An Objective Look Under the Hood of Your Product.
Identify security vulnerabilities, architectural bottlenecks, and invisible tech debt before they impact your clients or bottom line.
When codebases grow quickly, quality slips. Features take longer to ship, bugs reappear unexpectedly, and you lose confidence in your foundation. You need a rigorous, third-party assessment to separate real architectural threats from minor developer complaints.
Our Clients
Service Offer Description
An honest look at what you have built and what it will cost you.
We read your codebase the way a new engineer would on day one. Then we tell you what is good, what is risky, and what needs to change. You get a prioritised report with effort estimates — not a list of complaints.
Audit Process
We hate unnecessary complexity just as much as you do. Here is our straightforward process
Context & Briefing
We discuss your current technical frustrations, system history, and future product goals.
Deep-Dive Code Analysis
We run automated vulnerability scans and manually review core files for patterns, testing coverage, and architectural health.
Risk Prioritization
We catalog findings not as a list of complaints, but by actual business impact and fixing effort.
Report Walkthrough
We present our findings and hand over an actionable roadmap your team can start implementing immediately.
We sign a comprehensive Non-Disclosure Agreement (NDA) before you grant any repository access. Your source code remains strictly confidential and is never stored on our local systems long-term.
No. Our goal is to be constructive, not elitist. Every codebase has issues due to changing deadlines. We focus on finding what is risky or slow, explaining *why*, and showing you how to fix it pragmatically.
Featured projects & Case Studies
Real problems solved. Real results delivered.
We don't just talk about building great backends. Here's proof..
97%
Fintza's checkout setup was dropping 30% of sales due to server timeout errors. We engineered a new payment API with resilient retry patterns and background queues, pushing transaction success up to 97%.
60%
Patient profiles were scattered across three different internal software silos, slowing down daily operations. We built a single data access gateway that unifies records onto one screen in under two seconds.
5000+
Plurial's old school database routinely crashed under heavy load during student registration weeks. We built an event-driven registration engine that processed 5,000 sign-ups with zero lag.