These skills include instructions for querying and summarizing scientific literature, retrieving chemical and molecular data, performing similarity searches across compounds, and synthesizing evidence across sources.
The system combines these agents and skills with external data sources such as OpenTargets, PubMed, and PubChem, accessed via MCP, allowing agents to retrieve and reason over both proprietary and public scientific data.
In doing so, AiChemy brings these data access, orchestration, and analysis in a single, governed environment, which Databricks says will help researchers in pharma companies surface relevant insights from disparate datasets without losing context, in turn accelerating tasks like target identification and candidate evaluation.
