Every technology stack has its invisible backbone. In AI today, that layer doesn’t fully exist yet. Modern AI runs on centralised rails. Every model deployment, every API call, every training run — governed by proprietary infrastructure, closed datasets, and cloud monopolies. What we call “AI progress” is often just throughput increases inside walled gardens. And
Artificial intelligence thrives on context. Models deprived of contextual clarity quickly become ineffective, inefficient, and at worst—irrelevant. But achieving optimal contextual integration remains a significant technical challenge in contemporary AI systems. SYNNQ aims to overcome this limitation by strategically incorporating the Model Context Protocol (MCP), a cutting-edge, open-source protocol designed to manage, orchestrate, and enrich
Europe today stands at a crossroads when it comes to artificial intelligence. With new challenges posed by stringent privacy regulations (GDPR and EU AI Act) and the pressure to compete on a global stage, European institutions are rethinking their approach to AI innovation. “The future of AI is a political issue and an issue of
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