More than 100,000 experiments are helping TAE turn fusion data into faster learning.

We use machine learning and AI-enabled controls to help optimize fusion machine operations in real time. Our current machine runs roughly 50 experiments a day, adding to a data set that helps the team evaluate performance and inform the design of a future power plant.

The value of AI here is practical: analyze more operating data, respond faster and improve how each experiment informs the next.