





A global enterprise software company with over 10,000 employees was losing hundreds of hours per week to inefficient internal search. Employees struggled to find relevant documentation, policies, and technical resources across their sprawling knowledge base of wikis, documents, and ticketing systems.
Cognitivi implemented a unified search layer with query understanding, synonym expansion, and semantic re-ranking. We built custom relevance models trained on internal usage data and integrated real-time feedback loops. The result: a 3x improvement in search success rate and an estimated annual savings of over $2M in recovered productivity.
December 09, 2020
Global Enterprise Software Company
New York, USA
Explore how we have delivered measurable search relevance improvements for companies across industries.