In an ICU setting, doctors scan EEG data looking for evidence of seizures, altered consciousness, or a decline in brain function. Currently, doctors rely on continuous EEG monitoring to detect abnormal brain activity in an ICU patient, but they can’t monitor every individual patient in real time. The company built its ICU brain model using publicly available EEG datasets, as well as proprietary EEG data from the Cleveland Clinic and other partnerships. Brain activity patterns are extremely variable from person to person, so building a brain foundation model requires huge amounts of data to capture common patterns and features. Currently, the Cleveland Clinic and Piramidal team is using retrospective patient data to fine-tune the model.