship models focus on Reverse Engineering & Source Code Recovery and Binary Analysis. The platform, powered by BinNet, analyzes released software in production to identify novel vulnerabilities, novel malware, and other hidden security threats.

Products

• RevEng.AI PlatformA binary intelligence platform trusted by security operations, threat research, and product security teams to analyze millions of unknown executables without source code, sandboxing delays, or compromise. It offers a single binary intelligence fabric with four production-grade capabilities.
• Agentic Malware AnalysisAutonomous threat investigation at machine speed.
• Semantic Code SearchFinds functionally similar code across any binary.
• AI DecompilationGenerates human-readable code from compiled executables.
• Automated RemediationAutomatically generates YARA rules.
• BinNetA foundational AI model for binary analysis that powers the RevEng.AI platform.

Key capabilities

• Foundational deep learning AI models for binary machine code
• Validates software supply chain integrity at a binary level
• Analyzes millions of unknown executables without source code
• No sandboxing delays
• Reasons directly on stripped binaries
• Recovers structure that signature engines miss
• Sovereign by default (on-prem, air-gapped, or in VPC deployment options)
• Native plugins for IDA Pro, Ghidra, Binary Ninja
• REST API, Python SDK, STIX/TAXII integration
• Official SDKs and community plugins for integration
• Median end to end analysis of 183
• 99.4% malware family attribution precision
• Faster than manual reverse engineering
• Analyzed 1.4 binaries in the global corpus
• Automates binary analysis
• Detects security threats and weaknesses in compiled software without source code
• Reverse Engineering & Source Code Recovery (turns compiled binaries into readable source code)
• Binary Analysis (understands functional behavior of a file rather than matching signatures)
• Identifies novel vulnerabilities, novel malware, and hidden security threats

Use cases

• Vulnerability research (discovering exploitable weaknesses in compiled software)
• Third-party software assurance (verifying vendor software behavior without source access)
• Supply chain management (continuous assurance across multi-tier suppliers)
• DevSecOps & CI/CD (binary checks built into development pipelines)
• Modernisation & integration (recovering and integrating legacy binaries)
• Component firmware analysis (assuring device firmware on individual components)
• Agentic Malware Analysis
• Semantic Code Search
• AI Decompilation
• Automated Remediation

AI approach

RevEng.AI develops foundational deep learning AI models that understand binary machine code semantically and syntactically. Their AI rigorously validates software supply chain integrity at a binary level. They build world-leading foundational AI models for reverse engineering and binary analysis, allowing users to detect security threats and weaknesses in compiled software without requiring access to source code. Their flagship models focus on Reverse Engineering & Source Code Recovery and Binary Analysis.

Tech named: deep learning AI models, BinNet

Industries served

• Computer and Network Security
• Enterprise Cyber Security Teams
• NATO & Allied Governments
• Defense Primes
• Hyperscalers and Big Tech
• Global MSPs, MSSPs & Telcos

What it says sets it apart

• Built by reverse engineers for Tier 1 SOCs
• Understands compiled software at the speed and scale of actual threats
• No source code required
• Reasons directly on stripped binaries, recovering structure signature engines miss
• Sovereign by default: on-prem, air-gapped, or in VPC deployment
• Integrates with existing toolchains (IDA Pro, Ghidra, Binary Ninja, REST API, Python SDK, STIX/TAXII)
• Focus on foundational AI models for reverse engineering and binary analysis
• Transforms software supply chain security from reactive investigation to proactive verification
• Prevents malicious functionality from entering operational environments
• Eliminates software supply chain threats
• Identifies novel vulnerabilities and malware

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.