Enterprise AI in your own Azure cloud
AI in your own Azure tenant means the complete AI platform runs in your Azure environment — not at the provider. Data, models and workflows remain under your control, your security controls apply, and you have full code access. Combine product velocity with full sovereignty.
Why the cloud-native approach wins
Not another black-box SaaS tool — a platform that lives natively in your Azure infrastructure.
Full data sovereignty
Your data stays in your tenant. No AI provider sees it — you retain full control over processing, access and deletion.
Full code transparency
Complete access to the AI codebase — no black boxes. Your team can inspect, modify and extend. Zero vendor lock-in.
Multi-LLM — no lock-in
Model-agnostic: swap or combine OpenAI, Azure OpenAI, Anthropic, open-source and your own fine-tuned models — without code changes.
Leverage existing Azure investments
Entra ID, Key Vault, Azure DevOps, existing network security — the platform builds on your existing infrastructure rather than replacing it.
Live in days
Infrastructure-as-Code deployment means no months of IT project planning. First production use starts in days.
Land-and-expand model
Start with a proof of concept, prove value — then roll out to the entire workforce. No big-bang deployment.
Azure-native by design — runs in your own cloud tenant.
Your data, your infrastructure, your control.
Existing governance — effective immediately.
Because the platform runs in your tenant, Entra ID, RBAC, Key Vault and your network security apply immediately. No parallel structure, no data export, no additional compliance review for the provider.
Frequently asked questions about AI deployment in your own Azure tenant
Your AI. Your data. Your control.
Book a free consultation — we'll show you on your own use case how plugnpl.ai deploys in your Azure tenant in days.