Europe's AI paralysis has a solution - and it starts with a semantic twin

**TL;DR:** Europe's AI paralysis has a solution - and it starts with a semantic twin

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Most large European enterprises have no shortage of AI ambition, but they lack the data foundation to support it. Fragmented legacy systems, strict GDPR obligations, and anxiety about handing sensitive data to foreign cloud infrastructure have left many IT leaders running the same modernization projects on a loop, stuck in AI pilot purgatory before they reach production. Onix, a leading services-as-software data and AI specialist, thinks it has the answer.

The outfit is rolling out Wingspan across the UK and Europe this summer, built around a proprietary technology it calls the Semantic Twin: a continuously updated intelligence layer that maps an organization's entire data landscape, system relationships, and business context, then uses that foundation to give AI agents the grounding they need to work. To find out what that means in practice, Onix's EMEA managing director, Vittorio Sanvito, answers IT and compliance leaders' most pressing questions.

Q: With Google Cloud seeing significant, high-growth demand, why is now the critical moment for Onix to make this unified push across the continent? A: The European tech sector is at a pivotal moment. Market demand is undeniable: Google

Source: The Register

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Last updated: June 16, 2026.

Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.

Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.