Glean's internal benchmark shows its AI coworker tool is preferred 2.5 times more often than off-the-shelf solutions when integrated with Claude Cowork. The company's centralized index and knowledge graph approach proved more efficient, consuming 30% fewer tokens than federated search methods. This efficiency is crucial as AI coworker token consumption rises, impacting enterprise costs. AI
IMPACT Highlights the importance of context and indexing for AI coworker efficiency and cost-effectiveness.
RANK_REASON The cluster reports on a benchmark study conducted by Glean comparing its own product against industry-standard tools. [lever_c_demoted from research: ic=1 ai=1.0]
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