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The Citrine Platform

The AI-driven product development software for materials and chemicals.

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Build a Data-Driven Product Development Process with Citrine

1

DATA INFRASTRUCTURE

Flexibly import, store, and evaluate data about how your materials were created, and their results:

  • Quickly ingest data into the platform via CSV, spreadsheet, or API
  • Leverage Citrine’s Expert Services to prep complex data sources. From initial training and project identification through to autonomy
  • Manage materials and chemicals data with full context, including:
    • Molecular structures
    • Processing
    • Cost
    • Sustainability / Toxicity
    • Resulting Properties
  • Automatically convert data structures to easy-to-use tables and visualize historical data in a robust and intuitive user interface
2

AI MODELS

Incorporate known physical relationships into AI models to enable faster learning. After training, examine statistical indicators for accuracy.
  • Generative AI for chemistry and materials designed to work on “small data” common in industry
  • Algorithmic uncertainty quantification to ensure model predictiveness and identification of “out of the box” high-performing candidates
  • Embed your domain knowledge by adding known mathematical and rule-of-thumb based relationships
3

SEARCH SPACE

Limit your search to what matters to you.
  • Further capture your team’s existing knowledge and define the constraints for the materials you are looking for.
  • Set acceptable ranges for each category Easily define limits with an intuitive interface:
    • Ingredients
    • Labels of materials
    • Ingredient ratios
    • Processing parameters
4

CANDIDATES

Sort and review experiment candidates through interactive visualization.
  • Leverage generative AI to predict candidates that may be missed by human ideation alone
  • Review, pin, filter, and group candidates for further investigation in the lab
  • Show progress against goals and compare the performance and properties of promising candidates. Compare training data to see how candidates perform against targets over existing materials.
  • Drill into individual candidates to better understand why they perform
  • Drive collaboration by communicating candidate data with other researchers

Sequential Learning

  • Learn efficiently from every experiment
  • Record ongoing experimental data so models can continue to learn
  • See models improve dramatically with each experimental iteration
  • Reduce the number of experiments required by 90+%

Trusted by Global Leaders

Solvay logo
Morrow logo
Synthomer Logo
NIST
Carnegie Mellon University
University of California, Berkeley
The University of Chicago
Texas A&M University
MINES
Northwestern University
NC State University

Enterprise Ready

The Citrine Platform is used across multiple business units of in the biggest materials and chemicals companies in the world. As such, it needs to be robust, secure, scalable and continually improved.

Security

The Citrine Platform is used across multiple business units of in the biggest materials and chemicals companies in the world. As such, it needs to be robust, secure, scalable and continually improved.

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Scalability

Citrine’s Platform scales as your use scales, with computing power optimized for efficiency. Digital assets (data sets, AI models, search spaces etc.) can be reused by other teams and in future projects where they are relevant, accelerating future projects.

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Ready to get started?

Find out how the Citrine Platform can amplify the work of your product development team.

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