DATA SOVEREIGNTY
Open-source models on company infrastructure. Full data sovereignty, GDPR & AI Act compliant. We handle planning, setup and training.
BENEFITS
For companies that need maximum control over their data and AI.
Data never leaves the network. Full control, always.
Llama, Mistral, Phi & more – flexible and transparent.
Compliance by design. Ready for EU regulations.
Fixed infrastructure costs, easy to plan at high volumes.
Company rules, company firewall, company encryption.
Updates and changes on company schedule.
WHY ON-PREMISE?
Not every company can or wants to send data to the cloud. Whether regulatory requirements, internal policies, or strategic decisions – on-premise gives you full control over your AI infrastructure.
With on-premise, no data leaves your network. All processing happens locally on your hardware. Ideal for companies with strict data protection policies, sensitive trade secrets, or regulatory requirements that prohibit external data processing.
Certain industries and use cases require data to never leave the company network. On-premise makes it easier to meet compliance requirements – from GDPR to industry-specific regulations to the new EU AI Act.
Cloud APIs charge per token – at high volumes, that can get expensive. With on-premise, you pay once for hardware and then have fixed, predictable operating costs. Above a certain usage volume, this is often the more economical choice.
USE CASES
Industries with high data protection and compliance requirements benefit the most.
Financial service providers with compliance requirements often prefer on-premise for sensitive data.
Sensitive patient data and research results often require local data storage.
Client confidentiality often requires the highest data control. On-premise can be the right choice.
Government agencies and public institutions with strict security requirements.
Production data and intellectual property often need to stay in-house.
From requirements analysis to GPU configuration to team training – we guide you through the entire process.
✓ Consulting & architecture design ✓ Infrastructure setup (GPU, Kubernetes, Air-Gapped) ✓ Deployment & training

For on-premise you need servers with powerful GPUs. Exact requirements depend on your use case – we help you with planning and hardware selection.
We support open-source models via Ollama: Llama 3, Mistral, Phi, Gemma and more. For complex tasks we recommend reasoning models. Additional backends on request.
A typical on-premise setup takes 2-4 weeks – from planning to go-live. More complex setups take longer accordingly.
Yes, we don't leave you alone after go-live. Support and maintenance are part of our offering – we clarify the details in conversation.
Yes, Notivo supports fully isolated air-gapped deployments without internet connectivity. Ideal for highly sensitive environments in government and regulated industries. Updates are delivered via secure offline packages.
Notivo is GDPR compliant and ready for the EU AI Act. We're a startup working on additional certifications – talk to us about your compliance needs.
Yes, we support Ollama as a backend – so all common open-source models run out of the box. Additional backends are in development. Your own fine-tuned models can also be integrated.
Notivo is designed for scalability. You can add more resources as your team grows. We support you with capacity planning and optimize the setup for your requirements.
Notivo uses MCP servers with its own consent control. AI agents only access what they should – and users decide themselves which data sources are enabled. Full transparency and control.
Notivo offers REST APIs and MCP connectors. Authentication runs via OAuth2.
Let's discuss your requirements. No obligation.