Voice to Health Insights

Think of your voice not just as a tool for communication, but as a high-definition mirror for your health and wellness. Just as a symphony conductor can detect a single out-of-tune violin in a massive orchestra, our AI detects the “micro-discords” in your vocal muscles that signal a change in your physical or mental well-being long before clinical symptoms occur.

Scroll Down

Your Voice is a Diagnostic Tool

Voice production is a complex neurophysiological process involving the coordination of over 120 muscles, multiple brain regions, and various neurotransmitter systems. Subtle changes in pitch, rhythm, and articulation can signal neurological or mental health disorders years before traditional symptoms appear.

VOXEA technology provides immediate patient screening results from voice samples as short as 45 seconds.

Clinical Diagnostics Vocal BioMarker Technology

Our technology represents a paradigm shift in healthcare delivery, utilizing artificial intelligence to analyze vocal biomarkers—subtle patterns in speech, tone, and acoustic features—to detect and monitor various health conditions. By leveraging machine learning, our non-invasive technology can dramatically shorten diagnostic timelines from years to minutes, reducing healthcare costs through early detection and remote monitoring.

What Makes Voice an Ideal Biomarker?

Criterion Voice Analysis Blood Tests Imaging Questionnaires
Non-invasive ✓ ✓ ✓ ✓ ✓ ✓
Cost per test $0.10 - 5 $50 - 500 $500 - 3,000 $0 - 50
Time to result < 1 minute 1 - 3 days Same day 10 - 30 minutes
Frequency possible Continuous Weekly - Monthly Quarterly - Annually Visit-based
Objective measurement ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓
Patient burden None Moderate Moderate - High Low - Moderate
Scalability ✓ ✓ ✓ ✓ ✓

Vocal Biomarker Potential by Specialty

Specialty Conditions Total Prevalence Priority Conditions
Psychiatry 7 58+ million MDD, Bipolar, Anxiety, PTSD
Neurology 8 20+ million Alzheimer's, Parkinson's, ALS, MS
Pulmonology 6 71+ million COPD, Asthma, Sleep Apnea
Cardiology 5 151+ million Heart Failure, CAD, Pulm HTN
Endocrinology 4 40+ million Diabetes, Thyroid disorders
ENT 4 Common Laryngeal cancer, Vocal disorders
Infectious Disease 3 Episodic COVID-19, URI
Oncology 2 156K/year Brain tumors, Head & neck
Pediatrics 2 Common Speech disorders, Apraxia
Geriatrics 2 Most elderly Frailty, Presbyphonia
Rheumatology 2 2-5 million RA, Sjögren's
Substance Use 2 15+ million Alcohol, Opioid
Sleep Medicine 1 50-70 million Insomnia
Pain Medicine 1 50 million Chronic pain

Our Publication

07 November, 2022:

Clinical study: A deep learning-based model for detecting depression in senior population

Awards and Recognitions

We have received multiple accolades and non-dilutive funding from Singapore & other parts Asia

2023 Best

Health Tech Innovation of Singapore

2023 Best

Asia Tech Entrepreneur in Health Tech