// CASE_STUDIES
From Vibe Code to Funded & Scaling
Real founders who transformed their AI-built MVPs into investment-ready products. See the problems, solutions, and outcomes.
// CLIENT_TRANSFORMATIONS
Security Vulnerabilities Blocked Funding
The challenge: AI-built MVP had 23 critical security issues. Investors spotted them in due diligence.
What we built: Vibe Fix Standard: Full security audit, architecture rebuild, proper auth implementation.
The security report alone saved our fundraise. Investors went from skeptical to impressed.
— Founder, FinTech Startup
Couldn't Scale Past 500 Users
The challenge: Vibe-coded analytics dashboard crashed at load. Database queries took 30+ seconds.
What we built: Vibe Fix Complex: Database restructuring, query optimization, proper caching layer.
We went from embarrassing downtime to handling 10x the load without breaking a sweat.
— CTO, B2B SaaS Company
From Idea to Launch in 8 Hours
The challenge: Needed subscription e-commerce platform. Agencies quoted 4 months and £80k+.
What we built: MVP in a Day: Full platform with Stripe subscriptions, admin panel, customer portal.
I walked in with a Notion doc. I walked out with a working business.
— Founder, DTC Brand
Legacy Codebase Strangling Growth
The challenge: 8-year-old monolith with 400k lines of spaghetti code. New features took months. Developers kept leaving.
What we built: Strategic Refactoring: Strangler fig pattern, modular architecture, automated testing suite, CI/CD pipeline.
We went from dreading every release to shipping confidently twice a week.
— VP Engineering, Enterprise SaaS
AI-Native Underwriting Platform
The challenge: Manual underwriting taking 2-3 weeks per application. Losing deals to faster competitors.
What we built: AI-Native Build: Custom LLM pipeline for document analysis, risk scoring engine, automated decision workflows.
Our underwriters now focus on complex cases. The AI handles 80% of standard applications automatically.
— Chief Underwriting Officer, Specialty Insurer
AI-Native Due Diligence Platform
The challenge: M&A due diligence requiring 200+ lawyer hours per deal. Missing critical risks in document mountains.
What we built: AI-Native Build: RAG-powered document analysis, automated risk flagging, smart contract extraction, deal room integration.
We found a £4M liability in 20 minutes that would have taken associates two weeks to spot.
— Partner, Magic Circle Law Firm
AI-Native Cinematographic Studio Platform
The challenge: Digital production workflow fragmented across 12 tools. Asset management chaos. Collaboration nightmares.
What we built: AI-Native Build: Unified production platform with AI-assisted editing, automated asset tagging, real-time collaboration, render farm orchestration.
We consolidated our entire pipeline into one platform. The AI tagging alone saves us 20 hours per project.
— Head of Post-Production, Digital Studio
Ready to Write Your Success Story?
Start with a free codebase audit. We'll tell you exactly what needs fixing.