Adastra
131 Case Studies
A Adastra Case Study
KWS, a leading global plant breeding company, faced a significant challenge in efficiently managing and extracting relevant knowledge from a vast repository of unstructured documents. This cumbersome process hindered their R&D department's ability to quickly access necessary information, making it inefficient and time-consuming. To address this, KWS sought a solution from vendor Adastra to streamline information retrieval.
Adastra developed a custom enterprise search solution leveraging AWS Cloud and Amazon Bedrock Generative AI. This allowed KWS research teams to conduct contextual searches integrated directly into MS Teams. The solution significantly reduced the time required to extract knowledge from documents, saving hours daily and providing fast, reliable responses to complex queries, which greatly enhanced efficiency and reduced workloads for end-users.