AI for business: The integrated AI stack. One partner.
AI that makes a real impact in your company – not just in a pilot project.
Many providers offer you a model. We deliver the result: from the GPU in our own certified data centers in Germany, to the integration of your data, all the way to the finished, operational AI-solution. You decide how much of it you actually need. We master the entire stack.
Two of its own next-generation data centers
Certified & operated in Germany
Full Financial control
Token-independent pricing models are available upon request
24/7 Managed Services
“Round-the-clock” operations instead of operational risk
Security by Design
From the “Home of IT-Security”
Efficiency goals, a shortage of skilled workers and the push toward automation are driving AI-projects forward. At the same time, DORA, the EU AI-Act and the GDPR demand uncompromising data security. Meeting all these requirements takes most companies months of infrastructure and compliance work before the first use case even delivers real value.
That’s exactly where we come in. Our Managed AI-Services deliver actionable AI within a legally compliant framework. Operated in our German data centers, comprehensively documented and ready for use from day one. You focus on your use cases. We’ll take care of operations, security and regulatory compliance!
Our Range of services
No “either/or” – it’s a modular system. Whether you want to “just” access robust computing power, integrate individual AI-features into your own products, or outsource AI entirely to us: each level builds on the one below it. Because we master all three ourselves, there’s no friction between infrastructure, platform and solution. And you won’t end up with a patchwork of different providers. What sets us apart from pure consulting firms and pure cloud providers is that we offer the full AI-value chain from a single source. You choose the entry point that suits you best – from a robust foundation to a turnkey solution.
Foundation
Sovereign AI-Infrastructure
High-performance computing power and production-ready language models from our own German data centers. For anyone who builds AI themselves – but doesn’t want to rely on U.S. hyperscalers.
- GPU Hosting: Scalable and Predictable Pricing
- Available as a managed service upon request: “AI Workload Ready” with 24/7 monitoring and validated patch and driver management
- LLM Provisioning: Up-to-date models, ready for use, with stable availability via API
- Transparent pricing: Token-independent upon request
Plattform
AI-Features & Data connectivity
The leap from model to real-world application: We combine AI with your business expertise and provide exactly the building blocks that standard models cannot.
- RAG Systems: Your documents and data as a reliable knowledge base
- Integration with ERP, CRM, DMS and Line-of-Business applications
- Specialized APIs for industry- and task-specific requirements
Full solution
All-round AI-Service
You tell us the goal, we'll take care of the rest: From identifying the right use cases to implementation and integration, all the way through to secure 24/7 operation.
- Consulting: Use-Case-Analysis, feasibility studies, AI-Strategy
- Automation of your business processes with measurable results
- Integration into your existing IT-Infrastructure
- Comprehensive solutions: Turnkey and with ongoing support
Our approach
A pragmatic approach. We start where the benefits can be measured most quickly – and then scale up.
Four steps to a productive AI-Solution:
Use-Case-Workshop
Together, we identify the processes with the greatest potential for improvement and honestly assess their feasibility, data availability and cost-effectiveness.
Pilot
A targeted pilot on our robust infrastructure demonstrates the solution's capabilities using your actual data.
Integration
We integrate the solution into your systems and processes – including permissions, interfaces and training for your teams.
Operation & Expansion
We operate, monitor and continuously improve the solution – and expand it step by step to include new use cases.
ASK IT: FAQ around the topic "Artificial Intelligence"
Managed AI refers to the full or partial outsourcing of the operation of AI infrastructure, AI models, and AI applications. Depending on the scope of services, DTS handles, among other things, infrastructure, monitoring, updates, security, integration, and day-to-day operations. This allows companies to focus on their AI use cases without having to build a full AI operations team themselves.
Yes, and it’s more common than most companies realize. When employees enter contracts, customer data, or internal documents into public services, company knowledge leaves the organization unchecked - both legally and competitively. A ban alone rarely solves the problem because the underlying need remains. A more effective approach is a combination of clear usage guidelines and a provided internal alternative, such as DTS’s AI, which is good enough to make the detour unattractive.
DTS’s pricing models are transparent and predictable; upon request, a fully token-independent model with a fixed budget can be arranged. This addresses a typical problem with traditional AI billing: With token-based models, costs rise with usage, making it nearly impossible to reliably calculate the monthly amount in advance.
Yes. DTS operates AI infrastructure and managed AI services in its own certified data centers in Germany. This allows companies to run their data, models, and AI applications within a controlled German IT infrastructure.
With RAG (Retrieval-Augmented Generation), AI can access a company’s own documents and data as a knowledge base. DTS connects RAG systems—for example, to contracts, manuals, project files, or enterprise systems—so that the AI can provide answers based on the company’s own data.
In its Managed AI Services, DTS takes into account, among other things, data security requirements and regulatory frameworks. These include the GDPR, the EU AI Act and DORA.
Let's have a talk! Let us speak about your use case.
In a no-obligation initial consultation, we’ll determine where AI can have the greatest impact in your company – and what level of service is best for that.
