Security
Is anything exposed?
- Secrets and API keys out of the code
- Sign-in, sessions and role checks
- Inputs validated, dependencies patched
Your app works in a demo. We read the code, find what would break with real users and real data, and fix it in order of risk: security first, then tests, data and performance. You keep what works.
What we see most often in apps built with AI tools, and what the cleanup changes.
It breaks when two people use it at once
Sessions, data and requests that hold up with many users
Every new feature breaks an old one
Tests on the flows that matter, so changes stop breaking things
Keys and secrets sit in the code or the browser
Secrets moved to the server, keys rotated, access locked down
Nobody can explain how it works
A cleaned-up structure and a written map of the code
It gets slower as data grows
Queries, pages and calls tuned where the audit finds the cost
A security review or due diligence is coming
A clear report of what was found and what was fixed
Four areas, each checked and then fixed in order of risk.
Is anything exposed?
Can it be changed safely?
Will the data hold up?
Will it stay up with real users?
Plus the handover: documentation and a map of the code, so your team or ours can keep building on it.
Nothing changes in your code until you have seen the audit and agreed the plan.
First
We get read access, run the app, and review the code, hosting, data and dependencies against what production needs.
You get A written audit with every finding ranked by risk
Then
For each part of the app we recommend keeping it, fixing it or rebuilding it, with the reason and the effort.
You get A fix plan and a scoped estimate
Then
Our engineers fix the findings in order of risk and add the tests, checks and monitoring the app was missing.
You get Fixes reviewed and merged, with a record of each
After
We help you release safely, then hand over with documentation, or keep supporting and building the app with you.
You get A production-ready app and a clear handover
Most AI-built apps have parts worth keeping. The audit shows which, so you pay only for what needs work.

Parts that are sound: we leave them, add tests around them and document how they work.
Best for Screens and flows that already work well
Parts with problems that can be put right in place: security gaps, fragile code, slow queries.
Best for Most of a typical AI-built app
Parts that would cost more to fix than to write again properly. We explain why before we touch them.
Best for A data model or core logic that cannot be made safe
Figures from products our engineers built and support.

99.9%
uptime / reliability
Mission-critical push-to-talk for stadiums, arenas and emergency services.

62%
reduction in documentation time
AI clinical documentation that turns therapy sessions into structured notes and SOAP reports.

98%
Real-Time telemetry accuracy
Real-time air quality intelligence and compliance reporting for hospitals and clinics.
A very client centric company with incredible top executives. They have years of experience and outstanding knowledge. Never faced an issue with scheduling meetings, or change notifications.
AI tools mostly build on the same popular stacks. If your app runs on one of these, we can pick it up.
What founders and teams ask before they hand us an AI-built app.
It is a review of an app that was built mostly with AI tools, followed by the work to fix what the review finds. We check security, code structure, data handling, performance, tests and monitoring, rank every finding by risk, then fix the findings so the app is ready for real users.
Apps built with Lovable, Bolt, Replit, Cursor, v0 and similar tools, or with a general AI assistant. What matters is the code and the stack it runs on, not the tool that wrote it.
Only the parts that would cost more to fix than to rebuild, and we tell you which and why before any work starts. Most AI-built apps have screens and flows worth keeping.
A written report of what we found, ranked by risk, with a keep, fix or rebuild recommendation for each part of the app and a scoped estimate for the cleanup.
It depends on the size of the app and what the audit finds, so we give a timeline with the fix plan. The audit comes first, and you see its findings before any cleanup is agreed.
We price after a short scoping call and the audit, because the cost depends on what needs fixing. You get a written estimate with milestones before anything is signed.
Yes. We sign an NDA before we see your idea or your code, work with the access you give us, and you own the code and everything we add to it.
Yes. The same engineers can keep it running and keep building features, or hand it over to your team with documentation and a map of the code.
Tell us what the app does and what worries you about it. An engineer replies within one business day with the first step.
No obligation. We reply within one business day.