Where Does Your Data Go?
Public AI API
To the AI provider
Prompts, files, and embeddings are sent to the provider for processing.
Customer-controlled AI
Stays with you
Your data stays in your cloud, data center, or private network.
Private AI for regulated enterprises
Your cloud. Your data center. Your air-gap. Your AI and data stay with you. Audit evidence does too.Your cloud. Your data center. Your air-gap. Your AI and data stay with you. Audit evidence does too.
Know What You’re Choosing
Know where data goes, who controls it, and what you can verify.Before model quality or features, know where your 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.
Customer-controlled AI
Stays with you
Your data stays in your cloud, data center, or private network.
Run AI across clouds and countries. Keep data local and manage it all from one place.Run AI across countries, clouds, and data centers—while keeping local data private and global operations under control.
How It Works
Multiple Regions
Multiple Clouds
Cloud + Data Center
Fully Offline
Multiple Regions
Multiple Clouds
Cloud + Data Center
Fully Offline
Built for Business
Move beyond experiments with AI your teams can use, your leaders can trust, and your business can scale.
Take your strongest AI ideas into everyday use with clear goals, measurable value, and a practical path to grow.
Use the model that fits each task and switch anytime—without being locked into one provider.
See where data goes, who has access, what AI agents do, and what your AI costs.
Your team controls access, policies, keys, and where AI runs.With managed AI services, the provider stays in control. With Iftah, your team controls access, policies, encryption keys, and where your AI runs.
Review data movement, access, AI actions, and performance in your own records.Clear records show where data moved, who accessed it, what the AI did, and how it performed. Your team can review and share that evidence on its own terms.
Start with one use case, named owners, and a practical production plan.We start with one use case in one location. You get clear owners, review materials, and a plan for production before any discussion about scale or long-term commitment.
Three Ways to Run Private AI
Every option balances privacy, model choice, cost, and speed differently. Choose the path that fits your business.
Fastest for early experiments
Best for: Early pilots and lower-risk use cases
Maximum control. Maximum responsibility.
Best for: Companies with a large internal AI team
Control without the build burden
Best for: Regulated enterprises ready to move beyond pilots
Next step