Sovereign AI is Owning your AI
What Sovereign AI means is that you own your agents, models, data, and results. Run them anywhere, from the cloud to fully air-gapped, without handing your AI to someone else's cloud.
- Sovereign AI means an organization owns its AI: the agents, models, data, and results, and can run them anywhere from the cloud to fully air-gapped.
- Air-gapped deployment is one endpoint of run-anywhere, not the definition of sovereign AI. Ownership is the definition.
- Policy analysts, including IISS, CNAS, Stanford HAI, and Brookings, define AI sovereignty as strategic autonomy across compute, models, data, talent, and governance, a spectrum rather than a binary.
- Ownership means owning the learning, not just data residency. The intellectual capital your AI produces stays yours.
- H2O is the Trusted Sovereign AI Platform: predictive, generative, and agentic AI in one system, with observability built in, run on your terms.
Rent it, and the AI you paid for never really becomes yours.
The model sits in a vendor's cloud, your data goes to it, and a rival on the same platform can learn from what you send. Four costs follow.
- 01RentedYou rent intelligence you could own. The bill scales with usage and outruns the value, and you keep none of the learning when the contract ends.
- 02ExposedYour data leaves your walls to reach the model. A vendor, or a competitor on the same cloud, learns from what you send it.
- 03CaptiveOne provider's cloud, models, and hardware. Every new workload deepens the lock-in, and switching means rebuilding from the start.
- 04OpaqueYou cannot diagnose, debug, or explain a system you do not control. Risk review stalls, and the regulator's question goes unanswered.
Your AI. Your destiny. Your call.
You own the agents, models, data, and results, and run them on infrastructure you control, from the public cloud to fully air-gapped. Nothing leaves your walls to make them work.
- AgentsThe agents you build stay yours. The H2O AI Super Agent orchestrates them as one, governed and audited, running where your data already lives.H2O AI Super Agent
- ModelsOpen source at the foundation and model agnostic. Fine-tune on your own data and keep the weights. No vendor owns your model.h2oGPTeH2O-3
- DataThe model comes to your data, not the other way around. Nothing leaves your walls to train, tune, or serve a prediction.Feature Store
- ResultsYou own the learning, not just the inputs. The intellectual capital your AI produces stays yours, and compounds inside your walls.MLOpsEval Studio
You operate it, or H2O AI operates it for you.
Same platform either way: the same capabilities, the same governance, and the same audit trail. The choice stays open, so you can switch between them as the business changes, without rebuilding what runs on top.
H2O AI Cloud for Government
The H2O AI Cloud for Government has achieved FedRAMP High Certification, delivering the highest standard of cloud security so federal agencies can harness predictive and generative AI without compromising data sovereignty or compliance.
Owned, in production, where the numbers are audited.
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Financial services · Commonwealth Bank of Australia76%cut in scam losses30% less fraud, and 16M+ customers scored in real time. Predictive and generative AI running across the bank, owned and operated by the bank.Read the case study :quality(75))
Telecommunications · AT&T91%accuracy for 35% of the prior cost465 PB of daily traffic and a fine-tuned model at 91% accuracy for 35% of the prior cost. The Feature Store was co-developed with AT&T's own data teams.Read the case study One platform: predictive, generative, and agentic, with observability across all of it.
The H2O AI Super Agent orchestrates all four capabilities as one system, governed and observable end to end.
The orchestration core
The core where Predictive, Generative, Agentic AI, and Observability converge. One agent reaches across all four to run the whole platform.
Questions people ask about sovereign AI.
Sovereign AI is AI an organization owns and controls end to end: the agents, models, data, and results, running on infrastructure it selects, from the public cloud to a fully air-gapped environment. Ownership, not location, is the definition.
Own your AI. Bring a dataset and see it run in your environment.
We will run predictive, generative, and agentic AI on your data, in your cloud or fully air-gapped, with the ownership and audit trail intact.