AI-Assisted Software Reverse Engineering Services
Lost source code, undocumented systems, closed third-party software: our engineers use AI agents to find out how it works, verify every finding against the running original, and turn it into documentation you can build on.
Key numbers
This is for you if
The source code is lost, incomplete or out of date
The people who built the system have left, and so has the knowledge
You need to integrate with a system that has no API or documentation
You’re planning a migration but don’t know what the old system really does
You’ve acquired software, or its vendor has stopped supporting it
You need to verify what a third-party app actually does with your data
Our reverse engineering services
We work out how software behaves from the software itself, then turn those findings into something your team can use: documentation, specifications, integrations or rebuilt code.
Legacy system analysis
Map how an undocumented system really behaves: business rules, data flows, dependencies and edge cases, recovered from the code or the compiled program itself.
Output: system documentation, architecture and data-flow diagrams, and a catalogue of business rules.
Source code recovery and reconstruction
When source code is lost or incomplete, we recover the logic from compiled software and rebuild it as readable code that behaves exactly like the original.
Output: reconstructed code with tests that compare its behaviour against the original.
API and protocol reverse engineering
Understand undocumented APIs, network protocols and file formats, so your systems can integrate with closed or legacy software without waiting on the vendor.
Output: an interface specification and a working integration prototype.
Migration and modernisation readiness
Before you rewrite or migrate, we establish what the current system actually does, so nothing important gets lost in the move.
Output: a verified functional specification and a scoped modernisation roadmap.
Third-party and acquired software review
Find out what a vendor application, acquired product or inherited codebase really does, including its dependencies, data handling and risks, before you rely on it, with the owner’s authorisation where the software is not yet yours.
Output: a technical due diligence report with risks rated by severity.
Rebuild and extend
Turn findings into working software: rebuild a feature, replace a vendor component or extend a legacy system, using the verified specification as the blueprint.
Output: working software, tested for parity with the original behaviour.
What we can analyse
Installed software and services, analysed to recover functions, logic and dependencies, even without the source code.
iOS and Android apps, including their business logic, network calls and on-device data storage.
What happens when a user clicks: captured requests, scripts and responses, compared across runs to isolate the logic you need.
Software running on devices and hardware, analysed to understand its logic, protocols and integration points.
Undocumented schemas and proprietary file formats, decoded so your data can be read, migrated or integrated.
Have a system nobody can fully explain?
Tell us what you need to understand. We’ll tell you what’s realistic to recover, and how long it will take.
How AI-assisted reverse engineering works
Steps 2–4 run as a loop: each round of analysis, verification and documentation goes deeper, until you have the answers you need.
Responsible reverse engineering
Reverse engineering is lawful and routine when it’s done for legitimate purposes by someone with the right to analyse the software. We only analyse software you own or are authorised to examine, and we ask you to confirm this in writing before any work starts.
What we do
- Analyse software you own or have the right to examine
- Recover your own lost source code and documentation
- Enable interoperability with systems you’re licensed to use
- Run authorised technical due diligence and security reviews
- Work under NDA, in isolated environments
What we don’t do
- Bypass DRM, licence checks or anti-cheat systems
- Copy or clone another company’s proprietary product
- Access systems or accounts you aren’t authorised to test
- Help work around licence terms or applicable law
Why teams choose Ralabs
for reverse engineering
AI speed, engineer-verified
AI agents do the heavy lifting. Senior engineers verify every finding before it reaches your report.
From findings to working software
We don’t stop at a report. The same team can document, integrate, modernise or rebuild what we uncover.
Built for legacy and regulated systems
A decade of fintech, healthtech and enterprise integration work, including systems older than their documentation.
Confidential by default
NDA from day one, isolated analysis environments and strictly limited access to your code and findings.
Related case studies
Team size: 7 developers
Team size: 4 developers
Team size: 5 developers
Team size: 2 developers
Let’s look at your system
Tell us what you have, whether it’s a binary, an app, a database or a half-documented repo, and what you need to know. You’ll get an honest read on what’s recoverable within one business day.
Yevhen Kulinichenko
Head of Technology at Ralabs
FAQ
Software reverse engineering means working out how a program is built and how it behaves by analysing the software itself: its source code where available, its compiled code and its behaviour at runtime. The goal is to understand a system well enough to document it, integrate with it, fix it or rebuild it.
Often, yes, within limits. If you hold the rights to the code, for example because it was developed for you, no legal exception is needed to analyse it. For licensed software, EU law (Directive 2009/24/EC) allows a lawful user to observe and test how a program works (Article 5(3)), to correct errors (Article 5(1)), and to decompile it where this is indispensable to achieve interoperability with an independently created program (Article 6).
Licence terms and local law can still restrict what is permitted, so before work starts we ask you to confirm in writing that you own the system or are authorised to analyse it. As a matter of policy, we do not circumvent technical protection measures on third-party software, even where the law may permit it, and we do not reproduce third-party products.
Yes, with limits. AI agents connected to professional reverse engineering tools can map functions, trace data flows and draft readable code far faster than manual analysis. But AI can misread obfuscated or unusual code, so every finding still needs to be verified by an experienced engineer against the original.
No, it changes what they spend time on. AI takes over the slow, repetitive parts of analysis. Engineers focus on judgment: deciding what matters, verifying findings and turning them into documentation or working software. That combination is faster and more reliable than either alone.
We can recover the logic and rebuild it as readable, tested code that behaves like the original. What can’t be recovered is what compilers discard, such as original comments and some variable names, so reconstructed code is rewritten for clarity and checked against the original behaviour.
REA (Reverse Engineer Anything) is an open-source toolkit that lets AI coding agents work with professional reverse engineering tools. It’s one of the toolkits our process is built around, and every result it produces is verified by our engineers.
We take specific measures to protect it. Analysis runs in isolated environments under NDA, with access limited to the engineers on your project. Before work starts, we agree with you how your code and data will be handled, including which AI tools may process them.
It depends on the size of the system and what you need to recover, so we scope every project after a short discovery call.
A legacy audit assesses the health of a codebase: its quality, risks and technical debt. Reverse engineering answers a different question: how the system actually works, especially when the source code, documentation or the people who knew it are missing.
