Software Development
A technical audit from Grapefruit is an independent review of your platform's code quality, architecture, infrastructure, performance, security and compliance, delivered in 2 to 3 weeks. You get a prioritised report of risks and fixes, migration or rebuild options with effort ranges, and a view of whether your data and APIs are ready for AI features.
Clients for this service: Related practice work for Renault Romania, Dacia, BCR Școala de Bani
Quality, maintainability, technical debt and architectural risks.
Core Web Vitals, server response and bottlenecks under real conditions.
Dependencies, authentication, configuration and data exposure risks.
GDPR, cookies and consent, accessibility basics and relevant standards.
Whether your systems can support AI features safely.
Fix, refactor, re-architect or replace, with effort ranges and a recommendation.
2-3 days
Goals, access to code and environments, stakeholder interviews.
You get: Audit scope
1-2 weeks
Code, architecture, infrastructure, performance and security review.
You get: Findings log
3-5 days
Prioritised fixes and strategic options with effort ranges.
You get: Audit report · Options and estimates
1 session
Walkthrough with your technical and business stakeholders.
You get: Readout presentation · Next-step plan
AI in this service
We use AI-assisted static analysis to scan large codebases faster and surface patterns worth a human look, which leaves senior engineers more time for architecture and risk judgement. Every audit also checks AI readiness: data quality, API coverage and security boundaries that decide whether assistants or automation can be added safely.
Proof
Renault Romania · Automotive
+20% website traffic
Dacia · Automotive
BCR Școala de Bani · Banking & Financial Services
“We created the Money School platform for all those people who need practical instruments and resources to learn how to better plan their money and what they can do starting from tomorrow to become more financially intelligent.”
Know the real state of your platform before you invest in it.
See where your company stands on AI in 10 minutes, and what to fix first.
Cannot find your question? Ask a senior specialist directly.
Code quality and technical debt, architecture, infrastructure and hosting, performance, security, compliance (GDPR, cookies, accessibility basics) and the readiness of your data and APIs for AI features. Scope is agreed at the start, so the audit focuses on the questions behind your next decision.
Before a major launch, migration, redesign, vendor change or investment round, when stability or performance problems keep returning, or when you inherit a platform from another team. It is much cheaper to know the real state before committing budget than after.
Typically 2 to 3 weeks from access to readout. Very large platforms with many integrations or several applications may need longer; we confirm the timeline during scoping.
Read access to code repositories, a staging or production environment, hosting and infrastructure information, existing documentation and one or two technical contacts for interviews. We sign an NDA before any access and follow your security rules.
Actionable recommendations. Findings are prioritised by risk and business impact, with a suggested fix and effort range for each, plus strategic options if the platform needs more than fixes. You can implement them with us, in-house or with another vendor.
Yes. We review dependencies, authentication and session handling, server and cloud configuration, data exposure and common vulnerabilities based on OWASP guidance. A technical audit is not a full penetration test; if one is needed, we tell you and scope it separately.
Technical Lead · talk to us about technical audit
Tell us what you need and by when. A senior specialist replies with a clear next step, not a sales deck.
We reply within 1 business day, usually the same day. Not ready to talk? Take the free AI assessment.
