Matr
Matr helps researchers accelerate materials science using machine learning. It uses advanced computational techniques to analyze data and optimize experiments, supporting research workflows in materials discovery. The product targets research labs and institutions in fields like materials science, catalysis, and compounds design, and functions as a B2B software platform with data analytics and ML modeling capabilities. Integrations include data pipelines and modeling tools to fit existing lab workflows. It aims to scale research impact by shortening development cycles and enabling rapid discovery.
Matr
Matr helps researchers accelerate materials science using machine learning. It uses advanced computational techniques to analyze data and optimize experiments, supporting research workflows in materials discovery. The product targets research labs and institutions in fields like materials science, catalysis, and compounds design, and functions as a B2B software platform with data analytics and ML modeling capabilities. Integrations include data pipelines and modeling tools to fit existing lab workflows. It aims to scale research impact by shortening development cycles and enabling rapid discovery.