A leading bio pharma company struggled with retrieving specific-format information from complex datasets. Difficulty in storing and accessing the relevant information ultimately hampered their drug repurposing efforts and delayed their research and analysis.

To address these challenges, e-Zest implemented a Generative AI-based platform called Knowledge Mesh. Its key features include natural language querying and data discovery. It quickly understands language queries and retrieves the relevant data, allowing clinicians and scientists to efficiently access and analyze data.

Knowledge Mesh led to significant business outcomes.

• Approx. 50% reduction in data retrieval time
• Increased productivity
• Approx. 25% improvement in identifying potential drug candidates for repurposing

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