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Citrine Informatics

A California materials-informatics company whose AI platform predicts the properties of new materials and formulations and recommends which experiments to run next — purpose-built for chemicals and materials R&D.

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📋About Citrine Informatics

Updated August 26, 2026

Citrine Informatics is an American artificial-intelligence company headquartered in Redwood City, California, founded in 2013 out of Stanford, that builds a materials-informatics platform for chemicals and materials research and development. The Citrine Platform ingests a company's experimental data, simulations, and published literature, then uses machine learning — including uncertainty-aware sequential learning and generative models — to predict the properties of new materials and formulations and to recommend which experiments to run next. The goal is to reach a target material or formulation in far fewer laboratory cycles than traditional trial and error. Its customers are largely chemical, materials, and consumer-products manufacturers using AI to accelerate research and development. For chemical engineers working on the discovery side of the discipline — new formulations, catalysts, and specialty materials — Citrine is one of the clearest AI-native platforms.

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Citrine InformaticsEngineering AI

Citrine Informatics is a materials-informatics platform that applies machine learning — sequential learning and generative models — to a company's experimental and literature data to predict new material and formulation properties and recommend the next experiment to run.

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