AI and data use

Overview

SupraOS uses intelligence to support planning, summarization, classification, and controlled execution. Governance and proof are intended to remain the safety harness.

Core public commitments

• SupraOS is designed to be model-aware and governance-first.
• Customer data is not used to train shared models by default.
• Higher-risk actions are intended to be governed by policy, approvals, and controlled execution paths.
• Model output should not be treated as truth by default.

Customer choice

Deployment and model choices can be aligned to the customer’s security and compliance requirements where supported by the engagement.

What we avoid overclaiming

• Full autonomy without governance
• Model infallibility
• Universal model-provider support unless real
• Production guarantees that do not exist