One architecture, many environments
The same Institutional Intelligence Architecture runs across a spectrum of trust and residency requirements. The deployment model changes where data lives and who operates the environment — it does not change the layers above it. That separation is what lets security posture evolve without an application rewrite.
Compare deployment models
Select a model to see its data residency, latency, control posture, ideal use cases, trade-offs, and the industries that most often adopt it.
Hybrid
Sensitive data and inference stay local; scale bursts to cloud.
Sensitive tiers on-premise, elastic tiers in cloud
Local for critical paths, elastic for the rest
Organization retains control of the sensitive tier
Best for
- Mixed sensitivity
- Gradual migration
- Cost/performance balance
Trade-offs
The most flexible model. Requires clear data classification so the split between local and cloud tiers stays principled.
How to choose
Start from the most sensitive data the system must reason over and the regulatory boundary it sits within. That constraint sets the floor: classified or export-controlled data points to air-gapped or sovereign; strict national residency points to sovereign; existing data-center investment and OT proximity favor on-premise or hybrid; and where residency can be met contractually, managed cloud offers the fastest path to value. Most organizations land on hybrid, keeping sensitive tiers local while bursting elastic workloads to the cloud.