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LoadingOn-premise, in-cloud, or hybrid. We engineer the right deployment surface for secure AI, then build and run it. The surface is a decision, and we make it with you, aligned to the NIST AI Risk Management Framework.
Self-hosted AI in your own datacenter and at the edge, with full control and full isolation.
Cloud-native AI across Azure, AWS, Google Cloud and more, built elastic, managed, and cost-governed.
The control of on-premise with the elasticity of cloud, so workloads run where they belong.
| Dimension | On-premise | In-cloud | Hybrid |
|---|---|---|---|
| Data control / PHI | Highest, stays in your boundary | Strong, BAA plus correct config | Placed by sensitivity |
| Cost model | CapEx, you own the hardware | OpEx, pay per use | CapEx base plus OpEx burst |
| Scaling | Planned and provisioned | Elastic, on demand | Steady on-prem, burst to cloud |
| Disaster recovery | Self-provisioned | On-demand, tighter RTO/RPO | Cloud DR for on-prem workloads |
| Best for | Steady, high-utilization, highly regulated | Variable, fast-moving, scale-first | Mixed estates, governed experimentation |
| Compliance posture | Isolation and air-gap options | Provider attestations plus your controls | Data placement plus unified policy |
Data control / PHI
Cost model
Scaling
Disaster recovery
Best for
Compliance posture
Tell us your workloads, data, and obligations and we will recommend where AI should run.