On-premise AI systems.
Leverage AI on your own terms. We enable you to run powerful AI systems directly within your IT environment – locally, securely, and completely under your control.
Where we help
Challenges
we solve for you.
Many promising local AI projects fail due to a few common, solvable issues. We will help you overcome them.
Data Privacy
Strict data privacy policies that prevent the use of cloud solutions.
Everything On-Premises
Critical data that must not leave your own infrastructure.
Lack of Expertise
A lack of in-house expertise to set up proprietary AI environments.
Vendor Lock-Ins
Vendor lock-in that limits long-term flexibility.
The solution:
Your on-premises AI system from Dentro.
Your AI system can be highly customized to your specific requirements. We would be happy to show you what’s possible.
Quick Facts
On-premises AI highlights at a Glance.
Our solutions for on-premises AI systems combine maximum security with state-of-the-art technology – built to be modular, individually adaptable, and future-proof within your own environment.
On-premise operation – even fully offline
Whether in your data center, on dedicated hardware, or in an isolated network: your AI runs exactly where you need it.
Selection of state-of-the-art models
We integrate leading open-source models (like LLaMA, Mistral, Qwen, etc.) or assist with licensing commercial systems—tailored to your needs.
Complete data sovereignty
All data remains 100% within your environment. No transfers to external clouds – ensuring maximum security and GDPR compliance.
Custom-tailored infrastructure
Whether you use GPU servers, on-premise Kubernetes, or edge devices, we adapt the solution to your IT architecture and performance requirements.
No vendor lock-in
Open standards and a modular architecture guarantee your independence – and the freedom to switch or expand at any time.
Simple maintenance & updates
Easy to operate despite its complexity: We set up update routines, monitoring, and interfaces so your team can work autonomously in the long run.
FAQs
Answers to the most
frequent questions.
Why should I run an AI system on-premise?
Because you retain full control over your data, security, and infrastructure – without depending on cloud providers or external data transfers.
Is an on-premise system as powerful as a cloud service?
Yes. With the right hardware and model selection, you can achieve comparable results – with maximum control and often lower ongoing costs.
Which models can be run locally?
We support virtually all current open-source models (Qwen, Deepseek, LLaMa, Mistral, and many more) and select the one best suited for your use case.
How complex is the setup?
The basic configuration can be ready in just a few days to a few weeks—including model integration, user interface, and security setup.
Can we integrate our own data?
Yes. We build the systems so that you can directly connect your internal knowledge sources, databases, or files—with all processing done completely locally.
What hardware is required?
That depends on whether you want to run your AI system on a cloud server of your choice or on-premise. For the former, no additional hardware is necessary. For the latter, we are happy to assist in selecting the right equipment.
How is the system maintained and updated?
Updates, backups, audit trails, and model changes can be easily configured. If you wish, we can also handle ongoing support.
Can multiple teams or departments work with it?
Yes. You can define roles, user groups, and access levels – it can even be configured for multi-tenancy if required.
What about security?
We implement current security standards – from access control and audit logs to encrypted network communication.
How can I learn more?
Simply book a free initial consultation. We will give you a live demonstration of what is possible and provide personalized advice for your specific use case.
On-premise AI in Action
Practical Examples & Use Cases.
Whether for a mid-sized company or a large corporation, these real-world scenarios show how versatile and effective on-premise AI systems can be today.
Ready?
As you can see, local AI setups are definitely something we can support with. Ready to discuss your use case and see what’s possible?