Whitepaper
Caber's AI Data Control Architecture and Product Overview
This technical overview defines Caber's AI Data Control architecture and the structural requirements necessary to govern data contribution at inference time. It explains why control signals such as policy, relevance, semantic meaning, business context, and usage-derived feedback must be evaluated together, and why specific integration patterns and latency constraints are unavoidable for closed-loop control of data fragments in enterprise AI systems.

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