Holmes was founded by 2 information technology and engineering university students, Alfie Torres and Isaac Frith, in 2018. The idea of Holmes came from the problem surrounding the difficulty of reading the nutritional information on a product label and understanding what value it adds to us, as a consumer.
Holmes solves this through an app that scans the nutritional information of a food item and analyses if the item Is SUGGESTED or NOT SUGGESTED based on their health profile. This also includes a breakdown of why an item was SUGGESTED or NOT SUGGESTED.
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CONFIDENTIAL
3
Solution
Holmes, a Health Lifestyle app that:
Scans nutritional contents and value through
product’s barcode
Suggests or not suggests the product based
on person’s health profile
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CONFIDENTIAL
Product 5
Health Profile Scanner Marketplace
- Create & enter information
- Scans barcode
-Goods are SUGGESTED or
NOT SUGGESTED
-Suggested products tailored to a user’s
health profile that users can buy
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CONFIDENTIAL
Team
Alfie Torres Oscar Torres Isaac Frith Pauline Mascarinas
Commerce/IT, Co-
Founder, Strategy
CFO ALJ, Finance
Advisor
Material
Engineering
Partnerships with
FDA
7
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CONFIDENTIAL
Business 8
Model
Commissions and fees from Marketplace
Tailored advertisements based
on consumer’s profile
Partnership fees from institutional clients
& Insurance companies
Government Grants4
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CONFIDENTIAL
Market 10
Adoption
Partner with Food Drug Administration (FDA)
and other international health organisations to:
Getting product to supermarkets and
partnering with insurance companies
Partnering with institutional clients
phase
phase
phase
a) Create nutritionally accepted standards based on a
consumers health profile
b) Require food and drinks manufacturers to have full
disclosure in their product labels and nutritional value
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CONFIDENTIAL
Market 11
Adoption
User Health
profile
Scan Product
on SMART
PHONE
Goods are
SUGGESTED or
NOT SUGGESTED
Holmes
Scanner
Scan Product
on STORE
scanner
SUGGESTED or
NOT SUGGESTED
as shown on the
Store’s monitor
Shows QR
code of
health profile
Repeat for next product
Smart Phone User
(individual purchases)
Store Shopper
(many purchases)