Analysis, preparation and decision groundwork are translated from recurring manual work into a guided flow.
Our network for data-sovereign AI
MindsMachines brings AI securely into your company. We show where AI delivers real value and make sure your data stays protected.
Partners, clients & project network
akenza.ioanimondabluepartnerC.Ed. SchulteDiethelm Keller GroupGeorg FischerLactalisPfeifer & LangenSiemens EnergyStreck TransportSweets Global NetworkTechnologiezentrum GlehnTransa BackpackingUniversität St. Gallen
From our founders' long-standing consulting practice to the current projects and partnerships of MindsMachines AI GmbH.
Our solutions
Plan, training and software. All from one source.
AI only helps when three things come together: a clear plan, trained teams and secure software in your own system. We show these three building blocks one after another.

A clear plan: where AI helps first
A simple plan for which processes benefit from AI first — guided by value, not by tools.
- We find examples directly in your real workflows
- We prioritize by what delivers the most
- You get a roadmap that starts safely
Where does AI deliver the most in your company?
Sales · Use case 01
Account briefing assistant
Faster preparation, better conversation quality.
Examples from practice
Real results instead of empty promises.
You don't want a slick tech demo, but proof that it works. That's why we show AI where it saves time and makes work safer.
See more examplesTeams work with prepared data points, documents and lines of reasoning instead of scattered files.
AI isn't used as a black box, but with verified data, clear sources and human oversight.
>>> Our strength
People who make AI truly land in your company.
MindsMachines combines strategy, enablement and its own technology, with roots in science and practice. That turns AI potential into controlled impact that stays part of everyday work.

“We think about AI from business value, not from technology. And we build it so that control stays inside the company.”
Johannes Heister · Founder of MindsMachines- Academic rootsBorn from an AI initiative at the University of St. Gallen.
- Scientifically supportedResearch partner Dr. Abel Sanchez, MIT GenAI Global.
- Data-sovereign by designAI runs in your own system — with your own data and approvals.
- Open knowledgeOver 2,500 pages of AI knowledge, deliberately free to access.
>>> FAQ
Frequently asked questions.
Answered briefly and clearly. For everyone who wants to use AI safely and thoughtfully.
No. The use-case check is designed to structure your processes, data situation and first OneMachine use cases.
Yes. Typical starting points are SharePoint, ERP, CRM, DMS, file stores, databases and internal APIs.
OneMachine runs on the customer side in the customer's own tenant. Role permissions, audit trails, data flows and EU AI Act governance are part of the setup.
OneMachine is the central platform base. It's made productive per process with the right connectors, knowledge spaces, agents and governance rules.
“MindsMachines turned a vague AI topic into a solid roadmap. The combination of process understanding and technical execution was especially strong.”
“The workbooks got our teams into real use quickly. After that it was clear which processes would go productive first.”
“Existing data sources were securely connected to AI-supported workflows, without losing control over roles and approvals.”
Your next step
Let's find your first good step with AI together.
In 60 minutes we clarify your goal, your data, who's involved and what the path to a finished solution looks like. Concrete — not a tool demo.
- Free situation and needs analysis
- A clear first use case with measurable value
- Response within 24 hours
The platform
OneMachine: your AI, in your system.
Productive AI that runs securely in your organization: with your own data, permissions and approvals. Distilled from real project work into a licensable product.
Explore OneMachineKnowledge & insights
Knowledge we share — not lock away.
We've deliberately made over 2,500 pages on AI strategy, enablement and implementation freely available — so good AI decisions don't fail for lack of knowledge.