No cloud lock-in
Fully operable on-premise – your data stays inside your infrastructure.
Focus: clinic, research, sensitive data
Build EHDS-oriented infrastructure without forced cloud dependency
We help teams map technical implications from EHDS, NIS2, and GDPR: dataset catalogs, pseudonymisation, controlled execution, and auditability. Practical and transparent, without compliance guarantees.
No buzzword promises
We provide technical analysis, not certifications or legal opinions.
30 minutes are enough
In the intro call, you get a concrete assessment – not another sales deck.
Who this page is for
- • Clinical and research IT teams handling sensitive data under strict governance
- • Organisations preferring on-premise or tightly controlled hybrid models
- • Teams that want practical progress, not generic buzzword consulting
EHDS readiness
Technical mapping of data catalogs, role models, pseudonymisation paths, and SPE-oriented operating boundaries.
Secure operations
Traceable architecture for access, logging, encryption, and controlled execution in your own infrastructure.
Concrete roadmap
Prioritised next steps for the next 2-12 months instead of abstract target-state slides.
On-premise AI as a core technical lever
When sensitive health or research data is involved, AI value is often only practical if data localisation, access control, and traceable processing work together technically. This is where an on-premise-oriented model is useful for many teams.
BioResearch Assistant addresses this with on-premise-oriented AI support for literature workflows, pipelines, and pseudonymisation. This is not an automatic compliance guarantee, but a technical foundation for controlled operations.
What you get in an intro call
- • Quick scan of your current architecture and dependencies
- • Mapping of which technical levers matter first in your context
- • Recommendation for the next practical step (e.g. EHDS Technical Readiness Review)
Note: This page provides technical and factual context. It does not replace legal advice. For binding legal interpretation, consult specialised legal counsel.
FAQ
Who is this useful for?
For teams in clinics, research organisations, or biotech companies that want to introduce AI or data-intensive workflows but hesitate with cloud setups due to privacy or governance concerns.
Is this a certification or legal review?
No. We provide technical analysis and implementation support. Legal interpretation remains with specialised counsel and privacy experts.
Does everything need to be on-premise?
Not necessarily. We map with you which components should be local or tightly controlled based on risk and governance.
Clarify what matters technically first
Short intro call, clear next steps, no marketing fluff.
Request an intro callSend a direct message
No spam. No resale. Technical assessment only.