The document discusses the evolution and importance of personalized nutrition, highlighting how individual factors such as DNA, microbiome, and lifestyle affect dietary needs. It outlines the challenges and developments in food tracking technologies and the investment landscape surrounding personalized nutrition ventures. Furthermore, it emphasizes the necessity for individualized meal plans and data-driven approaches in creating tailored dietary solutions.

1. PERSONALIZED NUTRITION
Building the foundation for a future food ecosystem
DR. MARKUS PFEIFFER

2. PERSONALIZED NUTRITION GETTING TRACTION
2
220
0 1000 2000 3000 4000 5000 6000
Ecommerce & Food Delivery
Next-Level Physical Retail
New Food Products
Next-Level Restaurant Operations
Food Education & Self Tracking
Personalized Nutrition
Pet Tech
Food Safety & Tracking
Communities, Platforms, Peer-to-Peer
Smart Kitchen
Urban Micro-Farming
VC investment in $M (2015)
VC investment in $M (2015)
Source: CB Insights, Bloom Partners research

3. ONE DIET DOESN’T FIT ALL
DNA
Climate
Gut microbiome
Pollution
Stress levels and
emotional state
Food intakeGender
Culture
Health &
Metabolism
Wealth
Exercise and sport
Age

4. BLOOD SUGAR:
NOT EVERYBODY SHOULD HAVE THE SAME DIET
4
SOURCE: PERFOOD

5. 5
STILL NO BREAKTHROUGH IN FOOD TRACKING

6. 6

7. 7

8. MAPPING PERSONALIZED NUTRITION MODELS*
Personal input/
Anamnesis
Tracking
One time reco
Analysis plus
personalized food
Data
Result
Many many providers
* Select cases

9. - 100K customers
- $ 10M Revenue
- $ 100M Valuation

10. MAPPING PERSONALIZED NUTRITION MODELS*
Personal input/
Anamnesis
Tracking DNA
Data
Result
* Select cases
One time reco
Analysis plus
personalized food
Many many providers

11. 11
DNA DECODING: BELOW 1,000 US$

12. 12
Fitness and
nutrition
recommendations
based on your
DNA
$ 36M Funding
DNA

13. $ 100M Funding

14. MAPPING PERSONALIZED NUTRITION MODELS*
Personal input/
Anamnesis
Tracking DNA
Data
Result
Biomarkers
* Select cases
One time reco
Analysis plus
personalized food
Many many providers

15. 15
$ 32M Funding
Sweat
Blood
DNA

16. MAPPING PERSONALIZED NUTRITION MODELS*
Personal input/
Anamnesis
Tracking DNA Microbiome
Data
Result
Biomarkers
* Select cases
One time reco
Analysis plus
personalized food
Many many providers

17. GUT MICROBIOM: 150X HUMAN DNA
17
Western diet
Western diet
Stool transplantation
Stool transplantation
Fit person
Overweight
person (twin)
Fit mouse
Fit mouse The mouse’s weight has not
changed
The fit mouse has become overweight
because the microbiome influenced
digestion

18. Bloom Partners GmbH. 2017. 18
$ 17M Funding

19. MONETIZATION OF PERSONALIZED NUTRITION
Bloom Partners GmbH. 2017. 19
INDIVIDUALIZED MEAL
PLAN AND COACHING
PERSONALIZED MEALS
INDIVIDUALIZED
RECIPES
Personal preference Tracking Biomarkers DNA Microbiome
Big data
Analytics
Pharma
Food
Insurance
Sports
Dieting
Profiling

20. HERE IS
THE
PROBLEM
WITH
RECIPES
#1 of 826 recipes
for Schweinebraten
(chefkoch.de)

21. SMART RECIPES
Bloom Labs for JuicePlus+ 21
From Objective Data to Subjective Personalization
Objective Data:
Ingredient Metadata via NLP
- Calories
- Carbs
- Fat
- Protein
=> Dietary Plans, Allergy Protection
Dish metadata
- Type (breakfst, lunch, dinner)
- Category (soup, pasta etc.)
Techniques metadata
(roasting, pan seared, slow cooking etc.)
Tools metadata
(Wok, pan, sauciere)
Image recognition
User Metadata:
Personal targets
Activity tracking
Cooking skills
Recipe ‚Appeal‘ on multiple levels.

22. THE PERSONALIZED FOOD CHALLENGE
Bloom Partners GmbH. 2017. 22

23. mpfeiffer@bloom-partners.com