Where Does Your Data Go?
Public AI API
To the AI provider
Prompts, files, and embeddings are sent to the provider for processing.
Private 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.Compare where data is processed, who controls the service, and which evidence your teams can review.
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.
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.
Put high-value AI use cases into production with clear goals, measurable results, and a practical plan to scale.
Choose models by task, performance, and cost. Adapt your model portfolio as business needs evolve.
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.Manage access, policies, encryption keys, and deployment locations through your organization’s controls.
Review data movement, access, AI actions, and performance in your own records.Inspect data movement, access, AI actions, and performance in your own records. Use that evidence for oversight, audits, and operational decisions.
Start with one use case, named owners, and a practical production plan.Start with one use case, named owners, and agreed success measures. Validate the results and production plan before expanding.
Three Ways to Run Private AI
Compare control, model choice, cost, and who runs your AI.Every option balances privacy, model choice, cost, and speed differently. Choose the path that fits your business.
A fast start, managed by the provider.A fast start for experimentation
Best for: Early pilots and lower-risk use cases
Full control. Your team builds and runs it.Full architectural freedom. Dedicated ownership.
Best for: Large internal AI teamsCompanies with a large internal AI team
Your control. One integrated platform.Customer control. An integrated platform.
Best for: Regulated enterprises moving beyond pilotsRegulated enterprises ready to move beyond pilots
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