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Insights23 min read

The Missing Layer: A Structural Gap in the AI Infrastructure Stack

by Jaepil Jeong | April 10, 2026

Between models and hardware lies an invisible structural gap — a data layer that should exist but doesn't. We examine why the current AI infrastructure stack is fragmented, why this is a structural problem rather than a transitional one, and what conditions a proper solution must satisfy. We then present UQA and the Cognica engine as one concrete response to these conditions.

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Insights4 min read

An AI Database That Works Identically On-Device

by Tim Yang | December 23, 2025

We examine the database architecture changes required by on-device AI. Just as SQLite was the answer for on-device computing, on-device AI requires a new database that integrates transactions, analytics, full-text search, and vector search. We explain why Cognica works identically on-device and on servers.

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