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2 min read

Private AI On-Prem: Why It Matters

by Dexal LLC

Cloud AI sends your data to someone else's servers. On-premises AI keeps everything inside your network — here's why that distinction matters for your business.

Private AI On-Prem: Why It Matters

When a business runs AI in the cloud, it’s not just compute that’s shared — often it’s _your data_ too. Modern AI services typically require you to send text, documents, or database contents to someone else’s servers. That model makes sense for quick prototyping, but for any organization handling sensitive information it introduces real risk:
  • Data exposure: Chat logs, contracts, financials, or health records may be stored or used to improve the service.
  • Compliance risk: Many industries (finance, legal, healthcare) require data to remain within your control.
  • Vendor lock-in: Once your workflows depend on a single API, you’re tied to their pricing, terms, and uptime.

Running AI on your own hardware changes the trust boundary

With on-prem deployments, you can:
  • Keep all data inside your network.
  • Audit what runs where.
  • Control backups, retention, and access.
Dexal's platform is fully managed by default — nothing to install or maintain. For organizations with strict compliance requirements, a self-hosted AI option is available, scoped through an Enterprise agreement, so the AI layer runs on infrastructure you control while the rest of the platform stays managed. --- If you want to talk through whether this fits your setup, <a href="/contact">get in touch</a> and we'll walk through what's possible.

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