We bring the apps you built with your AI into your company
We take the apps and prototypes your teams built with Claude, ChatGPT, Lovable or Cursor and turn them into real applications: with your users, your data and a safe place to run.
The prototype works. Then come the real questions.
Today a prototype gets built in an afternoon and runs on the laptop of whoever made it. To use it in your company you need to know who gets in, where the data lives and who updates it. And the code has to be checked: 45% of coding tasks given to AI produce code with security vulnerabilities.
Who can open it, and who can't?
Access for authorised users only
Where do the data, and the keys, end up?
Data in Europe or on your servers, secrets out of the code
Who updates it when it breaks?
Deploy from git and rollback to the previous version
How many are already out there without IT knowing?
Every app registered and tied to its project
From vibe coding to enterprise software
AI Productization is Meshble's service that takes vibe-coded applications to production, meaning apps written by describing to an AI what you want instead of programming them by hand. We audit the app, turn it into software with real data, secrets kept out of the code and tests, and deploy it on our stack with access limited to authorised users.
Audit
We analyse each app and tell you what to keep, what to fix and what to rebuild, looking at security, data and dependencies.
Transformation
We replace mock data with real data, take the secrets out of the code, write the tests and put the source on git.
Deployment
We deploy the app from git to an HTTPS address, with access limited to authorised users.
Where it runs: our stack
Every app we take to production runs under the same rules: who gets in, where the data lives, how it's updated and how it rolls back.
- Access limited to authorised users, with permissions managed in one place
- Every app registered and tied to the client and the project
- Deploy from git with automatic updates and rollback to the previous version
- Tracked releases, with who made them and what changed
- Data in Europe or on your servers, your choice
- No per-user licence, no vendor lock-in
For anyone with an app to take to production
IT teams
To bring order to the apps born with AI.
Departments
To secure the internal tools they built with AI.
Founders
To get an MVP working with real customers.
Software houses
To offer the same service to their own clients.
Each phase is bought separately
- Audit
- fixed price
- Transformation
- per app
- Platform and management
- monthly fee
Bring us an app: we'll tell you what it takes to put it in production.
Bring us an appVibe coding in the enterprise
What is vibe coding?
It's building an app by describing to an AI what it should do, instead of writing the code by hand. With tools like Claude, ChatGPT, Lovable or Cursor a working prototype takes a few hours, even for people who aren't developers.
Can I use an app built with Lovable or ChatGPT in my company as it is?
Usually not. The prototype works, but it often has mock data, keys written into the code, no control over who gets in and no tests. Before it goes to colleagues or customers we check it and secure it: that's what AI Productization does.
Do I have to rebuild the app from scratch?
No. With the audit we tell you, app by app, what to keep, what to fix and what to rebuild. Whatever works stays.
Which AI tools do you work with?
All of them. We work on the code the app produces, whether it came from Claude, ChatGPT, Lovable, Cursor or others.
Where does the app run once it's in production?
We deploy it on our stack, with data in Europe, or on your servers: you choose. Either way access is limited to authorised users and every release is tracked. If the AI itself has to run inside your perimeter, there's Meshble Private AI.
Read about Private AIAre there per-user licences?
No. There are no per-user licences and no vendor lock-in: the source is on git and stays yours.
Bring us an app
We'll tell you what it takes to put it in production: what to keep, what to fix and where to run it.

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