Citrine VirtualLab

Citrine VirtualLab is a set of generative AI tools that lets researchers rapidly identify chemical formulations and materials likely to match predefined specifications by running virtual experiments before the lab. It is designed to work with the small, sparse data typical in materials and chemicals, using a graphical model to incorporate experts’ domain knowledge and fill knowledge gaps, with reusable components that can power other AI projects. As part of the Citrine Platform, it supports sequential learning workflows and uncertainty-aware calculations to optimize experiment design and accelerate product development.

AI named Citrine VirtualLab in September 2026.