Data for your processes
The AI creates suitable tables and connects them to your workflows.
With the data modeler, you build the data, user interfaces and logic along with it. On a visual canvas or in a conversation with your AI assistant.
Tables, fields and relations sit on a clear, visual canvas. You see how your data fits together and change it in a few clicks.
Labels are maintained in several languages, selection lists centrally in one place.
Through an open interface (MCP), AI assistants such as Claude or Codex work directly in the platform. You say what you have in mind – the application takes shape in the dialogue.
The AI creates suitable tables and connects them to your workflows.
From a single form component to a complete application. Your components run directly in process forms or as a menu item of their own for your staff.
Server-side functions are created on request, too.
New components are ready in your test environment as soon as they are done.
The AI works by clear rules.
Before the AI creates anything new, it checks what already exists.
Changes to the data model are traceable and deployed safely – even when the tables already hold data.
Third-party components are automatically checked for permitted licences.
Workflows, data models and components go into one package together.
You deploy the package to your production system with a preview.
For each group, you decide who may only view data and who may also edit it.
Business, IT and AI on one shared canvas.
Send us a complex process. It does not have to be your internal one – an invented one, a publicly documented one, one from an old manual. Anything with roles, deadlines and approvals. The trickier, the better.
You get it back: built, played through by every role, with the test report and with test accounts. If your process needs tables of its own, the AI creates them along the way.
What you get and what you do not: Frequently asked questions