
Biosignal Analytics, Inc. is dedicated to enhancing healthcare quality through automated interpretation technology utilizing machine learning algorithms. Their flagship product, Auto EEG, leverages the world's largest EEG corpus, TUH EEG, to provide real-time EEG monitoring in critical care settings, significantly improving neurologist productivity by reducing the data needing manual review. This innovative approach positions them as a leader in the healthcare technology market, with a strong focus on leveraging big data to train sophisticated models that enhance clinical efficiency and decision-making.

Biosignal Analytics, Inc. is dedicated to enhancing healthcare quality through automated interpretation technology utilizing machine learning algorithms. Their flagship product, Auto EEG, leverages the world's largest EEG corpus, TUH EEG, to provide real-time EEG monitoring in critical care settings, significantly improving neurologist productivity by reducing the data needing manual review. This innovative approach positions them as a leader in the healthcare technology market, with a strong focus on leveraging big data to train sophisticated models that enhance clinical efficiency and decision-making.
Headquarters: Philadelphia, Pennsylvania
Founded: 2015
Core product: AutoEEG — real-time ML-based EEG monitoring and seizure detection
Notable funding: NSF grant $223,897 (Jun 29, 2016)
Automated interpretation of clinical biosignals (EEG) for critical care and seizure detection.
2015
Healthcare / Medical AI
$223,897
“Received a National Science Foundation grant”