The Problem
The current AI ecosystem is overwhelmingly cloud-centric.
While powerful, this architecture presents structural limits that will become critical in the coming decade.
1. Loss of Sovereignty and Control
Organizations are forced to rely on foreign cloud providers, exposing strategic data to external jurisdictions and reducing long-term autonomy.
2. High Latency and Fragility
Real-time applications — from industrial automation to national security — cannot depend on remote servers or unpredictable network paths.
3. Regulatory Pressure
The European AI Act, GDPR, NIS2 and future post-quantum policies demand transparent, traceable and sovereign AI processing — which cloud models struggle to meet.
4. Post-Quantum Threats
Future quantum computers risk compromising today's cryptography, making long-term cloud storage of sensitive data a major exposure.
5. Public Trust and Ethical Accountability
Centralized AI amplifies opacity, bias and misalignment, weakening societal confidence.
The world needs a new model — one designed for sovereignty, compliance, resilience and trust from the ground up.
Founders & Contact
Synaptical is currently developed as a research-driven initiative focused on distributed intelligence, sovereign AI and post-quantum security.
The project brings together expertise in artificial intelligence, edge computing, cryptography, distributed systems, ethics, and high-impact innovation.
Founder
Research Developer & AI Strategy Specialist
Background in AI, data science, distributed architectures, and complex project design across education, industry and public institutions.
Advisory Circle
• Technical contributors in distributed systems
• Researchers in AI ethics and governance
• Specialists in post-quantum cryptography
• Strategic advisors from industry and public administration