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Private AI for regulated enterprises

Run Private AI inside your boundary.

Your cloud. Your data center. Your air-gap. Your AI and data stay with you. Audit evidence does too.

Know What You’re Choosing

Public AI Was Not Built for Enterprise Control

Know where data goes, who controls it, and what you can verify.

Public AI API

To the AI provider

Prompts, files, and embeddings go to the provider.

Private AI

Stays with you

Your data stays in your cloud, data center, or private network.

Public AI API

The AI provider

The provider sets model availability, service rules, and prices.

Private AI

Your team

You control access, data rules, keys, and where AI runs.

Public AI API

Provider-supplied evidence

Review the provider’s reports and documentation.

Private AI

Direct operational evidence

Inspect data use, access, and AI performance yourself.

Your AI Clusters. Connected Worldwide.

Run AI across clouds and countries. Keep data local and manage it all from one place.

How It Works

  • Run AI in your cloud, data center, or fully disconnected network.
  • Keep prompts, files, business knowledge, and models under your control.
  • Manage models, agents, access, policies, audits, and service health.

Multiple Regions

Multiple Clouds

Cloud + Data Center

Fully Offline

Built for Business

Put Private AI to Work Across Your Business

Move beyond experiments with AI your teams can use, your leaders can trust, and your business can scale.

From Pilots to Real Results

Put high-value AI use cases into production with clear goals, measurable results, and a practical plan to scale.

Choose the Best AI for Every Job

Choose models by task, performance, and cost. Adapt your model portfolio as business needs evolve.

Know What Your AI Is Doing

See where data goes, who has access, what AI agents do, and what your AI costs.

Why Iftah Is Different

01

You Stay in Control

Your team controls access, policies, keys, and where AI runs.

02

Review AI Activity With Direct Evidence

Review data movement, access, AI actions, and performance in your own records.

03

A Clear Path to Production

Start with one use case, named owners, and a practical production plan.

Three Ways to Run Private AI

How Much Control Do You Want Over Your AI?

Compare control, model choice, cost, and who runs your AI.

Cloud Provider AI

A fast start, managed by the provider.

  • Data processed by the provider
  • Models from the provider’s catalog
  • Agents follow the provider’s rules
  • Costs grow with usage

Best for: Early pilots and lower-risk use cases

Build Your Own

Full control. Your team builds and runs it.

  • Keep data on your infrastructure
  • Choose and manage any model
  • Build your own agent safeguards
  • Fund infrastructure and specialist teams

Best for: Large internal AI teams

Best Balance

Iftah Private AI

Your control. One integrated platform.

  • Your data stays with you
  • Any model. No lock-in.
  • AI agents follow your rules
  • Control your AI spending
  • Review-ready evidence built in
  • Production in up to 90 days

Best for: Regulated enterprises moving beyond pilots

Next step

Start with one controlled workload.