Early Detection.
Ongoing Intervention.
Sustained Wellbeing.

Hyper-personalised micro-interventions delivered seamlessly, powered by mental wellbeing risk assessments derived from clinically validated, privacy-first behavioural insights.

Achieve results of up to:

65%

91%

accuracy in anxiety and depression predictions

workplace productivity gains

case
management
cost savings

Direct-to-Patient Infrastructure

Build Your Baseline
App runs in the background, using your smartphone sensors to identify your unique behavioural profile.

Predict Risks Early
Advanced Al predicts risks according to your indicators with up to 91% accuracy.

Personalise Support
Machine learning tailors interventions for your needs and preferences.

Deliver Seamlessly
Interventions arrive through your normal messaging apps. No other app opening needed.

Real-Time Monitor
Behavioural data gleaned from GPS and Accelerometer.

Data Analysis
Mental health risk insights predicted with 91% accuracy.

Intervention Effectiveness
Track trends and rank interventions by risk reduction effectiveness.

Privacy First
Does not track phone content. Require explicit user consent to share any data.

Our Clinically-Validated Solution Was Presented At:

Our Vision

A world free from the burden of mental illness.

To eradicate the socio-economic burden of mental illness and extend health span for populations through non-invasive early detection powered by behavioural insights and accessible interventions.

Our Mission

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.

Neeraj Kothari
CTO

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.

Dr. Isabelle Tay
COO

Psychologist & Gold Athlete. Specialises in micro-interventions research & safeguarding athletes to boost performance. PhD in Psychological Sciences.

Dr. Brian Premchand
CSO

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)

Did you know that only 0.9% of mental health apps globally are clinically validated? (0) Ours is one of them.
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)
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)
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.