Platform
We start with AI for children, because it carries the strictest requirements. What works here carries every other sensitive-audiences vertical. The platform brings together RAG architecture, dedicated servers in German data centres, in-house moderation and a multi-guard safety stack. No black box, no third-country data. Every one of our solutions runs on this foundation.
Safe AI. Safe Data. Made in Germany.
What we don't do
Our goal is a safe AI infrastructure that creates no one-sided emotional bonds and no dependencies – fit for use across Europe.
No uncontrolled companion personas, no simulated empathy, no persistent relationship simulation, no manipulative memory loops.
What we do
Curated, role-bounded brand, learning or IP characters with guardrails, an AI that clearly says it's a machine, and age-appropriate teaching.
We don't profile users. No simulated empathy, no pull to come back.
What we do
Parents stay in control. Children learn without being turned into a data profile.
No data to foreign cloud providers, no routing outside the EU, no foreign model API between child and answer.
What we do
Our own open-source models on our own servers in Germany. Fully in European hands.
Content, brand voices, characters and configurations from our partners remain the property of our partners.
What we do
No model training by HillcrownAI or third parties. At contract end: full content export and complete platform teardown.
The technology
01
Answers come from sourced material, not from a model's statistical haze. RAG structurally reduces hallucinations because answers are derived from curated sources and reviewed by guardrails.
02
Hosting in Germany, no foreign cloud provider, no third-country transfer. ISO 27001-certified data center operator.
03
Moderation before the answer, not after it. Multiple independent safety layers against harmful answers, parasocial bonding and data leakage.
04
Architecture and processes built “AI-Act-ready by design”. ISO/IEC 42001 certification in preparation. AI-Act-compliant across all stages: GPAI since 02 August 2025, standard obligations from 02 August 2026, health high-risk from 02 August 2027, education high-risk from 02 December 2027 – we are ready.
AI transparency
RAG claim
Generative AI is deployed only inside curated knowledge spaces, defined roles and verifiable guardrails. Answers come from sourced material, not from a model's statistical haze. RAG structurally reduces hallucinations because answers are derived from curated sources and reviewed by guardrails. Partner IP stays protected. Brand voice stays consistent.
Safe AI. Safe Data. Our Infrastructure.
Sensitive audiences need particular attention. Children, especially under 14, are under heightened legal and societal protection. That is the basis of how we act. We align the platform to it, and every HillcrownAI solution builds on this foundation.
Conversations, learning histories and interaction data stay in Germany. No third-party clouds, no model training on children's data, no shadow profiles. Parents receive an overview without surveillance.
Partner content, IP and configurations remain the partner's property. No model training by HillcrownAI or third parties. At the end of the contract: export file, full platform decommissioning.
Hosting in Germany in ISO 27001-certified data centres. In-house moderation, Multiguard stack. No foreign cloud provider, no third-country transfer. Open-source foundation models, self-hosted.
Legal basis
On this legal basis the platform architecture is built. On this architecture every HillcrownAI solution builds.
Hardware under our own control.
Models, inference and moderation run on our own GPU clusters in German data centres. Multiple cards per cluster, sized to load and growth. We don't share it with cloud providers and we don't rent compute capacity on foreign cloud platforms.
Inference
Current generation for the foundation models, operated as a dedicated inference cluster. Carries user responses in real time.
Multiguards
Workhorse cluster for the parallel moderation layers of our Multiguard stack.
Image generation and image analysis
Dedicated cluster for image-generation and image-analysis workloads that run alongside the language pipeline.
Three reasons for own hardware
Hardware sovereignty is the prerequisite for data sovereignty. Both stay with us, so it can stay with your users and your content.
Research & Development
What an AI for children from age four has to look like is an open research question. From today's general-purpose language models, an age-appropriate protected space cannot be derived, neither in interaction, nor in content moderation, nor in latency under real conditions.
We experimentally investigate how cognitive, social and motor developmental stages have to be reflected in user guidance and AI response behaviour, how real-time responses under two seconds can be achieved without data storage, and how closed model loops can be prevented from carrying biases or misinformation into a protection-worthy user group.
The work takes place in a closed, German-hosted research and development environment, together with developmental psychology, pedagogy and AI safety research. Results are open-ended and validated in iterations against scientific and technical risks.
What the platform means for partners
Every solution runs on the platform. Partners can build whitelabel versions, take API licenses or have custom implementations developed via HillcrownAI Labs. One infrastructure, multiple paths.
Compliance disclosure
AI Act, ISO/IEC 42001 and ISO/IEC 27001 are not just promises, they are architecture. This disclosure line applies to all solutions because they all run on the same platform.
Safety
Infrastructure
AI-Act-ready (architecture and process) · ISO/IEC 42001 in preparation · Data-centre operator ISO/IEC 27001 certified
AI Act key dates at a glance
HillcrownAI maps use cases along these dates. For education providers this means: the architecture is already AI Act ready today, but the full high-risk obligation programme for education only kicks in at the end of 2027. We take on the documentation and risk structure on a use-case-specific basis.
We build the safe AI worlds for partners in education, edutainment, culture, sport and family. Reach out – we'll get to the configuration in 30 minutes.