Cenevo has unveiled its Mosaic AI Inventory Search at SLAS Europe 2026, introducing a transformative tool designed to enhance laboratory inventory management through natural language processing.
This new capability integrates AI into existing laboratory informatics systems, allowing scientists to easily search their inventory by describing their needs in everyday language. For instance, a user could request “all tubes registered during the last 7 days stored in freezer XYZ,” and the AI would handle the search autonomously. This functionality aims to streamline sample discovery, making it more intuitive while ensuring that essential governance and traceability are maintained.
Alan Parkin, Vice President of Product at Mosaic, emphasized the importance of this innovation in creating connected labs where AI facilitates a smoother transition from data to actionable insights. By embedding AI directly within established laboratory systems, the tool promises to enhance workflow efficiency without disrupting current validated processes.
Distinct from generic AI tools, Mosaic AI Inventory Search is tailored to understand specific sample properties and lab configurations, offering context-aware search results that align with each lab's unique inventory management practices. As part of Cenevo's broader AI portfolio, this feature is now available for cloud deployments, reinforcing the company's commitment to advancing agentic labs in the life sciences sector.