One central hub
Models, files, workflows, and actions meet in a single workspace instead of scattered tools and browser tabs.
AI Operating System
AI, files, and workflows. One hub in control.
Mainsches Hub orchestrates local and cloud AI models, your files, and adaptive workflows in one controlled workspace. Security and privacy are part of the system — not an afterthought.
Mainsches Hub — Console
Choose a scenario
- GoalSummarize all contracts in the Q3 folderrunning
Sensitive documents, so the job is pinned to local AI.
Animations follow your system's motion preference.
What is an AI operating system?
A control layer between your work and AI.
An AI operating system coordinates AI models, files, workflows, and actions in one place. It decides — within your rules — which model runs where, what data a job may touch, and how results come back. That is what Mainsches Hub is built to be.
Controlled model choice
Local and cloud AI are assigned per task. Sensitive work can stay on your own hardware.
Workflows that live
Recurring work becomes a workflow you can save, manage, and keep improving.
Boundaries built in
Permissions and scopes are system features, not policies on paper.
Mainsches Hub
Local AI
Cloud AI
Files
Workflows
Actions
Connectors
planned
Local and cloud AI
The model follows the data — not the other way round.
Some work belongs on your own hardware. Some work benefits from more capacity. Mainsches Hub lets you decide per task and enforces that decision.
Local AI
- Files can be processed on your own hardware
- Suited for contracts, personnel files, and internal documents
- Core tasks work without any cloud dependency
Cloud AI
- Extra capacity for large or complex jobs
- Runs only within an explicitly approved scope
- An option you choose — never a forced default
You set the rule once. The Hub applies it to every job.
Adaptive workflows
Workflows that adapt to how you actually work.
Prompts are one-off. Workflows compound. Mainsches Hub turns recurring work into structures you own.
01
Create from real tasks
A workflow starts from actual work — a goal, a document set, a recurring routine — not from a blank canvas.
02
Save and manage
Your workflows live in a library: named, organized, and ready for the next run.
03
Refine over time
Adjust steps, tighten scopes, swap models. The workflow improves with every iteration.
How a job runs
Six steps. Each one accountable.
Select a step to see what happens, why it is controlled, and what you gain.
What happens
A goal, a question, or files start the job.
Why it is controlled
Nothing runs without an explicit start from you.
What you gain
You stay the trigger — always.
Use cases
Built for the work companies actually do.
Realistic scenarios for small and mid-sized companies — no science fiction.
Documents & files
Evaluate contracts, reports, and internal documents in a controlled way — locally where it matters.
- Summaries with source references
- Comparisons across document sets
- Local processing for sensitive material
Security & privacy by design
Security is the architecture, not a feature list.
Mainsches Hub is designed so that control is structural: what runs, where it runs, and what it may touch.
Local processing where it fits
Sensitive files can be processed on your own hardware instead of leaving the company.
Explicit job boundaries
Every job runs inside defined limits — no silent expansion of what a task may do.
Permissions & scope
Data access, actions, and model class are scoped per job and enforced by the system.
Traceable steps
Workflow steps are recorded so you can reconstruct what happened and why.
Privacy by design
Data minimization is a design principle: jobs see what they need, nothing more.
Cloud as a choice
Cloud models add capacity when you want them — they are never a forced dependency.
These points describe the product's architecture and design goals. Mainsches does not claim external certifications or audits at this stage.
Security in depthProduct status
What exists, what is planned — stated plainly.
Mainsches Hub is in active development. This page separates the product's direction from what is still ahead.
Product direction — being built now
- Orchestration of local and cloud AI models
- Adaptive workflows: create, save, manage, refine
- Local file processing
- Permissions, scopes, and traceable steps
- Security and privacy by design
Planned — in development
- Mail connectors
- Connectors for further services
The goal: Mainsches Hub becomes the control layer for everyday AI work in companies — one place where AI acts with permission, not by default.
Pilot program
Shape the Hub before everyone else uses it.
We are opening Mainsches Hub to a small group of pilot companies, strategic partners, and investors.
- Early access with direct influence on the roadmap
- A direct line to the founder — no ticket queues
- For SMEs, strategic partners, and investors
FAQ
Short answers to the questions that matter.
What is Mainsches Hub?
Mainsches Hub is an AI operating system for companies. It orchestrates local and cloud AI models, files, and adaptive workflows in one controlled workspace, with permissions and traceability built in.
What does “AI operating system” mean?
A control layer between your work and AI models: it coordinates models, files, workflows, and actions, and enforces which model runs where, what data a job may touch, and how results come back.
Local or cloud — who decides?
You do, per task. Sensitive work can be pinned to local models on your own hardware; cloud models run only within an approved scope. The Hub enforces the rule you set.
How does Mainsches Hub process files?
Files can be processed directly on your own hardware — for example for summaries or comparisons with source references. Cloud models are used only when you explicitly approve a step for them.
How are permissions and scope controlled?
Every job receives explicit boundaries: which data it may read, which actions it may take, and which model class it uses. The system enforces these boundaries, and every step remains traceable.
Can I build my own workflows?
Yes. Workflows are created from real tasks, saved to a library, and refined over time — they are a core concept of the product, not an add-on.
Is Mainsches Hub available today?
Mainsches Hub is in active development. A pilot program for small and mid-sized companies, partners, and investors is open — that is currently the way to get access.
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