Cenevo, a specialist in enabling connected labs for life sciences through its agentic lab platform, today announced the launch of a new AI-enabled capability for Mosaic. Mosaic AI Inventory Search enables scientists to search inventory using natural language, making sample discovery faster and more intuitive.
Mosaic AI Inventory Search brings AI into the systems labs already rely on, helping scientific teams turn inventory data into action without losing traceability, control or context. Scientists can simply describe what they are looking for in plain language, such as “all tubes registered during the last 7 days stored in freezer XYZ,” and the AI assistant automatically builds and executes the appropriate search.
“Mosaic AI Inventory Search is another step toward connected, agentic labs where AI helps scientific teams move from data to action more seamlessly,” said Alan Parkin, Vice President Product - Mosaic. “By embedding AI directly within trusted laboratory systems, we can deliver faster, more intuitive workflows while maintaining the governance, traceability and control modern labs require.”
Unlike generic AI chat tools, Mosaic AI Inventory Search is deeply integrated into Mosaic’s sample-centric data model. The assistant understands sample properties, labware types, modalities and customer-specific configurations, enabling more accurate and context-aware search results.
Built directly into Mosaic’s existing Inventory Search workflow, the AI assistant enhances a core capability already used by the majority of Mosaic users.
Mosaic AI Inventory Search is available for cloud deployments as part of Cenevo’s expanding AI portfolio.
To learn more about Mosaic AI Inventory Search, visit Cenevo.com/AI.
