Through the integration of artificial intelligence, engineering, physical theory, and applied research, we are changing the way materials are designed, developed, and discovered.
Pushing the boundaries of materials science and enabling
Materials research and development is the engine behind our most advanced industries and plays a crucial role in shaping our future, but identifying and growing the right materials from the myriad potential combinations requires decades of research and hundreds of millions of dollars. The current process is not only costly and time-consuming, but, more importantly, it fails to address society’s most urgent needs.
We believe in a different way of doing materials science.
By creating a closed loop process that brings together a high-throughput approach to molecular quantum mechanics, an AI engine composed of both atomistic predictive modeling and generative approaches, and a fully self-driving lab with automated chemical synthesis and characterization we are performing material science in a way that will unlock the future.
Using advanced atomistic and generative modeling, we screen billions of material compositions to predict structures and physical properties, zero-ing in on the candidates that are most likely to yield successful experiments.
To enable a civilization that is materially unblocked in its pursuit of humanity’s most important ambitions by building a new scientific process that is multi-disciplinary in nature and capable of improving the rate of innovation by orders of magnitude.