Use Case: Sovereign AI

The Verification
Gap

End "sovereignty washing". Prove exactly where your data is processed and exactly which model is serving your requests.

The Strategic Context

The AI Black Box

Remote AI is currently a "Black Box." When you send data to a model API, you have no technical guarantee that the data remains within your borders, or that the model responding is actually the one you paid for. Traditional "Trust Me" SLAs provide no protection against hardware spoofing or data rerouting.

Lucid bridges the verification gap with physics-based proof of location and identity. We ensure that AI models are tied to physical silicon with cryptographic certainty, enabling true Sovereign AI infrastructure for national and enterprise interests.

The Technical Mechanism

Silicon Identity:

Every AI request is signed by the unique private key burned into the GPU's hardware (TEE), proving the workload ran on authentic hardware.

RTT Triangulation:

Verify server location via continuous Round Trip Time (RTT) measurements. Physics-based proof that compute is happening within your borders.

Violation Flagging:

Instant cryptographic proof of any attempt to migrate the workload to unauthorized hardware, triggering immediate data wipe.

The Lucid Argument

Sovereignty as a Product

In an unstable geopolitical world, sovereignty is no longer a compliance checkbox—it is a competitive necessity. Lucid transforms sovereignty from a legal promise into a verifiable technical product.

Hardware
Root of Trust

Rely on the laws of physics and mathematics, not the promises of service providers.

100%
Model Integrity

Cryptographically prove that your data was processed by the exact model version you authorized.

Global
Deployment

Deploy on any global cloud provider while maintaining local jurisdictional control.

OECD
AI Principles
Framework for innovative
and trustworthy AI.
EO 14110
Federal Order
Safe, secure, and trustworthy
AI development in the US.
Schrems II
Data Residency
Technical supplementary measures
via speed-of-light verification.
NIST
AI 600-1
Managing the risk of
generative AI systems.

Empower Your Sovereign AI

Build user trust through hardware-rooted evidence of data residency and model integrity. Reach out to secure your AI future.