Case Study: MarketResearch.com achieves better search accuracy and semantic AI-driven insights with Elastic

A Elastic Case Study

Preview of the MarketResearch.com Case Study

MarketResearch.com uses Elastic to search millions of documents on its subscription platform Profound and provide customers with critical information about markets, competitors, and consumers

MarketResearch.com, a leading provider of global market intelligence through its Profound subscription platform, needed a more accurate, scalable search solution to handle millions of long-form market research documents and keep up with rising expectations for AI-powered discovery. The company selected Elastic Search to replace its legacy platform and support its move from keyword search to more advanced semantic search.

With Elastic, MarketResearch.com deployed Reciprocal Rank Fusion, vector, keyword, and semantic search on Elastic Cloud and Microsoft Azure, helping improve relevance and prepare its data for generative AI use cases. The implementation scales to more than 60 million documents, exceeded the query volume of the previous system within months, and enables faster processing of large workloads—up to 16 machine learning nodes and weekly reprocessing—while improving search accuracy and user experience.


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MarketResearch.com

Rob Granader

CEO and Founder


Elastic

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