🔭Vision

Automation is driving the generation of modern scientific data - it's time to automate how we use it.

Identifying new materials with desirable properties and reaching commercial scale takes decades of effort due to the complexity of the synthetic process of making and characterizing a material with near atomic precision. The AtomCloud platform aims to change this by developing automated and coherent data management and data analysis pipelines for nanoscale materials data.

We want to be the home for materials science data, automating the feedback loop between material synthesis and results characterization, to unlock the predictive power of ML/AI.