Core systems in Germany
App and backend infrastructure run on German server locations. Central platform components stay within a German operating environment.
Priviq AI is built for teams working with sensitive client, financial and corporate data. Core systems run in Germany, AI inference is configured EU-bound for EU workloads, customer data is not used for model training, and relevant AI steps remain traceable.
Priviq AI combines German infrastructure, EU-bound model processing, access controls, encryption and traceable agent actions into a controlled AI environment for professional data.
App and backend infrastructure run on German server locations. Central platform components stay within a German operating environment.
AI inference is configured for production EU workloads through EU-bound regions and profiles. Sensitive customer data is not unnecessarily processed via global model routes.
Priviq AI does not use customer data to train its own or third-party AI models. Inputs, files and results serve only the processing of the respective task.
Data is separated by organisation, user role and engagement context. Priviq AI is not designed for loose individual chats, but for controlled work with confidential client, audit and corporate data.
Data in transit is processed TLS-protected. Data at rest is encrypted via the database, storage and infrastructure mechanisms in use.
Access is controlled through roles, permissions and administrative restrictions. Users only get access to the data and functions they need for their work context.
Agent runs, relevant tool calls, model use and results can be logged. This keeps it traceable how a result came about and which steps the AI executed.
Priviq AI does not work blindly on production data. Agents create a plan, wait for approval and execute tasks under control — with validation before results are accepted.
Priviq AI is developed for professional use in European businesses — with German infrastructure, EU-bound AI processing, processing under Art. 28 GDPR, documented technical and organisational measures, and clear control over sub-processors.
The platform is built GDPR-compliant. ISO 27001 certification is currently in the ongoing certification process.
A data processing agreement including technical and organisational measures is provided for customers. Data-protection roles, processing purposes and engaged sub-processors are properly documented.
Security and data-protection measures are described in TOMs: access controls, encryption, tenant separation, backup and operational processes, and organisational responsibilities.
Priviq AI is currently in the ISO 27001 certification process. The required security processes, documentation and control systems are being implemented accordingly.
Priviq AI supports customers with internal data-protection, IT-security and vendor-risk reviews with the relevant documents on architecture, data flows, sub-processors and security measures.
Priviq AI provides the relevant information so that data protection, IT security, procurement and the business unit can properly evaluate the solution before deployment — structured, documented and with clear contacts.
We walk through hosting, model routing, data flows, permissions, sub-processors and audit logs in a structured security briefing.
Customers receive the relevant data-protection documents for their internal review, including DPA, TOMs and information on engaged sub-processors.
We support internal security, data-protection and vendor-risk questionnaires before contract conclusion.