
You want to deploy AI in your business, but these problems must be solved first:
AI servers are computers built to host, run, and process AI workloads inside your own IT environment. They can be on-premise machines or cloud servers under your control. They're not the same as generic cloud services; they're specifically set up for AI tasks like automation, data processing, and model hosting.
We design them to be secure, compliant with GDPR and the AI Act, and integrated with your existing software stack.
Deliverables:
Boundaries: We build the technical infrastructure and governance. Legal advice on the AI Act is out of scope; we translate requirements into practical measures and coordinate with your legal counsel where needed.
| Scenario | Required inputs | Expected outcome |
|---|---|---|
| Cloud AI without control | External cloud vendor, limited audit logs | Fast delivery, little control |
| On-premise AI servers | Own hardware, internal IT management | Maximum control, full auditability |
| Hybrid secure AI servers | EU servers, compliance design | Control with compliant deployment |
Conclusion: hybrid secure AI servers offer the best balance of control, compliance, and scalability.


1. AI Readiness Test or intake
We assess your current systems and identify gaps in security and compliance.
2. Design phase
We map the server infrastructure, compliance controls, and implementation plan.
3. Implementation
Secure AI servers set up, integrated with your software, access controls enforced.
4. Documentation and training
We deliver compliance evidence and train your team in safe use.
5. Review and aftercare
Follow-up on changes and updates, especially as regulation evolves.
Lead time: Typical secure AI server implementations take 4 to 8 weeks, depending on integrations and data complexity.