Risorious


Healthcare technology company developing EEG- and biosignal-based solutions to quantify mental health, predict psychiatric drug response, and provide device and software products for clinical, occupational safety, and insurance use cases. The company combines wearable biosensor hardware, signal-processing and machine-learning algorithms, and clinical partnerships to support precision prescribing, clinical-trial enrichment, remote monitoring, and insurtech risk modeling.

Industries

artificial-intelligence
health-care
health-diagnostics
health-insurance
medical
neuroscience-e37a
quantified-self-4b52
software

Nr. of Employees

small (1-50)

Risorious

Seoul, Seoul-t'ukpyolsi, South Korea, Asia


Products

EZRest

EEG-based senior mental-health monitoring headset that measures multi-channel EEG to provide real-time cognitive-function and emotional-state quantification via a paired mobile application.

Smart safety helmet (EEG-enabled)

Detachable EEG module designed for standard industrial safety helmets that performs real-time attention/concentration analysis and issues alerts to prevent accidents caused by inattentiveness.

Wearable data analysis algorithms

Software algorithms for quantifying attention and stress from wearable devices, recommending activities to improve metrics, and integrating consumer wearables data.


Services

Psychiatric drug-response prediction service

Analysis service that evaluates patient biosignal data to identify medication classes with higher predicted response and provides ranked suggestions for clinical decision support and clinical-trial participant selection.

Biosignal monitoring and analytics service

Continuous or periodic monitoring and analysis of EEG and HRV data to quantify cognitive function, attention, and stress for early detection and management of mental-health changes.

Insurtech analytics solutions

Algorithmic services for insurers including AI-based product-development algorithms, risk scoring by mental-health metrics, underwriting models, and personalized customer coaching AI.

Expertise Areas

  • Digital mental health
  • Biosignal analytics (EEG, HRV)
  • Wearable neurotechnology
  • AI/ML for clinical decision support
  • Show More (3)

Key Technologies

  • Electroencephalography (EEG)
  • Heart rate variability (HRV) analysis
  • Time-frequency signal processing (FFT)
  • Machine learning / AI for biosignals
  • Show More (4)

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