01
Orchestration
The Hub assigns each job to a local or cloud model based on your rules — sensitivity, size, and task type. One decision layer instead of ad-hoc tool picking.
Product
One hub that treats AI as a system, not a chat window.
Mainsches Hub combines model orchestration, file handling, workflows, and permissions in one workspace. This page explains the pieces and how they fit.
Product
The four building blocks
02
Files
Local files are first-class citizens: the Hub can process documents on your own hardware, keep references to sources, and return results you can check.
03
Workflows
Recurring work becomes a saved workflow with visible steps. Workflows are created from real tasks and refined over time — adaptivity is the point.
04
Permissions & scope
Every job carries explicit boundaries: which data, which actions, which model class. The system enforces them; no job silently widens its own scope.
Product
Design principles
Control before convenience
Convenience matters, but never at the cost of knowing what runs where. Defaults are conservative; expansions are explicit.
Local capability is real capability
Local AI is not a demo mode. Core tasks are designed to work on your hardware, without a cloud account being a precondition.
Traceability as a feature
A result you cannot reconstruct is a liability. Steps, scopes, and model choices are recorded so output can be defended.
Honest product communication
What is planned is labeled as planned. Mail and service connectors are in development and communicated exactly that way.
FAQ
Product FAQ
Is Mainsches Hub a chatbot?
No. A chat can be part of the surface, but the product is the control layer underneath: model orchestration, workflows, permissions, and traceable execution.
Which AI models does Mainsches Hub use?
The architecture is model-agnostic: local models on your hardware and cloud models within approved scopes. Concrete model line-ups depend on your setup and are discussed in the pilot program.
Who is Mainsches Hub for?
Primarily small and mid-sized companies that want AI leverage without losing control over their data — plus partners and investors who want to build that future with us.