Data-sovereign AI, built in Germany

Your data.
your AI.

Your data never leaves the building. The AI works on your version of the truth. And every answer can be traced back: GDPR, the EU AI Act and the ISO 27001 requirements from day one. That is what data-driven AI looks like when it is meant seriously.

Data-driven AI: what the term means

Data-driven AI is the practice of putting artificial intelligence to work systematically on your own company's data, with full control over ownership, quality and regulatory fit.

The difference from a general-purpose AI tool is not a nuance, it is the entire point: a tool answering from world knowledge does not know your price list, your contract status or your customer history. An answer grounded in your data names its source and can be checked.

The challenge

Why data-driven AI stalls in mid-sized companies

Data is the most valuable asset a company holds. Without a strategy it stays unused. Or it turns into a liability. Three causes come up again and again.

  • Data silos

    Customer records sit in the CRM, invoices in the ERP, knowledge in mail and documents. All of it spread across dozens of systems. With nothing joining them up, any AI stays blind. In “The social economy” (2012) the McKinsey Global Institute measures 1.8 hours a day that staff spend searching for and gathering information.

  • Privacy versus AI adoption

    Cloud tools ship company data to somebody else's servers. That sits badly with GDPR, with the EU AI Act and with the security needs of regulated industries. The result is a dilemma: adopt AI and carry the risk, or abstain and fall behind.

  • No data strategy

    Many German companies work without an AI strategy. Without a plan, isolated projects appear that neither scale nor pay back. The starting point is always the same inventory: which data sits where, at what quality, under whose responsibility?

The answer

A platform that stays in the building

SIMOSphere AI is the data-sovereign AI platform for mid-sized companies. It connects your data sources to whichever language model fits the task and works exclusively inside your own infrastructure: in your server room or in a private cloud inside the EU.

The platform sits as the central orchestration layer between your data sources and the result: it connects, it analyzes, it automates. What it does not do is carry data out of the building.

What you can expect from the platform

where processing happensYour own server room or a private cloud inside the European Economic Area. There is no operating mode in which company data leaves that perimeter for processing.
EU
to 5 days to the first data sourceMeasured setup time per system, from HubSpot to SAP S/4HANA. The full table is in the CRM and ERP integration guide.
2 h

Where it pays

Every department where data turns into decisions

  • Sales

    The teammate William Salespear reads customer records from the CRM and the mailbox, spots the openings for cross-selling and drafts personal offers from them. The result is more qualified offers.

  • Compliance

    Contracts, policies and documents are checked automatically against the rules that apply. The teammate monitors continuously and documents without gaps: GDPR, the EU AI Act and whatever your industry adds on top.

  • Customer service

    Enquiries are answered from your knowledge base, your product documentation and the ticket history. Faster answers, happier customers and noticeably less manual handling. Around the clock.

  • Knowledge management

    Documents, mail, minutes and manuals become searchable and usable. Answers in seconds instead of hours, and no loss of knowledge when somebody leaves.

Everything about data-driven AI

  • What does data-driven AI mean?

    Data-driven AI describes an approach in which artificial intelligence systematically draws on your own company's data to support sound decisions. Unlike general-purpose tools built on world knowledge, it works on your records, and it names, for every answer, what it rests on.

  • Can data-driven AI be used in a GDPR-compliant way?

    Yes, provided the platform is data-sovereign. SIMOSphere AI can run entirely on your own premises or in a private cloud inside the EU. No data is transferred to providers outside the European Union unless you explicitly switch on a connector that does so.

  • Can the platform run entirely on our own hardware?

    Yes. All data, all models and every processing step then run on your servers. Alternatively we operate the platform in a private cloud inside the EU. The choice is yours and can be revisited later.

  • How quickly can a solution go live?

    Sooner than most people assume. In a free thirty-minute session you see the platform working on your own case. Depending on the system, the first data source is connected in two hours to five days, and the measured figures are in the CRM and ERP integration guide. A complete process goes live in half a day in the Friction Tax Sprint.

See data-driven AI on your own case

Thirty minutes, free of charge: we show on your data what genuinely translates into an advantage, and what does not.