Education Meets Artificial Intelligence.

Take the burden of documentation off your staff without compromising data privacy. We provide customized, locally executable AI models for your municipal IT infrastructure.

  • Data Sovereignty in Local Operations
  • Specially trained for daycare centers
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More time for kids. Less time for paperwork.

Our AI solutions are specifically tailored to the needs of educators and local government agencies—secure, locally hosted, and practical.

The Educational Focus

Our AI model, EleMo, is precisely tailored to the needs of early childhood education and professional observation documentation.

The Safety Argument

No third-party cloud servers. We deliver the GGUF models directly to your municipal IT department for execution or implement them ourselves. Sensitive data remains strictly in-house.

The Benefits in Everyday Life

Smart assistance systems drastically reduce administrative burdens. This allows us to refocus on what matters most: building relationships.

Focus on what matters most: educational work.

With our finely tuned early childhood education model, EleMo, you can automate time-consuming documentation processes. Best of all: You retain full control over your data. We provide your municipal IT department with the GGUF model as-is or implement the model on new hardware—for purely local operation on your systems, without any external servers or cloud requirements.

100%​

Local Data Sovereignty 

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0%​

Cloud Dependency



Full control over your municipal IT.

We don’t force opaque cloud services on you. Instead, we deliver “EleMo,” an AI model specialized in elementary education, as an efficient GGUF file directly to your city’s IT department. If your city handles the server hosting, our solution integrates seamlessly—ensuring maximum digital sovereignty without compromising data privacy.

GGUF

Standardized Format

EleMo

Specially fine-tuned model

From real-world experience. For real-world use.

Behind Kita Digital is Sebastian Götz, an experienced early childhood educator, author, and AI expert. Our mission is to provide long-term relief to early childhood education through secure, locally executable AI solutions. We understand the day-to-day realities of daycare centers and know that technology is only helpful if it respects data privacy and truly frees up time for educators.

  • Educational Expertise
  • Focus on Sovereignty
Get to Know Us

Here’s what professionals say.

More time for teaching and 100% control over all data—that’s what teams and IT managers say about how they use it in their day-to-day work.

Anna M. | Daycare Center Director

“Since we started using the AI Island for our observation records, we’ve had noticeably more time for the children. The texts are extremely professional and tailored specifically to the early childhood education setting.”

Sarah L. | Preschool Teacher

“You can tell right away that the EleMo model was developed by someone with real-world experience. It understands our day-to-day life at the daycare center and provides exactly the support we need when writing learning stories.”

Thomas K.​ | Organizer

“Deploying the GGUF model on our own servers was a game-changer. We retain full control over our data, and the integration into our municipal infrastructure went smoothly. No cloud dependency.”

Milestone: EleMo is being validated in practice.

Our vision of a self-sufficient, local AI for early childhood education is becoming a reality. EleMo (our early childhood education model) is not just a theoretical concept; it is already being actively tested by researchers, educational institutions, and IT professionals. The first validation downloads send a strong signal from the field that there is a huge need for local solutions that comply with data protection regulations.

  • Local data sovereignty: Deployment as a secure GGUF model.
  • Educational Focus: The EleMo model is finely tuned for daycare centers.
  • Time Savings: Smart Assistance with Observation Documentation.
  • Value-Based: Led by media educator Sebastian Götz.
Discover all features

Try the EleMo AI Chatbot

Technology

It is the V1 version and is quantized (i.e., technically compressed for efficient operation), so its performance is somewhat limited compared to the full, uncompressed version.

Privacy & Security

Please be sure not to enter the real names or actual personal information of children or colleagues. For more detailed information, see the Privacy Policy.

Utilization

💡If there is heavy traffic on the test model, you may experience delays or disconnections. Is it not working right now? Please just try again in a few minutes!

Elemo

Customized Solutions for Daycare Centers and Operating Organizations

No hidden cloud costs or opaque subscriptions. We provide the educational AI model—your IT department handles the local hosting. Choose the setup that best fits your infrastructure.

Onboarding

6.000 €

Hardware workstation, on-site installation, and personalized team coaching.

/ is Kita.

  • On-site installation
  • Personal Coaching
  • Security Setup
  • Local Workstation
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Popular

EleMo License

49 €

EleMo is the data-secure AI infrastructure for autonomous early childhood education.

/ monthly.

  • Sovereign Infrastructure
  • Maximum Security
  • Anti-bias approach
  • GDPR-compliant
Request EleMo
AI-Expertise

ab 890 €

Presentations, specialized training, and strategic guidance for your educational landscape.

/ starting at 890 €.

  • Practical
  • Educational Support
  • For Your Organization
  • Build Skills
Request a Presentation

Strong Partners for Digital Education

Trust and data sovereignty are the foundation of our work. We collaborate closely with local government agencies, specialized publishers, and experts in early childhood education to develop solutions that are truly practical.

Maximum Safety for Wearers & Local Governments

Artificial intelligence in the education sector requires more than just functional technology. It demands uncompromising educational quality, comprehensive data protection, and strict compliance with the European legal framework. The Elementary Education Model (EleMo) was developed from the ground up according to the “Fairness by Design” paradigm.

Conventional, commercial language models from the internet unconsciously reflect societal role stereotypes (implicit bias). Algorithmically, they tend to assign receptive attributes to girls, attribute cognitive dominance to boys, or associate children with immigrant backgrounds with narratives of deficiency. In the highly sensitive field of early childhood development assessment, such bias is unacceptable. EleMo addresses this problem directly in the model weights through a structured, matrix-based fine-tuning architecture (Latin Hypercube Design):

Mathematical Decoupling: Demographic characteristics (gender, background) were strictly isolated from cognitive, emotional, and action-related characteristics in the training dataset. The training approach aims to account for competency-related characteristics as independently as possible from demographic characteristics and to reduce stereotypical categorizations.

Guaranteed Diversity Parity: The underlying training data exhibits an exact distribution among boys, girls, and diverse children. Emotions such as concentration, joy, or pride are represented with absolutely equal distribution across all groups.

Intersectional Reality: EleMo is specifically designed to reflect the true diversity of modern institutions. The model uses highly sensitive language when referring to single-parent families, blended families, and rainbow families, and integrates features related to inclusion (e.g., motor impairments, augmentative and alternative communication aids) in a fully accessible and strength-based manner.

AI systems in the education sector are under close scrutiny by European lawmakers. EleMo proactively anticipates these regulations and meets the highest compliance standards:

EleMo is designed as an assistive writing and phrasing tool. It does not make automated decisions about children and does not generate independent diagnoses or evaluations. The professional assessment and the final decision remain with the educator.

The “human-in-the-loop” principle: The authority to interpret, the professional analysis of everyday observations, and the final approval remain, without exception and 100%, with the human professional. Generative causality is systematically interrupted by mandatory human editorial review.

Data Governance pursuant to Art. 10: Through the methodological documentation of data collection and the mathematical neutralization of confounding variables, the EleMo dataset aims to meet the strictest European quality criteria for ethical machine learning.

EleMo is designed for privacy-focused, local operation and can be run entirely within the operator’s IT infrastructure:

Exclusive data sovereignty: Language processing (inference) can take place entirely on a local hardware workstation within the operator’s IT infrastructure. With a properly configured, technically isolated installation, there is no connection to external AI cloud services.

Exclusion of Transfers to Third Countries: With fully local and appropriately isolated operation, input data is not transmitted to external AI services for processing.

The “Word Doctrine” Approach: Local and technically isolated processing can significantly reduce the risk of data being transmitted to external AI services. However, no software can guarantee a complete elimination of security risks.

EleMo is designed as a tool to assist in the linguistic formulation of educational texts. The professional assessment of observations and the decision regarding the use of the generated content remain the responsibility of the educational professional.

Legal Authorship: The texts generated by EleMo are suggestions and must be reviewed, adapted, and approved by the responsible professional before use.

Strict Input Limitations: The AI does not generate independent diagnoses or developmental reports from scratch.

Prohibition of Automated Scoring: The system does not tally points or calculate autonomous scores.

Human Final Approval: No text leaves the system without being reviewed; the final review is 100% performed by a human.

In the case of procedures mandated by law or by the responsible agency, there is often concern about being classified as high-risk under the EU AI Act. EleMo resolves this conflict through a strict methodological separation at the design level.

True diversity parity: The model’s weights are based on a matrix that mathematically decouples demographic characteristics from competencies.

Human assessment: The professional evaluation and setting of milestones continue to be performed entirely manually by the specialist on the assessment form.

Linguistic interface: EleMo becomes active only after the human evaluation to translate checklists into fluid, respectful reports.

Preservation of methodological validity: Since the model does not interpret the content on its own, it remains a secondary writing medium.

Ready for the Daycare of the Future?

Bring digital autonomy and tangible relief to your facilities. Let’s schedule a brief initial consultation to discuss how our EleMo model can seamlessly integrate into your municipal IT infrastructure.

  • Informal Exchange
  • Tailored for Daycare Cent.
Request a professional consultation