aiqbench analysis

This release introduces a specialized knowledge engine that pre-compiles scattered business documents into structured layers specifically optimized for AI agent retrieval loops. By shifting token expenditure from every query to an initial curation step, the technology directly addresses efficiency and accuracy bottlenecks in enterprise RAG architectures without altering core model weights or inference logic. The primary value lies in enabling agents to synthesize complex multi-source reasoning tasks—such as legal doctrine analysis—with significantly reduced latency and cost compared to standard vector search approaches.