The chemical industry faces increasing pressure to develop more sustainable materials and chemical processes. Traditional catalyst discovery methods are often slow, expensive, and inefficient, hindering the transition to greener chemistry.

Entalpic offers a generative AI platform designed to accelerate the discovery of novel catalysts. The platform optimizes chemical reactions while simultaneously considering physicochemical properties and manufacturing constraints. By leveraging AI, Entalpic enables the development of more sustainable materials and chemical processes, addressing the growing need for environmentally friendly solutions in the chemical industry. This approach streamlines the catalyst discovery process, reducing both time and cost associated with traditional methods.

Generative AI platform for de novo catalyst design

Multi-objective optimization considering reaction kinetics, thermodynamics, and cost

Incorporation of physicochemical and manufacturing constraints into the design process

Predictive modeling of catalyst performance using machine learning algorithms

Virtual screening of millions of potential catalyst candidates

Entalpic's primary customers are chemical companies, materials science researchers, and manufacturers seeking to develop more sustainable and efficient chemical processes.