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A financial services organization was spending 40+ hours every week manually processing requests for trading exchange holiday calendars. Every request required employees to interpret emails, identify exchanges, map them to official MIC codes, generate the relevant data, and prepare a response.
An industrial equipment company had decades of technical documentation locked in PDFs and images, needing to transform the repository into an accessible, searchable asset. This created knowledge silos, customer delays, and more. The solution is a “machine guru”, reducing search time by making every document queryable through natural language.