A biotech built a cross-species knowledge graph on Polly KG and prioritized five targets in six months.

Siloed, non-model datasets could not be unified or queried for cross-species insight. Elucidata built an ETL pipeline and a production-scale Polly Knowledge Graph with natural-language querying and a transparent target-ranking framework. The page reports a graph of about 31M nodes and 60M relationships in six months, five prioritized targets and a PDE4 inhibitor repurposing opportunity.

Elucidata is a biomedical data company whose Polly platform harmonizes and curates omics and clinical data for AI-driven target discovery.

This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.