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Zoe (health science company)

Zoe (health science company)

Zoe is a Boston and London-based company which builds software for tracking individuals' nutrition response patterns, as well as a mobile application for tracking COVID-19 symptoms.

OverviewStructured DataIssuesContributors

Contents

zoe.com
joinzoe.com
covid.joinzoe.com
Is a
Company
Company
Organization
Organization

Company attributes

Industry
Food technology
Food technology
‌
Covid-19 tracker
Fitness
Fitness
Lifestyle
Lifestyle
Mobile Devices
Mobile Devices
Health technology
Health technology
Nutrition
Nutrition
Business intelligence (BI)
Business intelligence (BI)
...
Location
Boston
Boston
London
London
United Kingdom
United Kingdom
B2X
B2C
B2C
CEO
Jonathan Wolf (entrepreneur)
Jonathan Wolf (entrepreneur)
4
Founder
Tim Spector
Tim Spector
George Hadjigeorgiou
George Hadjigeorgiou
Jonathan Wolf (entrepreneur)
Jonathan Wolf (entrepreneur)
4
Pitchbook URL
pitchbook.com/profiles...268580-17
Legal Name
ZOE GLOBAL LIMITED
Legal classification
Private limited company
Private limited company
Date Incorporated
August 7, 2017
Number of Employees (Ranges)
51 – 200
Email Address
hello@joinzoe.com
Full Address
50 Milk St , Boston, Massachusetts 02109, US
Health Foundry, Canterbury House, 1 Royal Street, London, Select One... SE1 7LL, GB
Place of Incorporation
United Kingdom
United Kingdom
Incorporation Reference
10902884
Investors
Accomplice (company)
Accomplice (company)
daphni
daphni
Ahren Innovation Capital
Ahren Innovation Capital
‌
Innovation Capital
Tim Kendall
Tim Kendall
Founded Date
2017
Total Funding Amount (USD)
119,000,000
Latest Funding Round Date
December 1, 2021
Latest Funding Type
Series B
Series B
Patents Assigned (Count)
3
Country
United Kingdom
United Kingdom
United States
United States
Headquarters
Boston
Boston

Other attributes

Company Operating Status
Active
Funding Round Date
May 4, 2021
Latest Funding Round Amount (USD)
53,000,000

Zoe is a Boston and London-based company which builds software for tracking individuals' nutrition response patterns, as well as a mobile application for tracking COVID-19 symptoms.

Nutrition response tracking

Zoe working with scientists and thousands of volunteers – combining large-scale data and machine learning to predict personal nutritional responses to any meal. The company says it is working with some of the world’s leading scientists from academic centers including Harvard, Lund (Sweden), Massachusetts General Hospital, Oxford (UK), King’s College London (UK), Tufts and Stanford.

The company uses blood tests and stick-on glucose monitors (originally developed for people with diabetes) to see how the levels of chemicals such as fat, insulin and sugar change in each person’s bloodstream after eating a set of identical standardized foods and their own regular meals. We also gather data on activity, sleep, hunger and gut bacteria (microbiome).

The company intends to use this data to build machine learning models to figure out what’s going on when people eat specific foods and predict with high accuracy how they’ll respond to any meal.

COVID-19 Response

In response to the COVID-19 pandemic, Zoe developed and launched a COVID symptom tracker, which was created by doctors and scientists at Massachusetts General Hospital, the Harvard T.H. Chan School of Public Health, King's College London and Stanford University School of Medicine.

Zoe publishes COVID-19 symptom data for the United Kingdom on its website.The company announced on March 28, 2020 that it had gathered data from over 1 million volunteer contributors.

Timeline

No Timeline data yet.

Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date

Overview of The ZOE Scientific Project For Researchers & Clinicians

https://joinzoe.com/static/ZOE_Whitepaper_100619-2f121060a8587471d1c67e20f11fbbe9.pdf

Whitepaper

Personal metabolic responses to food predicted using

multi-omics machine learning in 1,010 twins and

singletons: The PREDICT I Study

Dr. Sarah Berry

https://joinzoe.com/static/PREDICT-1-short-summary-FENS-2019-d6662e26e5cbacb881442f8102ef8592.pdf

Presentation

Postprandial lipemia and CVD Does the magnitude, peak concentration or duration impact intermediary cardiometabolic risk factors differentially?

Dr. Sarah Berry

https://joinzoe.com/static/PREDICT-1-lipaemia-and-CVD-markers-FENS-2019-1e307c9dbc96a57aea5b48cb9721755a.pdf

Presentation

Predicting personal metabolic responses to food

using multi-omics machine learning in over 1000

twins and singletons from the UK and US:

The PREDICT 1 Study

Tim Spector

https://joinzoe.com/static/ASN_Metabolic_Multiomics_ML_Study_110619-5cb95d15ba7091e7c3ee72633668f8e9.pdf

Presentation

References

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