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Digital Sensory Expertise software


The
fi
rst AI expert system for food scientists
francois.wayenberg@ajinomatrix.org


www.ajinomatrix.org


+32 470.596.768 1
2
PROBLEM
LATE NON-
CONFORMITY
DETECTION
TIME / WASTE


SPILLING
ANALOG


DATA


ANALYSIS
NO STANDARD
SENSORY
DEFINITION
TRIAL & ERROR
WASTED TIME/
RESOURCES
Problem 1: Quality control processes - disparate data silos, spillage
Problem 2: Product development / localisation: slow, costly process
Several data silos accumulate disparate, non integrated data


Sensory data for food manufacturers is complex, non standard
• Software Home page
3
Product
3
• Wizard

• Test data

“Failures

Teach

AJ soft.

Getting

Smarter”
Product
4
• Results

• Digitized
5
Product
6
SOLUTION
A simple software & standardisation framework using AI
TRL: 7
An expert AI system


Bridging the gap between QC systems and sensory evaluation


Breaking down data silos into a single data-warehouse


=> Easier Troubleshooting & Product dev.
> under development
7
BUSINESS MODEL
Solution-relevant ecosystems
LICENSING


50-100k€/year PoC


SERVICES


10k€/Yweeks
Ecosystem portfolio,


with 4 con
fi
gurations:


Combination of licensing+services
DB / E-MARKET


SCENT SHOP


7% / transaction
R&D + TECH


RESALES


50k€/deal
LICENSING MODEL: Freemium


Ex: SMBs, startups download FOSS,


Using our services
The conversion rate of B2B prospects understanding how this works is over 80%
8
• $4.5B TAM (
fl
oored by $40 Mio turnover corps.)


	
	


• $1.7T market size & Growth > 5%


	


• TAM targets are Food Companies’ food scientists




• Food waste is 30-40% of the total amount (USDA)


•Ajinomatrix could help spare 3% of food waste in QC


=> The average mid-to-large food company is a target


MARKET
4 business ecosystems active in food supply:
9
We combine the technologies to propose a unique, unmatched solution


No comparable competitors promoting open source or a standard
COMPETITORS
9
Slow Fast
Simple
Complex
Series A


Just raised $10M
10
SUMMARY
Total addressable
market: $4.5B
35+ Quali
fi
ed B2B clients
4 Innovative unique business ecosystems
AI allowing sensory
digitisation
Con
fi
rmed by clients
$50M Revenue min in 5 Years
CAC: 1500€/unit at low scale


LTV: 55k€/unit (forecast)


Unit Price: 50-100k€
Our situation today; we have a vision for tomorrow.
11
TRACTION
5 addressable markets with our 4 ecosystems:
• Main market: Food producers


• + 4 additional markets


• Very high-potential, and great initial traction
With 10 pre-sales use-cases, we accumulated 10 LOIs,


including from early potential clients,


Indicating their motivation to work with the solution
12
• 1/ Pilot PoC (proof of concept)


• 2/ MVP (minimum viable product) at 10 clients


• 3/ Sell to 50-60 clients - 2.5-5M€ Turnover


• 4/ Forums as e-Market + DB
GO TO MARKET
1 - 10 - 50 clients in 18 months: milestones (for licensing)
Technical & Economical Validation


Discussion with 35+ industry partners


10 LOIs collected - 10 pre-sales use-cases
To be validated:


CAC: 1500€/unit at low scale


LTV: 55k€/unit (forecast)


Unit Price: 50-100k€/year
Amount of Clients
13
TEAM
Christian du Jardin


Interim CMO


(ex-sales/mktg Unilever)
François Gabriel


Wayenberg


Founder / CEO
Joel Bellenson


CPO, VP Research


(iSmell inventor)
Bernard Donnay


Project Management


(ex-IBM engineer)
Dany Kwintner


Project Strategy


(The Ingenious Company, Jp)
Loic Quertenmont


AI Black Belt


Interim / CTO
UNESCO Best of the web award,
Cybertheate
Management book: Manager 3.0
Wired cover with the smell printer
invention
UNESCO Best of the web award,
Cybertheate
14
ASKs
• 1.5M will be used for CXO & license PoC


• 2M: Tech developing a sensory standard


• 500k for co-creation (for 24 months op.)


“The sensory driven QC/P.Dev solution open to


every food organization that saves both


resources and energy plus an open source


app accessible to smaller entities.”
Seed: 2-4Mio on oversubscription


We look for MVP serialisation
15
Meet Dr. Abigail
Director, R&D Food Scientist
Customer Pro
fi
le
“Abigail could have more time to do essential analysis improving ROI!”
16
• From Germany to Japan


• Translating the taste… from one place to another!


• Remote printed food


Bon appétit:


“The Japanese consumer will love the new Pringle!”
Case Study
Sample research - Pringles remote printing:
17
Value Proposition
Revenue Income
Assumptions:


• Avg. € 50k per sale


• In Yr. 1, 35 customers


• Yr. 3 market share: 0.6 %


• By Yr. 3, 40 % from new sales;
60 % & from recurring sales


• FoodTech market


• Does not include future product
extensions


• 125 full time jobs at Yr. 5


• Unicorn by 2026
Five Year Projections (Millions, €)


Financials
18
19
Gross Profit & LTV


€31,000 per License


€72,700 per Cust. all in.
Avg Customer Buys


1 License per year
Avg Customer is worth


€50,000 in annual Revenue
Coding Cost: $15k
Distributor Cost: $-K ;
Marketing Cost: $2,5K
Customer Cost: $1,5K
13%
.n/a
%
Gross


Margin


40%
19
Revenue Model

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Ajinomatrix v0.91 27-09-21

  • 1. Digital Sensory Expertise software The fi rst AI expert system for food scientists francois.wayenberg@ajinomatrix.org www.ajinomatrix.org +32 470.596.768 1
  • 2. 2 PROBLEM LATE NON- CONFORMITY DETECTION TIME / WASTE SPILLING ANALOG DATA ANALYSIS NO STANDARD SENSORY DEFINITION TRIAL & ERROR WASTED TIME/ RESOURCES Problem 1: Quality control processes - disparate data silos, spillage Problem 2: Product development / localisation: slow, costly process Several data silos accumulate disparate, non integrated data Sensory data for food manufacturers is complex, non standard
  • 3. • Software Home page 3 Product 3
  • 4. • Wizard • Test data “Failures Teach AJ soft. Getting Smarter” Product 4
  • 6. 6 SOLUTION A simple software & standardisation framework using AI TRL: 7 An expert AI system Bridging the gap between QC systems and sensory evaluation Breaking down data silos into a single data-warehouse => Easier Troubleshooting & Product dev. > under development
  • 7. 7 BUSINESS MODEL Solution-relevant ecosystems LICENSING 50-100k€/year PoC SERVICES 10k€/Yweeks Ecosystem portfolio, with 4 con fi gurations: Combination of licensing+services DB / E-MARKET SCENT SHOP 7% / transaction R&D + TECH RESALES 50k€/deal LICENSING MODEL: Freemium Ex: SMBs, startups download FOSS, Using our services The conversion rate of B2B prospects understanding how this works is over 80%
  • 8. 8 • $4.5B TAM ( fl oored by $40 Mio turnover corps.) • $1.7T market size & Growth > 5% • TAM targets are Food Companies’ food scientists • Food waste is 30-40% of the total amount (USDA) •Ajinomatrix could help spare 3% of food waste in QC => The average mid-to-large food company is a target MARKET 4 business ecosystems active in food supply:
  • 9. 9 We combine the technologies to propose a unique, unmatched solution No comparable competitors promoting open source or a standard COMPETITORS 9 Slow Fast Simple Complex Series A Just raised $10M
  • 10. 10 SUMMARY Total addressable market: $4.5B 35+ Quali fi ed B2B clients 4 Innovative unique business ecosystems AI allowing sensory digitisation Con fi rmed by clients $50M Revenue min in 5 Years CAC: 1500€/unit at low scale LTV: 55k€/unit (forecast) Unit Price: 50-100k€ Our situation today; we have a vision for tomorrow.
  • 11. 11 TRACTION 5 addressable markets with our 4 ecosystems: • Main market: Food producers • + 4 additional markets • Very high-potential, and great initial traction With 10 pre-sales use-cases, we accumulated 10 LOIs, including from early potential clients, Indicating their motivation to work with the solution
  • 12. 12 • 1/ Pilot PoC (proof of concept) • 2/ MVP (minimum viable product) at 10 clients • 3/ Sell to 50-60 clients - 2.5-5M€ Turnover • 4/ Forums as e-Market + DB GO TO MARKET 1 - 10 - 50 clients in 18 months: milestones (for licensing) Technical & Economical Validation Discussion with 35+ industry partners 10 LOIs collected - 10 pre-sales use-cases To be validated: CAC: 1500€/unit at low scale LTV: 55k€/unit (forecast) Unit Price: 50-100k€/year Amount of Clients
  • 13. 13 TEAM Christian du Jardin Interim CMO (ex-sales/mktg Unilever) François Gabriel Wayenberg Founder / CEO Joel Bellenson CPO, VP Research (iSmell inventor) Bernard Donnay Project Management (ex-IBM engineer) Dany Kwintner Project Strategy (The Ingenious Company, Jp) Loic Quertenmont AI Black Belt Interim / CTO UNESCO Best of the web award, Cybertheate Management book: Manager 3.0 Wired cover with the smell printer invention UNESCO Best of the web award, Cybertheate
  • 14. 14 ASKs • 1.5M will be used for CXO & license PoC • 2M: Tech developing a sensory standard • 500k for co-creation (for 24 months op.) “The sensory driven QC/P.Dev solution open to every food organization that saves both resources and energy plus an open source app accessible to smaller entities.” Seed: 2-4Mio on oversubscription We look for MVP serialisation
  • 15. 15 Meet Dr. Abigail Director, R&D Food Scientist Customer Pro fi le “Abigail could have more time to do essential analysis improving ROI!”
  • 16. 16 • From Germany to Japan • Translating the taste… from one place to another! • Remote printed food Bon appétit: “The Japanese consumer will love the new Pringle!” Case Study Sample research - Pringles remote printing:
  • 18. Revenue Income Assumptions: • Avg. € 50k per sale • In Yr. 1, 35 customers • Yr. 3 market share: 0.6 % • By Yr. 3, 40 % from new sales; 60 % & from recurring sales • FoodTech market • Does not include future product extensions • 125 full time jobs at Yr. 5 • Unicorn by 2026 Five Year Projections (Millions, €) Financials 18
  • 19. 19 Gross Profit & LTV €31,000 per License €72,700 per Cust. all in. Avg Customer Buys 1 License per year Avg Customer is worth €50,000 in annual Revenue Coding Cost: $15k Distributor Cost: $-K ; Marketing Cost: $2,5K Customer Cost: $1,5K 13% .n/a % Gross Margin 40% 19 Revenue Model