Private AI stack
Responsible use of AI with control and governance
The Xuntos Private AI Stack is designed for organizations where AI directly affects responsibility. Where AI influences decision making, providing information and professional judgment. This applies to public institutions and to business service providers such as law firms, accountants, consultants and financial service providers.
The stack makes it possible to apply AI within clear frameworks.
What is the private AI Stack?
The Xuntos Private AI Stack is not a separate tool, but a coherent foundation for responsible use of AI. One safe environment for your organization.
The stack was built from a number of fixed principles:
Safe & Sovereign
Built on European infrastructure with data residency, encryption, and zero-trust architectures.
→ You maintain full control over data, risks and legal compliance
People-Centered & Transparent
Digital assistants work in an explainable way with people and processes, with real-time monitoring and explainability.
→ Every decision remains transparent, explainable and in line with human values.
Responsible & Compliant
Governance engine continuously monitors the ethical and legal framework of each AI system.
→ AI Act, AVG, and NIS2 compliance are built into the stack's foundation.
Interoperable & Controllable
Connects multiple AI models via secure APIs and open standards.
→ Flexible integration without vendor lock-in, with central control over all AI processes.
Why a Private AI Stack?
AI is increasingly being used as part of digital services and professional decision-making. Not only in education and government, but also in business services where knowledge, trust and liability are key.
Many AI applications are easy to use but difficult to control once they become part of core processes. Data is processed externally, considerations are difficult to reconstruct and supervision requires additional measures afterwards.
For public organizations, this concerns transparency and rule of law accountability. For business service providers, this concerns confidentiality, professional liability and protection of intellectual property. In either case, control over data, context, and decision making is essential.
The Xuntos Private AI Stack brings AI back into the organization.
- Data remains in Europe.
- Usage is transparent.
- Governance is built in.
Not to slow down innovation, but to make it possible responsibly.
Want to know more about responsible AI?
We are happy to help you get started and think along with you how your organization can accelerate digitally.
The European standard for responsible AI architecture. Together, we build applications that are safe, explainable and people-oriented.
Together. Scalable. Responsibly.
How does the Private AI Stack work?
The Xuntos Private AI Stack has been set up as a coherent platform where technology, governance and supervision are the same.
Retrieval AI as a basis
Answers and analyses are always generated from controlled source data. Internal documents, files and knowledge form the context. The model operates within this delineation and does not generate answers outside the available sources.
EU sovereign hosting
All data and processing remain within Europe, in accordance with the GDPR and relevant sector guidelines. This makes supervision, compliance and data management manageable for both public and business organizations.
Governance by design
Compliance, logging and auditability are part of the foundation. Decisions and interactions are traceable. This supports both public accountability and professional liability.
Modular and scalable
Organizations can start with one application and expand later. All use cases run on the same stack and follow the same governance agreements.
Responsibility as a foundation
Governance and supervision
Responsible use of AI requires structural supervision.
The Xuntos Private AI Stack is organized around six interrelated pillars:
- A policy framework with a clear scope and decision-making.
- A compliance framework aligned with AVG, AI Act and sector-specific requirements.
- Human supervision via dashboards and intervention options.
- Transparency towards users, including AI disclosure and source reference.
- Quality control with monitoring, feedback and bias detection.
- Security and privacy with access control, logging and incident response.
These elements work together as a whole and support both administrative supervision and professional risk management.
Risk-based use of AI
The AI Act requires a risk-based approach. The Private AI Stack supports this by applying the correct classification and associated measures for each application.
Chatbots, search functionality and internal support often fall under limited risk, with clear transparency requirements. Higher risk classes require additional checks. The stack makes it possible to manage these differences consistently.
Monitoring and maintaining
The AI Act requires a risk-based approach. The Private AI Stack supports this by applying the correct classification and associated measures for each application.
Chatbots, search functionality and internal support often fall under limited risk, with clear transparency requirements. Higher risk classes require additional checks. The stack makes it possible to manage these differences consistently.
For whom?
The Xuntos Private AI Stack is intended for organizations where AI affects responsibility.
Public organizations
Governments, educational institutions and healthcare organizations that want to use AI within the framework of transparency, supervision and public accountability.
Business services
Law firms, accountants, consultants and financial service providers who want to use AI without undermining confidentiality, liability or knowledge. For these organizations, AI is not an efficiency tool, but an extension of professional judgment.
Want to know more or do you have a question?
We are here to answer your questions
Implementation
Start with one digital assistant or compliance dashboard, and grow into a full-fledged AI ecosystem that adapts to your organization, risk profile, and growth strategy.
We let the implementation take place in phases and combines technology and organization.
- Preparation with intake, content analysis and governance setup.
- Structure and configuration of data, AI applications and monitoring.
- Testing and optimization, including security checks and DPIA.
- Phased go-live with active monitoring and evaluation.
During the process, knowledge transfer takes place, so that organizations keep control themselves.
We start with an intake in which data, processes and risks are discussed. Based on this, a concrete architectural sketch and implementation proposal follows.
Collaborate on AI applications?
We are happy to think along with you how your organization can accelerate digitally. Whether it's a UX, technical challenge or AI solutions. Send a message to Pascal van Assendelft - Bureau Manager Xuntos
Frequently asked questions
In advance, some explanation of specialist terms. If you have a question about our services, please contact us for an informal conversation.
A Private AI Stack is a safe and modular environment where AI applications run within the boundaries of your own organization. It provides full control over data, integrations and processes, so that AI can be deployed reliably, explainably and compliantly without being dependent on external platforms.
Organizations opt for a Private AI Stack when they want to deploy AI without sacrificing security, privacy, and governance. By keeping data and AI processes within your own infrastructure, there is more control, less risk and space to tailor AI applications to specific organizational needs.
A Private AI Stack is designed with safety and regulatory compliance as a starting point. Data access, integrations and AI behavior are transparent and manageable, allowing organizations to better comply with legislation such as the GDPR and be prepared for future AI regulations.
Yes, a Private AI Stack has been set up to connect to existing systems and infrastructures. This allows AI to be integrated into current workflows and applications without an organization having to completely change its IT landscape.