The AI infrastructure market is consolidating fast, and most of the major providers are US-based, proprietary, and designed for scale at the expense of specificity. That's fine for a lot of use cases. But "fine for a lot of use cases" isn't the same as "right for yours."

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When building AI-powered applications in regulated industries, the common claim 'we don't train on your data' is insufficient. Zero data retention (ZDR) means no prompt or response content is written to persistent storage after inference completes — a stronger guarantee than simply opting out of model training. GDPR Article 5(1)(e) and the EU AI Act increasingly require this level of control. Regolo.ai, built by Italian cloud company Seeweb, implements ZDR as an architectural property: requests flow through to GPU inference, responses are returned, and nothing is persisted beyond minimal billing metadata. Conversation state becomes the developer's responsibility. A real-world example is Aegis by Euraika, a compliance management platform that uses Regolo.ai to handle sensitive regulatory data without creating data governance problems. The platform offers standard API compatibility, open-weight models, EU data residency, and pay-as-you-go or flat monthly pricing with a 30-day free trial.

“We Don’t Store Your Data” Isn’t Enough: How Regolo.ai’s Zero Data Retention Policy Actually Works

The Problem With “We Don’t Train on Your Data”

Zero Retention vs. Zero Logging: Know the Difference