tools
Citrine Platform
Citrine Platform helps materials and chemicals companies manage data, build AI models, and identify products and experiments to test.
Citrine Platform is an enterprise SaaS suite for materials and chemicals development. It includes DataManager for organizing experimental and product data, VirtualLab for AI-guided formulation and materials design, and Catalyst for querying data and research and creating AI workflows with natural language.
R&D scientists, product developers, materials engineers, data scientists, and business teams use it to optimize products, processes, costs, supply options, and sustainability targets. The platform is not self-service consumer software; access, onboarding, training, professional services, and support are handled through Citrine.
Features
- Unifies materials, chemicals, product, and experimental data
- Imports data from spreadsheets, CSV files, instrument files, ELNs, and LIMS
- Builds AI models through a graphical, no-code interface
- Runs virtual experiments across constrained search spaces
- Uses sequential learning to suggest candidate materials to test
- Queries company data, reports, and peer-reviewed papers with natural language
- Provides Python APIs for structuring, automating, and sharing workflows
- Uses the open-source GEMD materials data model
Use cases
- Organize experimental data across teams and business units
- Optimize formulations against cost, performance, and sustainability targets
- Identify substitute materials during supply disruptions
- Suggest the next experiments for a product development project
- Compare candidate materials with existing products and target properties
- Help sales and application teams respond to customer requirements