Axon Interfaces develops software designed to transform raw electroencephalography (EEG) data into clinically meaningful, real-time biomarkers. The company’s platform focuses on enabling frontline EEG systems to deliver actionable insights rather than raw signal outputs. By augmenting existing EEG hardware with advanced analytics, Axon Interfaces positions itself as an infrastructure layer within clinical neurophysiology. The solution is intended for use in medical and research environments.

The technology processes continuous EEG signals using signal processing and machine learning methods to extract features associated with neurological states and events. These features are translated into interpretable biomarkers that can support clinical decision-making in real time. The platform is designed to integrate with a range of EEG acquisition systems, operating downstream of data capture without requiring proprietary hardware. This hardware-agnostic approach supports scalability across different clinical contexts.

Axon Interfaces targets applications in clinical monitoring, diagnostics, and neurological assessment where timely interpretation of EEG data is critical. The platform is positioned to support clinicians and researchers by reducing the complexity of EEG analysis and increasing consistency across settings. Its focus on real-time biomarker generation aligns with broader efforts to operationalize neural data within routine clinical workflows.