Axon Interfaces
Developer of an AI-driven EEG analysis platform that integrates with existing EEG headsets to deliver real-time biomarker extraction and automated interpretation. The platform is cloud-based, trained on large EEG datasets, and positioned for clinical, research, and biopharma applications including neurodegeneration assessment, patient stratification, and treatment monitoring.
Industries
Nr. of Employees
small (1-50)
Axon Interfaces
Palo Alto, California, United States, North America
Products
AI-driven EEG analysis platform
A cloud-based software platform that performs automated EEG signal processing, extracts validated neural biomarkers, and delivers interpretable, real-time outputs for clinical and research use. Designed to operate with existing EEG headsets and scale for population-level analytics.
AI-driven EEG analysis platform
A cloud-based software platform that performs automated EEG signal processing, extracts validated neural biomarkers, and delivers interpretable, real-time outputs for clinical and research use. Designed to operate with existing EEG headsets and scale for population-level analytics.
Services
Platform integration and deployment
Integration of the analytics platform with existing EEG hardware and clinical workflows to enable real-time analysis at point-of-care and research sites.
Clinical trial analytics for CNS programs
Analytics support for target engagement, patient stratification, and endpoint development using EEG-derived biomarkers.
Platform integration and deployment
Integration of the analytics platform with existing EEG hardware and clinical workflows to enable real-time analysis at point-of-care and research sites.
Clinical trial analytics for CNS programs
Analytics support for target engagement, patient stratification, and endpoint development using EEG-derived biomarkers.
Expertise Areas
- EEG signal processing and interpretation
- AI/ML for neurodiagnostics
- Digital health platform development
- Biomarker discovery for CNS disorders
Key Technologies
- Electroencephalography (EEG) analysis
- Machine learning for biomedical signal processing
- Cloud-based analytics and deployment
- Real-time signal processing