Our stress-contextual biometric intelligence provides unmatched visibility into brain and body responses under pressure — powering advances in AI modeling, drug development, clinical research, and performance diagnostics. Unlike data captured in controlled labs or everyday consumer settings alone, our signals reflect real-world stress and context. Integrated with existing wearables and clinical measures, they create a fuller, more reliable picture of human physiology in motion.
Aware’s in-ear hearable technology delivers structured, de-identified datasets that are AI-ready, HIPAA-compliant, and ISO-aligned. This is not just data collection. It is a new class of biometric intelligence — captured where stress is real, engineered for AI, and built for impact.
The value of the Aware Hearable platform is not only in capturing multimodal signals, but in transforming them into clean, structured datasets that are ready for AI analysis.
Sensors in the custom-fit hearable collect synchronized neural and physiological streams during real-world activity, creating a continuous, multimodal dataset of the brain and body in action.
Noise reduction, calibration, and preprocessing ensure signals are accurate, clean, and timestamp-aligned — optimized for advanced modeling and machine learning.
Cleaned data is organized into a consistent, labeled format that is compatible with AI and ML workflows, ensuring seamless integration for research and clinical partners.
All datasets are stripped of personal identifiers and designed to meet HIPAA, DoD, and ISO standards. Our privacy-first model aligns with the highest expectations for security, consent, and ethical biometric data use.
Partners access structured datasets through secure transfer, APIs, or integrated platforms — enabling immediate use across defense, healthcare, industrial, and research applications.
