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From experiment to insight: how Dotmatics Luma and Databricks make AI-ready science a reality
Ryan Bernhardt, Michael Fritz
- Source
- Databricks
- Published
- Added to Yomu
Summary
Scientific workflows generate data across instruments, teams, and partner networks, but siloed systems can strip away metadata, lineage, and experimental context. Luma, Dotmatics’ scientific intelligence platform, captures outputs continuously and harmonizes them into structured, FAIR-compliant records, while Databricks supplies scalable storage, governance, and enterprise data and AI infrastructure. Running natively on Databricks, Luma preserves a continuous digital thread across experiment design, acquisition, analysis, reporting, and sharing, with Delta Sharing supporting governed exchange with collaborators. Chromatography illustrates the approach: connectivity across vendor systems and Virscidian’s Analytical Studio automate LC/MS processing while retaining context and adding dashboards, registration, and management tools. In one pharmaceutical deployment, Luma connected about 1,500 of more than 5,000 instruments across four LC/MS vendors, enabling cross-vendor performance trending, unified purity analysis, and a foundation for AI and machine learning.
Context
Scientific data is generated across large, distributed instrument fleets and often remains in proprietary, disconnected systems. In chromatography workflows, differing SOPs, vendors, file types, and manual exports can remove metadata, lineage, and experimental context, limiting comparisons, performance trending, and AI use.
Approach / What changed
Luma captures instrument outputs continuously and harmonizes them into structured, FAIR-compliant scientific records while preserving metadata, lineage, and context. Running natively on Databricks, it combines scientific workflows with scalable storage, governance, enterprise activation, and Delta Sharing. The approach also connects Virscidian’s Analytical Studio for automated LC/MS processing and related workflow tools.
Takeaways
- Luma and Databricks combine scientific instrument connectivity and harmonization with scalable, governed data and AI infrastructure in a unified stack.
- Virscidian’s Analytical Studio can automate complex LC/MS data processing, high-throughput experimentation, and purification workflows; integration with Luma adds dashboards, compound registration, and compound management.
- A pharmaceutical company connected about 1,500 instruments from four LC/MS vendors, enabling cross-vendor performance trending, unified purity analysis, and utilization and uptime data for planning.