Aligned with the AI Act. Designed for real decisions.

The Neural Foundation is a cognitive governance framework that defines how Artificial Intelligence thinks, learns and supports decision-making, ensuring human responsibility, predictability and control — from the ground up.

This is not about “controlling outputs”, but about governing AI behaviour when it influences decisions with real-world impact.

⚖️ Structural alignment with the AI Act

The Neural Foundation architecture is aligned with the core principles of the European AI Act:

• Explicit human responsibility
• Clear limitation of AI autonomy
• Separation between idea, hypothesis and decision
• Explainability and auditability
• Risk proportionality
• Reversibility and the right to be forgotten

This alignment is not achieved through legal checklists, but through behaviour governed by architecture.

🔍 What changes in practice

• AI does not decide — it only supports
• It does not accumulate memory automatically
• It does not confuse ideas with facts
• It does not simulate agency or authority
• It always returns the decision to the human

Every suggestion is contextualised. Every decision is human. Every step is auditable.

🛡️ Designed for sensitive contexts

The Neural Foundation was designed for environments where errors carry real cost: companies and organisations, regulated contexts, strategic decisions, and professional or institutional use of AI. Where “the AI decided” is not acceptable.

🌍 Ready for today. Sustainable for the future.

While many systems will need retrofitting as regulation evolves, the Neural Foundation already operates according to the principles the AI Act seeks to enforce.

This is not a compliance layer. It is a cognitive constitution for the responsible use of AI.