SAN DIEGO, CA – Quick Custom Intelligence (QCI) has expanded its private AI initiative designed to help tribal gaming organizations adopt generative AI while maintaining ownership and control of their operational knowledge.
QCI’s framework combines privately deployable large language model (LLM) technology with support for emerging Model Context Protocol (MCP) standards, enabling tribal enterprises to integrate generative AI into business operations without exposing sensitive institutional knowledge to public AI ecosystems. The initiative comes as concerns around AI governance, knowledge leakage, and ownership of generative data continue to grow across the gaming and hospitality industries.
“Generative AI can now learn from the operational knowledge inside organizations,” said Andrew Cardno, Co-Founder and CTO of QCI. “The critical question for tribal enterprises is whether that knowledge remains sovereign.”
QCI’s private AI approach is designed to help tribal nations leverage AI productivity gains while protecting governance practices, operational strategy, and enterprise intelligence from external model training and knowledge replication.
“Tribal enterprises should benefit from AI without surrendering the operational blueprint that makes them unique,” said Cardno.
