
Software Takeover in Nottingham.
Your developer left, your freelancer stopped replying, or your agency closed the account. We take over existing software projects in Nottingham, UK, work out what was built, fix what is broken, and keep it running.
Code review before any commitment • Fixed GBP quote • You keep 100% code ownership

Areas in Nottingham
Codebase Rescue
A practical software takeover plan for Nottingham
When a developer leaves, a Nottingham business is rarely short of code — it is short of someone who understands it. We start with the risks, workflow and measurable outcome that matter to your team, then scope the smallest production-ready step for the Nottingham market.
- Review the current software takeover workflow and codebase
- Prioritise security, reliability and compliance for UK
- Leave you with a written scope, risks and next delivery step
Get a Nottingham Quote in 24 Hours.
Tell us about your project. A senior engineer — not a salesperson — reviews your brief and sends a scoped, fixed-price proposal in GBP within one business day.
- A senior engineer reviews your Nottingham codebase — not a salesperson
- Fixed-price GBP proposal after the code review
- Clear verdict: take over, partly rebuild, or rewrite
- Notes on UK GDPR gaps found in the code
Get Your Nottingham Quote
Share your project details — a senior engineer replies with a scoped, fixed-price GBP proposal within 24 hours.















Software Takeover in Nottingham, UK
When the only person who knew the code leaves, releases stop, bugs pile up, and nobody wants to touch production. We start by securing access to the repository, hosting, domain, and database, then audit the codebase, write the documentation that was never written, and fix the issues that block your next release. After that we either hand a clean, documented project to your own team or stay on as your development team on a monthly retainer. Every takeover gets a fixed GBP quote after the initial code review, before any paid work starts.
Industries We Serve in Nottingham
The industries shaping Nottingham's economy — and the AI-powered software we build for them.
Fintech & Financial Services
FCA-regulated apps, payment platforms, and financial technology.
Gaming & Interactive
Game platforms, interactive entertainment, and digital experiences.
Health & Life Sciences
NHS-aligned health platforms, clinical systems, and life science technology.
E-commerce & Retail
High-conversion platforms and D2C technology.
Creative & Digital
Content platforms, digital agencies, and creative technology.
Manufacturing & Logistics
Production monitoring, supply chain, and logistics platforms.
Software Takeover Developers in Nottingham
Hiring a new developer for an undocumented codebase usually means paying them for weeks to read code before they ship anything. A takeover team does that discovery in a structured way: architecture map, dependency list, deployment guide, and a prioritised bug list. For Nottingham companies, that means you know within the first week what you own, what is risky, and what it will cost to move forward — whether the original code came from a freelancer, an agency, an in-house developer, or an AI coding tool.
AI-Built App Problems We Fix for Nottingham Teams
Each AI builder has its own habits. Knowing them tells us where to look first, which is why most audits find the serious problems on day one.
What we find
Supabase tables with Row Level Security turned off or set too loosely, so the public key in the browser can read or change other users' data. A 2025 vulnerability report (CVE-2025-48757) found this pattern on many Lovable-built sites.
What we do
We write RLS policies table by table, move sensitive logic into edge functions, and test access as a logged-out user and as a second account.
What we find
Secret keys stored in client-side environment variables (anything prefixed VITE_ ends up in the browser bundle), and long fix-it prompt loops that leave duplicate components and dead code behind.
What we do
We move secrets to the server, rotate the exposed ones, and remove the duplicated code so the next change does not break three other screens.
What we find
One database shared by development and production, so an agent's test run or migration touches live data. In July 2025 a Replit agent deleted a founder's production database during a code freeze, which made this risk widely known.
What we do
We separate development and production databases, add automated backups with a tested restore, and limit what an agent can run against production.
What we find
Large AI-written changes merged without review: the same logic written three different ways, dependencies nobody chose on purpose, and no tests to show what an edit broke.
What we do
We add tests around the main user flows, remove unused dependencies, merge the duplicated logic and set up pull-request checks before anything reaches production.
v0 app rescue
Next.js
What we find
Server actions and API routes generated without an authentication or ownership check, so anyone who finds the endpoint can call it.
What we do
We add session and ownership checks to every server action and route, plus input validation and rate limits on public endpoints.
Already seeing these problems? Our vibe-coded app rescue fixes them in 2-4 weeks, or start with a vibe-coded app audit.
Rescue or Rebuild? How We Decide
Not every AI-built app is worth saving. We tell you which side yours falls on after the audit, before you pay for fixes.
Rescue makes sense when
- The main user flows work, they are just fragile
- Data sits in a real database with sensible tables
- The stack is mainstream (React, Next.js, Supabase, Firebase, Postgres)
- Problems are concentrated in auth, security, payments or performance
A rebuild is cheaper when
- Login, payments or permissions only exist in the frontend
- Data is stored in local storage, JSON files or one giant table
- Every fix breaks something unrelated, even after cleanup
- The app has to meet a compliance standard the current design cannot reach
Worth saving? See vibe-coded app rescue. Better to rebuild? A rebuild keeps your designs, copy and lessons from the first version, so it is usually much faster than the original build. See prototype to product.
More AI Services in Nottingham
We Also Serve
London
UK
FCA & UK GDPR-compliant AI code engineering.
Manchester
UK
Media, fintech & creative AI engineering from the North.
Birmingham
UK
Manufacturing, e-commerce & enterprise AI engineering.
Leeds
UK
Fintech, legaltech & healthtech AI engineering.
Auckland
New Zealand
Software Takeover for teams in Auckland and across New Zealand.
Wellington
New Zealand
Software Takeover for teams in Wellington and across New Zealand.
Christchurch
New Zealand
Software Takeover for teams in Christchurch and across New Zealand.
Dubai
UAE
Our home market — AI-native engineering across the UAE.
Common Questions
Every takeover gets a fixed GBP quote after the initial code review, before any paid work starts. The quote depends on codebase size, how much documentation exists, and how many urgent bugs need fixing first.
Emergency stabilisation — critical bugs and security fixes — can be done within 48 hours of getting access. A standard takeover with a full audit, documentation, and stabilisation takes 2–4 weeks; larger reconstructions take 4–8 weeks.
Yes. We work from the code, server, and database directly and reconstruct the architecture and deployment process. What you need is legal control of the accounts — repository, hosting, domain, and third-party services. If you are missing some of those, recovering them is our first step.
Yes. We compare what was built with what was promised, list the gaps, and give you a fixed quote to finish — so you can decide whether completing the existing build is cheaper than starting again.
Yes. The repository, hosting, and all credentials stay in your company's name. We also check your previous contract assigns the code to you, because that is often where ownership problems start.
Yes. The audit flags how personal data is stored, who can access it, and whether logging exists, so you know where the code stands against UK GDPR before it causes a problem.
Artificial Intelligence in Practice
Sourced background on AI adoption across industries.
Artificial intelligence systems learn from data to perform tasks — such as language understanding, image recognition and decision support — that typically require human intelligence.[1]
Generative large language models can draft text, answer questions and automate routine conversations, making them widely used for customer support and content production.[2]
Sources & References
- [1]Artificial intelligence — Wikipedia · en.wikipedia.org/wiki/Artificial_intelligence
- [2]Large language model — Wikipedia · en.wikipedia.org/wiki/Large_language_model
Stuck software project in Nottingham?
Tell us what happened and where the code lives. A senior engineer reviews it and comes back with a takeover plan and a fixed GBP quote.
Tell us about your project
- We respond within 12 hours
- NDA available on request
- Dedicated consultant specialists
WhatsApp Us
+971 54 483 2290Direct Email
[email protected]