Inverse Design:
Our Generative AI can identify novel candidate materials to open up the search space for superior target properties.
Candidate Selection:
Our property prediction algorithm surpasses the current State-of-the-Art model when trained on a small dataset enabling potential savings of $1.5M/year for a lab of 10 people.
