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Citrine Informatics

Materials informatics platform for data-driven chemicals development

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About

Citrine Informatics provides an AI platform for materials and chemicals R&D, combining smart data infrastructure with machine learning to accelerate formulation and product development. Its products include Citrine VirtualLab, DataManager, and Catalyst; customers reportedly include Panasonic, Michelin, and LANXESS, and it closed a $16M Series C in January 2023. Founded in 2013, it is one of the most established vendors in materials informatics, though pricing is enterprise-only and undisclosed.

What it can do

  • Citrine VirtualLab
  • Citrine DataManager
  • Citrine Catalyst
  • AI formulation screening
  • IP codification

Setup

  1. Contact Citrine for a platform demo
  2. Onboard materials data into DataManager
  3. Train AI models on historical experiments
  4. Use VirtualLab to screen new formulations

Prerequisites

R&D organization with materials data; enterprise license

Use cases

materials developmentformulation designR&D data management

Works with

Any agent (.md)

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Founded 2013; $16M Series C Jan 2023; Named customers Panasonic, Michelin, LANXESS reported; Pricing enterprise-only and undisclosed. License: Commercial proprietary software.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
7.0/10
Maintenance · recency, releases, issue load
7.0/10
Openness · license + docs
4.0/10
Manual review · sanity read + red-flag check
8.0/10
  • · Founded 2013; $16M Series C Jan 2023
  • · Named customers Panasonic, Michelin, LANXESS reported
  • · Pricing enterprise-only and undisclosed

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.