Bring AI to the data you can't move
Your most regulated records sit on the wrong side of the AI line because every model has to decrypt to compute.
For public sector and government
Citizen data, residency obligations, framework-by-framework compliance. Every new AI deployment is a fresh round of evidence collection your team handles by hand.
Sovereign deployment, attested decisions, framework mappings baked in.
Use cases for this audience
4 scenarios
Your most regulated records sit on the wrong side of the AI line because every model has to decrypt to compute.
Reinsurers, banks, hospitals, and governments want shared intelligence but can't legally pool the underlying records.
"Trust us, we logged it" doesn't pass a regulator anymore. You need signed, tamper-evident proof for every decision.
Defence, government, and regulated workloads can't legally move data outside their boundary. So they're locked out of AI entirely.
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FHE-native inference. Runtime agent guardrails. Continuous red teaming. One platform. Book a working session with the team.