Platform Company knowledge Integrations and apps The AI model Data and compliance Explore How it works Who it's for Case studies
Request information
Leggi in italiano
Home/Platform/Data and compliance
European infrastructure

Your data, where it has to stay.

For many European companies, compliance is the first objection that stops any conversation about AI. It is not a selling point: it is the condition for having the conversation at all.

Compliance is a guarantee already included.

Process data does not leave the Union. GDPR and the AI Act are part of the architecture, not a layer added afterwards.

Data in the EU

Knowledge graph on European infrastructure, with traffic outside the EU minimised.

Per-Brain permissions

Who sees and asks what is defined Brain by Brain: one department is not exposed to the others.

Full audit log

Every AI operation is logged, with role-based access control.

Human control

No automatic action without supervision: every proposal requires confirmation.

Customer isolation

Data segregated per organisation, and no training of public or third-party models.

Deletion and portability

Explicit control over deletion and export, at any time.

27 member states · three data regions
AI Act

Compliant along the whole European timeline.

  1. Aug 2024 The AI Act enters into force

    The countdown begins: every European company using AI has a deadline to work towards.

  2. Feb 2025 Prohibited practices banned

    Unacceptable-risk systems become illegal: the first line nobody can cross.

  3. Aug 2025 Obligations for GPAI models

    Transparency and documentation for general-purpose models, which everything else rests on.

  4. Aug 2026 Transparency obligations

    Anyone interacting with an AI system, or seeing its content, must be able to recognise it.

  5. Dec 2027Next milestone Obligations for high-risk systems

    The Digital Omnibus moved them from August 2026 to December 2027. DBRAINS is designed to meet them already.

Only approved output leaves the knowledge

Connectors send drafts, reports and structured data, never raw knowledge. Every transfer is logged.

Dedicated model, isolated

With vertical fine-tuning the model sits on a server dedicated to the customer: training data, model and output all stay there.

Do you have compliance constraints to meet?

We show you in detail where the data lives, who accesses what, and how the architecture answers GDPR and the AI Act.

Request information Back to home