Local AI Infrastructure

Step by Step to Setting Up Your Own AI Island

Exklusive Sneak Peek (Preview). This documentary is currently in production and will be completed on schedule in the spring of 2027, when the official reference book is published by Kohlhammer Verlag.

STEP-BY-STEP INSTRUCTIONS

Setup at a Glance

  • 01. Hardware & Equipment
  • 02. Setting Up the LM Studio
  • 03. Prompt Library
  • 04. The Transition to the EleMo Model

Why on-premises instead of the cloud?

Digital transformation in daycare centers requires uncompromising data protection and absolute reliability. With a local AI infrastructure, you retain complete control over all sensitive data without relying on external servers.

GDPR Compliance

Because the system runs on local hardware, sensitive development reports and children’s data never leave your secure network.

Full data sovereignty

You decide which open-source models to use and where your data will be stored — transparently and securely.

No cloud costs

There are no costs associated with using generic models. For EleMo, you pay only a transparent fixed price of 49 dollars per daycare center per month, with no hidden fees.

Future-Proof & Scalable

The system scales with your needs and can be flexibly deployed at all your locations within the organization.

BACKGROUND & VISION

The Development of EleMo & Co.

EleMo wasn’t conceived on the drawing board; it evolved directly from real-world experience in the day-to-day operations of daycare centers. By combining local open-source infrastructure with specific educational training frameworks, we’re creating technology that puts people first—in compliance with data protection regulations, independent, and transparent.

Breaking Through the Wall of Bureaucracy.

Documentation is not a bureaucratic end in itself, but rather the foundation of educational quality. Yet EleMo resolves the conflict between acute time constraints and high standards from the ground up.
  • From hours of work to well-thought-out reflections: EleMo cuts writing time by up to 90%. Simple bullet points are instantly transformed into precise, reflective reports.
    Time savings
    Efficient Daily Life
  • Scientific Validity & Anti-Bias Guarantee: No soulless, standard boilerplate phrases. The model actively reduces linguistic bias.
    Anti-Bias
    Highest Quality
  • Sustainable Upskilling & Media Literacy: Hands-on support systematically reduces teams’ reluctance to embrace digital innovation.
    Competence
    Future-proof
  • Educational Child Protection in the Data Room: Maximum data security without compromise through local (on-device) operation without the need for the cloud.
    Privacy-Policy
    Maximum Security

Frequently Asked Questions (FAQ)

Here you’ll find the most important answers regarding data protection, hardware, and the implementation of EleMo in your daycare center.

For smooth local (on-device) operation, you’ll need a high-performance workstation. The most important factor here is sufficient RAM on Apple systems or a suitable graphics card (GPU) with enough VRAM to run open-source models locally in LM Studio smoothly and without errors. You can find the exact minimum and recommended specifications directly in our hardware documentation.

Since you host the system entirely on your own, all processing is carried out in accordance with a strict “zero-cloud” strategy. At no time are sensitive data or development reports transmitted to external servers or third-party providers. All information remains physically within your organization’s closed local network, thereby ensuring compliance with legal data protection requirements.

No, no prior technical knowledge is required. The user interface (e.g., LM Studio) is designed to be intuitive, so the team can start creating reports right away without a lengthy training period. The goal of self-implementation is precisely to reduce hesitation through practical documentation and guidance and to strengthen the team’s digital media literacy step by step.

The purely technical setup (installing LM Studio, loading the models, and linking them via AnythingLLM) can be completed in a matter of hours with the appropriate hardware. The total time required depends primarily on how quickly you integrate the local workflows into your daily routine and familiarize the team with assisted refinement. Please remember to schedule AI training for your employees.