NextSense develops Smartbuds, truly wireless earbuds that utilize real-time EEG and body data to optimize user states. These devices guide users toward deeper restorative sleep, faster relaxation, and clearer focus through personalized audio adjustments. The technology employs slow-wave enhancement to actively improve sleep quality based on detected brain rhythms.
Funding
$20.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many individuals struggle with poor sleep quality, impacting their daily energy levels and overall brain health. Traditional sleep tracking methods often provide passive data without offering real-time interventions for sleep enhancement. Access to neural insights for optimizing sleep and daytime cognitive function remains limited for the average person.
Solution
NextSense develops brain-responsive earbuds that use electroencephalography (EEG) to provide real-time neural insights, actively enhancing sleep and restoring energy. The system employs real-time neural dynamics to generate personalized audio experiences that promote falling asleep, staying asleep, and achieving deeper sleep. By collecting extensive data on brain dynamics through long-term earbud wear, NextSense analyzes daytime neural activity and mental vigilance, closing the sleep/wake loop. The platform uses a modular approach with models that function across therapeutic areas, speeding the development of digital biomarkers and anomaly detection.
Target Audience
The primary target audience includes individuals seeking to improve their sleep quality, enhance daytime energy levels, and optimize overall brain health, as well as clinical researchers.
Features
- Brain-responsive earbuds utilizing EEG technology for real-time neural data acquisition
- Real-time neural dynamics analysis to generate personalized audio experiences for sleep enhancement
- Long-term brain dynamics data collection through convenient earbud wear
- Analysis of daytime neural activity and mental vigilance to close the sleep/wake loop
- Modular platform approach with models spanning therapeutic areas for rapid biomarker development
- API-driven architecture for building novel state-based applications across various use cases