Citrine | Blog

Global supply chains are facing increasing challenges, highlighting the need for new approaches to material production. One promising avenue involves developing methods to create high-performance materials from low-quality, variable...

In the rapidly evolving world of AI within materials and chemicals industries, Bayesian optimization (BO) has re-emerged as a powerful tool. In this blog post, we will explore why...

AI will transform R&D, but only if scientists can trust and adopt the tools built for them.

What sets Citrine apart from its competitors is its ability to deliver tangible business value swiftly, thanks to a unique blend of technological innovation and deep domain expertise.

ChatGPT has revolutionized AI-assisted tasks, but it’s not suited for everything—especially in materials and chemical product development.

In the fast-paced world of coatings, adhesives, and sealants (CAS), there’s a pressing need to accelerate research and development (R&D) and utilize better tools for finding substitute ingredients, optimizing...

The product experts that use our AI don't see the Citrine Platform as a black box, but as a flashlight. And that flashlight just got stronger.

This flowcharts helps you decide between AI options for product development.

AI looks for patterns in cause and effect. So it needs detailed, accurate information on the inputs, in our case, a full materials and processing history of the product,...

Although many companies are already reaping the rewards of using AI, others are being held back by myths around the need for large datasets. While representative data can propel...