DESTINY Platform

Local AI Systems

Large language models that run on your own infrastructure. Full data sovereignty, your data stays entirely on your own systems, GDPR-compliant from day one.

Why local AI?

Data sovereignty is not a buzzword - it is a business necessity. Every time you send a request to a cloud-based AI service, your data leaves your company. For sensitive engineering data, patent information, or personnel files, that is a risk no compliance officer should sign off on. Local AI systems solve this problem at the root: your data stays in your building, on your hardware, under your control.

GDPR sets clear requirements for processing personal data. Anyone using cloud AI must prove that the provider meets these requirements - across the entire processing chain. With on-premise systems, this complexity disappears: you are both the controller and the processor in one. No complex data processing agreements, no uncertainty about third-country transfers, no dependency on changing terms of use - if that matters for your data.

Beyond privacy and compliance, there are hard economic arguments for on-premise AI. Cloud-based services charge per token or per request. With intensive use, these costs quickly add up to five- or six-figure annual amounts. A local system requires a one-time investment in hardware and setup but then operates without ongoing license fees. Plus: latency drops drastically when your AI responds within your own network instead of over transatlantic lines.

The DESTINY Platform

DESTINY is our in-house AI platform, designed specifically for industrial on-premise deployment. At its core, DESTINY combines large language models with a powerful Graph-RAG architecture (Retrieval-Augmented Generation). That means: the AI does not just access flat text documents but understands the relationships between documents, departments, and processes as a connected knowledge graph.

The integrated Memory OS gives the AI long-term memory. Unlike traditional chatbots, DESTINY does not forget what was discussed after every session. It learns the context of your company, remembers decisions, and over time builds an increasingly precise understanding of your operations. The AI becomes more valuable to your organization with every day.

DESTINY document analysis processes technical drawings, maintenance protocols, standards, and contracts. You can ask questions in natural language and receive precise answers with source references. Whether 500-page machine manuals or thousands of inspection reports - DESTINY makes your company knowledge searchable, understandable, and instantly available.

Services in Detail

On-Premise LLM Deployment

Installation and configuration of large language models on your own hardware. We support Llama, Mistral, Apertus, Mixtral, and other European open-source models, optimized for your specific requirements.

Graph-RAG Integration

Linking your company data into an intelligent knowledge graph. The AI understands relationships between documents, processes, and departments and delivers context-aware answers with source references.

Memory OS

Implementing a persistent memory system for your AI. The system remembers decisions, contexts, and preferences and becomes increasingly precise in its answers over time.

Fine-tuning & Training

Adapting language models to your terminology, your processes, and your industry. Through targeted fine-tuning, we achieve significantly higher answer quality than with generic models.

Hardware Consulting

Recommendation and procurement of the optimal GPU servers for your use case. We size the hardware to match model size, user count, and response speed.

Support & Development

Ongoing support of your AI systems with guaranteed response times. Regular updates, model upgrades, and continuous optimization of your knowledge base are included.

FAQ

Frequently Asked Questions About Local AI

Costs depend on the use case, required model size, and your existing infrastructure. A typical entry-level project with a 7B parameter model on a single GPU server starts in the low five-figure range. For an individual calculation, we are happy to prepare a no-obligation quote.

We support all common open-source models, including Llama 3, Mistral, Apertus, Mixtral, Qwen, and European models like Teuken. The model choice depends on your use case: for document analysis we recommend different models than for code generation or customer communication.

A basic project with standard deployment is production-ready in two to four weeks. Projects with custom Graph-RAG integration, fine-tuning, and extensive document onboarding typically take six to twelve weeks. We always start with a working prototype that we expand iteratively.

Yes. Since all data is processed on your own infrastructure, it does not leave your company at any point. No data is transferred to third parties. You retain full control over storage, processing, and deletion - the cornerstones of GDPR compliance.

For productive operation we recommend dedicated GPU servers in your data center or server room. For initial evaluation, the AI can also run on powerful workstations with consumer GPUs. We advise on the selection and can fully handle hardware procurement on request.

Interested in local AI?

Let us talk about your requirements. In a no-obligation initial conversation, we analyze your use case and show you how local AI can look in your infrastructure.