Technical Audit for your SaaS & AI Products
Technical Audit for your SaaS & AI Products
Our deep-dive technical audit reveals structural, performance, and security issues before they become costly. You'll receive a prioritized report with clear, actionable insights to boost stability, scalability, and engineering productivity.
We evaluate the overall system design to identify potential bottlenecks, poor choices in patterns, or scaling limitations.
1.1 System Overview & Component Analysis
We break down your product into core services and modules, mapping how components interact and where dependencies create risk.
1.2 Technology Stack Evaluation
We assess if your stack is modern, maintainable, and suited to your scale and product goals—highlighting outdated libraries, runtime issues, and ecosystem risks.
1.3 Architecture Patterns Review
We examine the use of architectural principles such as microservices, event-driven designs, or monoliths—and whether they're applied effectively.
1.4 Basic Scalability Assessment
We look at how your app handles scale, from load balancing to concurrency limits—providing an early warning on growth bottlenecks.
Clean, maintainable code is foundational. We evaluate the structure, patterns, and maintainability of your codebase.
2.1 Code Structure & Organization Review
We assess how your code is modularized, named, and structured—checking for consistency, separation of concerns, and readability.
2.2 Design Patterns Implementation
We review usage of common patterns (e.g., MVC, repository, factory, strategy), and identify areas of over-engineering or under-architecting.
2.3 Technical Debt Identification
We identify shortcuts, legacy blocks, and patchwork that may slow future development or introduce bugs under pressure.
2.4 Code Maintainability Assessment
We rate your codebase's ease of testing, onboarding, extensibility, and long-term ownership—quantifying how hard it is to work with.
3.1 Performance Bottleneck Identification
We simulate and analyze stress scenarios to pinpoint where requests fail, queues build, or resource usage spikes.
3.2 Database Query Optimization Review
We assess query speed, indexing strategy, joins, and database normalization—highlighting slow or redundant operations.
3.3 API Response Time Analysis
We measure latency, throughput, and request patterns across your APIs—identifying inefficient endpoints and data over fetching.
3.4 Memory Usage Assessment
We track memory allocation and garbage collection issues to uncover memory leaks or inefficient caching layers.
Secure code is non-negotiable. We assess your system for vulnerabilities that could expose your users or platform to risk.
4.1 Security Vulnerability Scan
We scan for known CVEs, package vulnerabilities, outdated dependencies, and common security misconfigurations.
4.2 Authentication & Authorization Review
We evaluate your login, token, and role management implementations—highlighting flaws in session management or access control.
4.3 Data Protection Assessment
We check encryption, storage, and transmission mechanisms for PII, credentials, and customer data—ensuring compliance with best practices.
Good documentation reduces onboarding time, supports compliance, and lowers long-term maintenance risk.
5.1 Architecture Documentation Assessment
We assess the availability and clarity of architecture diagrams, system context, and interface descriptions for your current system.
5.2 Missing Documentation Identification
We identify gaps—like lack of API specs, onboarding instructions, or CI/CD workflows—that slow down engineering velocity or knowledge transfer.
An executive summary report for C-Suite, focusing on critical gaps if any.
A detailed comprehensive audit report covering all areas above.
A risk heatmap to prioritize fixes
Actionable recommendations and modern best practices