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Twin Health is a healthtech startup that has invented Whole Body Digital Twin to help reverse and prevent chronic metabolic diseases.
Twin Health’s flagship offering, Whole Body Digital Twin helps reverse and prevent chronic metabolic diseases, while improving energy and physical health. Twin is headquartered in California, USA and Chennai, India. The Whole Body Digital Twin offering provides guidance for nutrition, sleep, activity and meditative breathing to patients and their doctors to safely reverse and prevent a variety of chronic metabolic diseases. The startup’s solution is also being leveraged to prevent the major effects of chronic metabolic diseases like type 2 diabetes. They combine advanced technology and medical science to heal the most complex and dynamic system of all - the human metabolism.
Legal Name
:
Twin Health, Inc.
Headquarters
:
Mountain View, California, United States of America
Business Model
:
Founding Date
:
2018
No. of Employees
:
251 to 500
Core Team
:
1.
Terrence Poon
Co-founder & CTO
2.
Jahangir Mohammed
Founder & CEO
3.
Dr M A Maluk Mohamed
Co-founder, VP Research & Head - India Business
2021
Jul | Raised Funding
Twin Health has raised a total of $198.5M in funding over 3 rounds. Their latest funding was raised on Oct 7, 2021 from a Series C round.
2022
Jan | Awards
Our scientific evidences has been published in various prestegious forums globally including ADA, AACE, ENDO, ATTD, etc.
Apr | Key Leadership Hire
Chief Product officer Chris Szeto was hired. He was leading consumer product teams in LinkedIn
B2C
Twin Health pioneered the Whole Body Digital Twin™ technology to reverse and prevent multiple cardiometabolic chronic diseases using rigorous scientific and evidence-based research. Our patent-pending IoT and AI technology is a dynamic and digital representation of human metabolic function based on thousands of daily precise and personalized data points, including clinical health signals, individual lifestyle inputs, and patient preferences. WBDT identifies metabolic damage by continuously monitoring and correlating historical and ongoing health data from the individual. On the first day of activation, the Twin technology finds the closest digital Twin to the newly activated member to begin a precision treatment care plan. There have been thousands of Twin’s built, as thus the Twin engine understands the closest proxy in the network for the new member and what has worked. Accordingly, as the new member’s digital twin is built, the machine learning engine begins to migrate 100% twin
User Age
:
18 to 25,
26 to 34,
35 to 45,
46 to 60,
More than 60
User Income
:
Lower-middle Income,
Upper-middle Income,
High Income
Location
:
Total Funding
$198.5M
Investors
:
1.
Sequoia Capital
2.
Corner Ventures
3.
LTS Investments
4.
Perceptive Advisors
See More
$18M
Series Name
:
SERIES-A
Date
:
17th Jun 2020
Frequently Asked Questions
