Problem Statement
Mental health problems are on the rise, but current treatments have certain drawbacks...
Target Audience
Mental health patients who find it a challenge to talk about their problems to medical professionals due to a variety of reasons including:
Depression
Mood Disorders
Generalized Anxiety
Anxiety
Disorders
Social Anxiety
Bipolar Disorder
Personality Disorders
OCD
Anti-social
Paranoid
Phobias
Current Measures
Psychotherapy
Expensive and infrequent
Social Support
Emotionally draining for friend, and might not always be available.�Societal Stigma.
Self help
Trapped in a negative headspace & unable to self-diagnose symptoms
Dr Rosalind Siah
-Senior Lecturer at Alice Lee Centre for Nursing Studies
Prof Kua Ee Heok
-Professor in Psychiatry and Neuroscience at NUS
-Ex-CEO and Medical Director at Institute of Mental Health
Market Analysis
Initial Market Sizing (Singapore)
Total Addressable Market (TAM)
According to the 2016 Mental Health Survey, 1 in 7 Singaporeans have had mental disorders at some point in their lives.
TAM = 5,700,000 Singapore Citizens / 7 = 814,000
Serviceable Available Market (SAM)
WHO: 20% of people with mental health issues seek help
SAM = 0.2 x 814,000 = 160,000
Serviceable Obtainable Market (SOM)
Conservative Estimate of 10% Market Capitalisation:
SOM = 0.1 x 160,000 = 16,000
TAM: 814,000
SAM: 160,000
SOM: 6,000
Potential Market Sizing (Global)
TAM: 792,000,000
SAM: 356,400,000
SOM: 35,640,000
Market Positioning
Active Feedback
Passive Feedback
Traditional Clinical Mental Health Services
Social Support (friends, family, etc)
x
Traditional Clinical Mental Health Services
Frequent &
Consistent
Infrequent &
Inconsistent
Our Inspiration
Articulating internal emotions can be a tremendous form of relief for the patient, and can help boost confidence
Emotional Debugging
Meet the Litmus Box
A video journaling toy with emotion detecting AI
Product Description and Features
Computer Vision A.I. that evaluates facial expression to understand user’s emotions
Built-in camera
On-board Raspberry-Pi for emotion detection
Built-in microphone
Evaluates emotions and transcripts to detect strong feelings or outbursts and flag them for medical professionals
Makerthon 2019 1st Runner Up
NHouse Pitch Night 2nd Place
Value Proposition / USP
Recount their daily events, and express their emotions freely
Helps patients become more aware of their emotions
Evaluates emotions to detect strong feelings or outbursts
Daily �Vlogging
Emotional Debugging
Advanced �Analytics
Data Provided to Medical Professionals
Helps to zoom in on key issues
Proposed Business Model
B2B
Box will be sold to clinics, where psychiatrists can prescribe it as complementary treatment
Research Institutes
B2C
Off the shelf purchases at healthcare retail shops
Potential Revenues
Market Approach & Strategy
Stage 1 (Initial)
Stage 2 (Long-term)
Our Team
Wei Boon
Zuo Ming
Sing Hui
Y3 Computer Science
NOC New York Batch 14
M1 Scholar
Y3 Chemical Engineering�Global Engineering Programme�Founder, Max’s Computers
Y3 Civil Engineering�President, Kent Ridge Hall�BCA-Industry iBuildSG Scholar
Summary
LIT FAM
x
TAM: 814,000
SAM: 160,000
SOM: 6,000
Market Sizing:
Description:
An A.I. video journaling device for mental health patients
USP:
Emotional Debugging + Complementing Clinic Visits
Business Model:
B2B: SaaS with clinics
B2C: Retail sales
Future: Anonymised Data Monetisation
Problem Statement:
Mental health problems are on the rise but current treatments have major limitations
Target Audience:
Current patients who are undergoing treatment but find them ineffective due to drawbacks
Any feedback?
Collaboration?
Internships?
Say hi!