Session

AiChemy: How MCP-Powered Agents Cut Drug Discovery Research from Weeks to Minutes

Overview

ExperienceIn Person
TrackArtificial Intelligence & Agents
IndustryHealthcare & Life Sciences
TechnologiesAgent Bricks
Skill LevelBeginner
Drug discovery demands sifting through millions of compounds, thousands of papers, and dozens of databases—a process that costs the industry an average of $2.6B and over 10 years per approved drug. Researchers spend days cross-referencing OpenTargets for genetic evidence, PubChem for chemical properties, and PubMed for supporting literature. What if agents could do it in minutes?Meet AiChemy, a multi-agent assistant that combines external MCP servers like OpenTargets, PubChem, and PubMed with your own chemical libraries on Databricks. Add Agent Skills to find druggable targets, drug candidates and their chemical properties and safety profiles, complete with supporting evidence.You can build your own multi-agent assistant in just 5 minutes using our no-code Agent Bricks. Plus, Databricks assets like Genie, Vector Search, and Functions are automatically turned into MCP servers for seamless integration. Stop scrolling through endless articles and databases—let your agents do it for you!

Session Speakers

Yen Low

/Sr Specialist Solutions Architect
Databricks