Secure AI portal

Keep your AI data inside your network.

Run ChatGPT, Copilot, Claude, Gemini, and custom AI assistants entirely within your own network, so sensitive data never leaves your security perimeter.

What you get

  • An example network diagram for an on-network deployment
  • Options for Azure, AWS, Google Cloud, IBM, or private infrastructure
  • A clear view of how data, prompts, and logs stay inside your boundary
ChatGPT Copilot Claude Gemini Grok Perplexity Open Models Custom Models Structured AI Assistants

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Example network diagram

See how AI runs inside your own Azure tenant.

Staff sign in with Microsoft 365, and developers connect their IDEs through the MultiModel API. Every request passes through MultiModel’s guardrails inside your tenant before it reaches the models in your own Azure Foundry. Models outside Azure, such as Gemini and Perplexity, sit outside your tenant.

  • Your data stays in your tenant. Prompts, files, and logs stay inside the boundary you already secure.
  • One set of guardrails. DLP redaction, logging, and policy apply to the portal and the API alike, whichever model is used.
  • No new data agreements. Your existing cloud controls, retention, and access policies already apply.
Your secure AI ecosystem

A private AI portal in the cloud you already trust.

Connect the best AI models directly inside your Microsoft Azure, AWS, Google Cloud, or private infrastructure. Every query, response, and log stays inside your trusted infrastructure.

Stop sensitive data leaking

Applications and AI models are hosted in your cloud infrastructure (Azure, AWS, Google Cloud, IBM, and more), so no sensitive data leaves your defined security perimeter.

Automated AI guardrails

Protect sensitive information with customizable auto-redaction and control over Internal and External models, so AI use follows your policy.

Compliance-ready from day one

Designed to help you meet strict industry and regulatory standards, including SOC, GDPR, HIPAA, and PCI DSS.

Fast, flexible deployment

Get your private AI portal running in under 30 minutes. Connect internal and external assistants, including your own custom RAG file-search models.

Internal vs external AI

Stricter rules for models outside your walls.

Your staff choose between internal, self-hosted AI and external AI in the same portal. Sensitive values are flagged and replaced before anything is sent to an External model.

Data loss prevention
Audit trail

Logs that stay on your side of the boundary.

Prompt history is auditable and searchable by user, group, model, and category, and stored in your own infrastructure.

Security & compliance
FAQ

AI on your network: FAQ

Straight answers for CIOs, CISOs, and compliance officers evaluating AI.

Talk to us
Where can MultiModel be deployed?

In cloud, hybrid, and on-premise environments. The portal and AI models can be hosted in your own Microsoft Azure, AWS, Google Cloud, IBM, or private infrastructure, so every query, response, and log stays inside it.

Can we host our own ChatGPT or Claude models?

Yes. You can deploy your own ChatGPT or Claude models on Azure in your tenant. Use the Azure price estimate to size the model costs.

Can we still use external AI models?

Yes. You can connect internal and external assistants side by side, and apply stricter filtering and auto-redaction to external (SaaS) models than to the ones you host yourself.

How long does deployment take?

A private AI portal can be running in under 30 minutes. Connecting your SSO, models, and policies depends on your environment, and we work through it with your team.

Which single sign-on providers are supported?

Virtually every approach, from Microsoft Entra ID and Okta to Active Directory.

What support is available?

MultiModel offers documentation, email, chat, and face-to-face support based on your needs. Talk to us to learn more.

See AI running inside your perimeter.

Talk to us and we'll walk through a deployment in your cloud, with your SSO, your data boundary, and your policies.

Talk to us