Early detection and ongoing intervention are the solution to addressing global mental health challenges.
Today’s approaches are too often subjective and delayed. We close that gap with objective, real-time monitoring of mental health risks. Our system delivers localised, tailored interventions the moment they are needed. It’s time to move beyond reactive care models built only on self-reported symptoms.
Multi Award-Winning Clinical-Grade Mental Health Risk Monitoring & Micro-Interventions
√ Advanced AI/ML delivers objective biomarker analysis with 91% accuracy, eliminating subjectivity.
√ Proven cost savings up to 65% and measurable gains for healthcare, insurers, and governments.
√ Clinical research recognised globally and backed by Singapore’s research and healthcare institutions.
By centring user voices and lived experiences, we build solutions that are both clinically rigorous and human-focused.
Early Detection.
Ongoing Intervention.
Sustained Wellbeing.
Our mission is to confront one of the most urgent health challenges of our time, and eliminate its socio-economic toll on households and society through science, innovation, and action.
Clinicians:
Remote Patient Monitoring
Scalable, passive monitoring of risks and predictions with up to 20% diagnostic accuracy and treatment efficacy, lowering operational costs by up to 65%.Governments & Insurers:
Population Risk Insights
Aggregated population insights and risk intelligence through API/SDK, supporting resource optimisation and risk profiling for reduced economic burden of mental health conditions.
Population: Digital Companion
Tailored digital interventions for self-measurement to reduce care costs.Privacy-first companion app generates clinical insights passively on WhatsApp — no manual input required — helping drive productivity by up to 3x.
Corporate HR:
Employee Risk Insights
Actionable employee insights and high-risk flags proven to increase engagement levels by up to 3x, decrease overall claims, and improve employee productivity and wellbeing.
The Team Eradicating the Global Burden of Mental Illnesses
Clara Chen
CEO
Serial Impact Entrepreneur with multiple exits over two decades. Caregiver of parent with schizophrenia & suicide loss survivor as a child. EMBA & LLM.
Inventor & Entrepreneur. 16 yrs in healthcare data & clinical trials. Solution Architect for SG Nat’l EHR. Inventor of mental health assessment system. Committee of Australian Research Council.
Psychologist & Gold Athlete. Specialises in micro-interventions research & safeguarding athletes to boost performance. PhD in Psychological Sciences.
Neuroscientist & Painter. Specialises in brain-machine interfaces & machine learning. Committee member of IEEE EMBS SG. PhD in Neuroscience.
Dr. Jaswyn Chin
Principal Clinical Psychologist,
Clinical Validation
Weiling Lin
Experience & Engagement Strategist
Alvin Lye
Product Manager
Experts Behind the Mission
Dr. Benjamin Seet
National Healthcare Group (NHG)
Dr. Jimmy Lee
Institute of Mental Health (IMH)
Dr. Anne-Claire Stona
SingHealth-Duke NUS Global Health Institute (SDGHI)
Our Clinically-Validated Solution Was Presented At:
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Did you know that only 0.9% of mental health apps globally are clinically validated? (0) Ours is one of them.
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Digital phenotyping leverages data from smartphones and wearables to monitor and analyse behavioural and physiological patterns to provide deep insights into health and wellbeing continuously without disrupting routines to support early interventions and personalised care. (5)
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Remote photoplethysmography (rPPG) is a non-contact technology that uses optical sensors to measure vital signs and blood oxygen saturation by analysing subtle skin colour changes caused by blood flow to enable real-time health monitoring without the need for physical sensors or wearables, ensuring accessibility for remote or underserved populations. (1), (2), (3), (4)
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Protecting your privacy is our priority. We collect only non-identifiable and anonymised data from you to deliver our services. You retain full ownership and control of your data and we will never share it without your explicit consent.
