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WAY.DO 
Contextual Orientation Platform 
Capponi Francesco 
Laffi Francesco 
Huynh Hoang Chau
WAY.DO 2 
This is George
WAY.DO 3 
Developers and their Apps 
Brands 
Marketing Research Companies 
There are a lot of people interested 
in how George thinks and behaves
WAY.DO 4 
“ I don’t like to share my personal life… 
it wouldn’t be personal if I shared it. ” ~ George 
Imagine a world where George doesn’t necessary have to give 
access to his personal data each time to every single “silly” 
software, web or mobile, or research. 
And yet, You still have the information you need.
WAY.DO 5 
Introducing an innovative application platform for 
‣ Business developers and researcher who want to enhance their 
capability of delivering a better strategy to be more successful 
on the market 
‣ Software developers who want to create a brand new breed of 
“context aware enabled” applications, smarter and more 
useful for everyday life 
‣ Ordinary users who need to regain control about their personal 
lifestyle information and (maybe) improve their habits
WAY .DO 
CONTEXTUAL ORIENTATION ENGINE 
Privacy, like eating and breathing, 
“ is one of life's basic requirements.” ~ Katherine Neville
WAY.DO 7 
” 
“ 
WAY .DO 
CONTEXTUAL ORIENTATION ENGINE 
§ QUICK AND EASY 
WAY.DO is a API service layer that can 
be seamlessly integrated with your 
existing application using both a 
native SDK and a REST API. 
§ AUTOMAGICAL 
What if, even knowing nearly zero info 
about the user, WAY.DO can provide 
an accurate estimate about “what 
kind of behavior” he has? 
§ SECURE AND DISCRETE 
Users’ private information are never 
exchanged between the host and 
the application itself: WAY.DO takes 
care of the “contextual” data by 
using an anonymous fingerprint based 
transmission 
WAY.DO is a contextual orientation 
p l a t f o r m t h a t enables t h e 
capability of building contextual 
awareness reasoning at a very 
little implementation cost for any 
kind of third party application. 
WITHOUT THE EXCHANGE OF 
ANY USER PRIVATE OR SENSITIVE DATA 
When an application asks, WAY.DO will answers 
Yes Sir, the User is a sporty type, He is a very busy 
person and he sleeps only 5 hour per day. 
Since you are asking me at 7am and today is 
monday, he is probably done running in his 
fitness context and in 20min he probably will be in 
a work context.
WAY.DO 8 
PLATFORM INNOVATIVENESS 
3 2 1 
§ “PERSONAS” BASED ANALYSIS AND PREDICTION 
We don’t base our analysis around the particularity of single users, we try to 
work on their “personas” instead, so that different behaviors can be 
approximated with a single persona. This allow us to discover and make 
available to our costumers a different type of categorization, using traits and 
aspects instead of properties. See the “Sinus Milieus” segmentation. 
§ CONTEXT ASSUMPTION 
Combining personas data with a defined baseline of local rules, we are able 
to assume the current user context, within a known degree of uncertainty: 
the more the context is defined the less the assumption is precise. 
§ CONTEXT PREDICTION 
When we will obtain enough (a lot of) data on behaviors, contexts and 
personas we will be more precise about the current context assumptions but 
we will also be able to predict what are the next context(s) users are more 
likely to move into, starting from the current one.
WAY.DO 9 
THE WAY.DO PLATFORM 
WAY.DO ENGINE 
It’s the platform engine which provide the main core functionalities. 
It provides the necessary infrastructure for contextual predictions. 
SMOKE SCREEN 
It’s the service layer that enables applications on your mobile or 
desktop to tap into the power of the WAY.DO engine. It also provides 
a front-end interface to allow the User to manage his private 
personal informations. 
LIFE STYLE 
It’s a killer application built to demonstrate the power of the WAY.DO 
engine and to start collecting behavioral data for improving the 
precision and the quality of predictions.
SMOKE SCREEN 
reclaim your privacy 
“ When it comes to privacy and accountability, 
people always demand the former for and the latter for everyone themselves” else. 
~ David Brin
SMOKE SCREEN 11 
SMOKE SCREEN 
reclaim your privacy 
§ AWARENESS, YOU HAVE FULL CONTROL 
User can willingly compile the creation 
of a “Persona”, a behavioral profile 
which can be requested any time by 
third party applications which want to 
know “what type of user are you”. 
§ SECURITY, BEYOND THE SMOKE SCREEN 
Personas can be c reated and 
completed also using automatically 
collected data retrieved by the 
framework. Third party apps will never 
gain access to your personal data but 
only to your Persona and the Context 
Prediction! We guarantee this! 
§ CONTEXT PREDICTION 
The WAY.DO platform provides a set of 
Context Predictions tailored around your 
Persona, along with their probability. 
SMOKESCREEN 
WAY.DO ENGINE 
what applications see 
Context 
Assumption 
and Prediction 
Persona 
User willingly 
input data 
eventually other data 
automatically collected 
privacy zone 
Language 
Timezone 
Mobile Sensors 
GPS 
Wifi 
… 
I am a morning runner 
I am a workaholic 
I don’t drive 
… 
Totally anonymous data 
60% you are at work 
20% you are at home 
20% you are commuting
SMOKE SCREEN 12 
HOW CAN WE LEVERAGE PERSONAS? 
§ PERSONAS AS BEHAVIOR 
Persona are fingerprints of a specify sets 
of behaviors: imagine them as a DNA 
which says if you are an active or a lazy 
person, if you are a workaholic or not. 
You can specify your own DNA, but the 
platform can improve and complete 
your Persona with inferred suggestions. 
§ ZERO KNOWLEDGE PREDICTION 
Since Personas indicates a behavioral 
pattern, a Persona can be matched 
against different “real person”. It means 
that even if you don’t want to disclose 
any kind of personal data, if we can 
assign you a proper default Persona, we 
can create assumption and prediction.
LIFE STYLE 
EVERY DAY IS IMPORTANT 
If you want things to change, you must change. 
“ If you want things to get better, you must get better.” ~ Ted Atoka
LIFE STYLE 14 
LIFE STYLE 
EVERY DAY IS IMPORTANT 
§ KNOW AND EVALUATE 
Know yourself by building your 
anonymous Persona, with your 
features and achievement and infuse 
it with your daily routine and activities 
for a rating evaluation 
§ COMPARE 
Compare your Persona with any other 
persona around the world: How 
healthier is the lifestyle evaluation of a 
persona who has your job and 
income but lives 3000 miles from you? 
§ IMPROVE 
Be a “financial trader” of your life style 
by copying successful styles and 
apply them to yours. Improve yourself 
by learning from the happiest. 
HOW CAN WE BUILD THE 
PLATFORM KNOWLEDGE? 
LifeStyle is a social network which serve as 
1. Integration reference 
The best way to show off the potential of the 
WAY.DO platform is with a killer application 
2. Data collector 
Users just need to create 
§ a Persona 
§ a Daily Routine
LIFE STYLE 15 
HOW CAN WE BUILD THE 
PLATFORM KNOWLEDGE? 
copy § Every personas created 
improve 
compare 
and every daily routine 
created on the system, 
will help us improve the 
WAY.DO platform 
§ We wi l l be able to 
suggest more “More 
Successfully”, “Happier” 
or even “Healthier” 
lifestyles 
§ We are open to endless 
possibilities 
WAY.DO ENGINE
WAY.DO 16 
SIMPLE EXAMPLE SCENARIOS 
§ MUSIC / MEDIA 
We have our taste and moods, however they may change 
throughout the day: think about our morning daily workout or during 
the working time in the office. A WAY.DO powered application will 
know about the behavior we may have and will serve us playlists and 
songs accordingly to the context. 
§ INSTANT MESSAGING 
A WAY.DO powered Instant Messaging app will show you the right set 
of favorite contacts depending on the context you are, at home, at 
work, at ease. It may also suggest you when to place important calls, 
by leveraging the contextual prediction capabilities of the platform. 
§ A LOT MORE… 
TO DO Lists, Organizers, Note takers, Social Networks, Map 
Navigators, City Guides… Entertainment, Advertising, 
Suggestion Systems, Healthcare, Wellness, Insurance and many 
more environments can be improved effortlessly!
WAY.DO 17 
COMPETITORS (BIG DATA PLAYERS) 
+ 
semantics 
main treats quadrant 
contextual 
linguistics, meaning, social monitoring 
location based 
awareness 
user control 
GPS / WiFi / 3G, iBeacon 
environmental and scenarios intelligence 
We are here. More than big data 
We want to bet on “local” data, 
specifics and reasonable reliable 
even on small numbers. 
We are different because we try to 
build awareness and shift control 
back to users. 
We work on aspirational side more 
than reality one. 
Unexpected treats
WAY.DO 18 
MARKET - AN EXAMPLE 
by 2016 we estimated Mobile Commerce will balloon to over 30 billion dollars, 
but in 2013 it was alone 42.13 billion dollars 
Current number of IOS apps in the Apple App Store 1,144,451 
Current number of Android apps in the Google Play Store 1,218,312 
More than 780 mln people will be mobile only users, not owning laptop or desktop computers 
who are “anomalies”, the new standard 
who are -­ not -­ categorized (yet)
WAY.DO 19 
TARGETS 
§ BUSINESS DEVELOPERS 
Marketing 
Strategists 
Analysts 
§ APPLICATION DEVELOPERS 
Independent Developers 
App Agencies 
Companies 
§ USERS 
Indirect Targets 
We want to create prospective value to 
roles that are already accustomed to the 
benefits of business intelligence on big 
data. We want to provide tools. We want to 
be complementary to existent players, we 
don’t need to compete. 
Our solution is faster and easier to 
implement than any other homemade 
solution. We aim for a fast and wide 
spread adoption to be able to establish a 
differentiation from the technologies 
already on the market. 
We don’t need to convince users to buy 
us, we need to educate them into the 
culture of privacy awareness, we want 
them to search for products that are 
powered by our technologies. 
We want to create value by provide 
services with a clear ethical direction.
WAY.DO 20 
BUSINESS - REVENUE MODEL 
BASIC PREMIUM AGENCY 
Market Segmentation Report 
Specific Personas Report 
Behavioral Trends Report 
One Time Direct Consulting 
No Support 
Market Segmentation Report 
Specific Personas Report 
Behavioral Trends Report 
Access to Raw Live Reports 
Limited Data Queries 
Direct Consulting 
Support 
Technical Support via 
Ticketing System 
Direct access to Platform Tools 
for enterprise data storage 
and Internal Use 
Unlimited Data Queries 
Technical Support via direct 
consulting 
per report Monthly and Annual Subscription Annual Subscription
WAY.DO 21 
DEVELOPERS - REVENUE MODEL 
BASIC FREE ADVANCED PREDICTION 
Unlimited Personas Requests 
Unlimited Context Requests 
Only Basic Context Taxonomy 
No Reliability Metadata 
No Support 
Mandatory feedback reporting 
after a context response 
Unlimited Personas Requests 
Unlimited Context Requests 
Advanced Context Taxonomy 
Full reliability Metadata 
Technical Support via 
Ticketing System 
Voluntary Feedback reporting 
Unlimited Personas Requests 
Unlimited Context Requests 
Access to Context Prediction 
Advanced Context Taxonomy 
Full reliability Metadata 
Technical Support via direct 
consulting 
Voluntary Feedback reporting 
Free to use Monthly and Annual Subscription Annual Subscription
WAY.DO 22 
USER - REVENUE MODEL 
SMOKESCREEN LIFESTYLE LIFESTYLE PLUS 
Unlimited Persona features 
Unlimited changes 
No usage limitation 
Free Persona creation 
Unlimited Enquiries 
Unlimited Comparisons 
Integration with other services 
Free Persona creation 
Unlimited Enquiries 
Unlimited Comparisons 
Integration with other services 
Day to Day Activity Log 
Detailed statistics 
Free to use Free to use 
Granted with 
Achievement awards 
Monthly subscription
WAY.DO 23 
ROADMAP 
SEP 2014 
Company Foundation 
NOV 2014 
MAR 2015 
APR 2015 
Staff Enlargement 
Company Logistics 
Business Development 
Mobile Framework for Data Analysis Internal Alpha 
SmokeScreen Public Beta 
Mobile Framework Public Beta 
University Partnership 
SmokeScreen Launch 
Marketing Development + Partnerships 
Start Data Monitoring 
JUN 2015 LifeStyle Public Beta 
Public API Beta 
SEP 2015 LifeStyle Launch 
JAN 2016 WAY.DO Public Beta 
Data Analysis 
Semantic Architecture and Staff 
Public API Launch 
Patent Registration if applicable 
Scaling up to a Big Data Architecture 
ETA 2016 WAY.DO PREDICTIONS Public Beta 
5k 
10k 
10k 
25k grant limit
WAY.DO - INVESTMENT REQUIREMENTS - 3YRS 24 
01 jan ’14 - 31 dec ‘14 01 jan ’15 - 31 dec ‘15 01 jan ’16 - 31 dec ‘16 01 jan ’17 - 31 dec ‘17 
Direct Labour Cost (developers) -€ 9.000 -€ 77.000 -€ 90.000 -€ 90.000 
SG&A € 0 -€ 14.167 -€ 39.000 -€ 51.500 
Cash Flow from operations -€ 9.000 -€ 91.167 -€ 129.000 -€ 141.500 
Investment in Fixed Assets € 0 € 0 -€ 10.000 € 0 
Investment in intangible Assets(-) € 0 -€ 2.000 € 0 € 0 
Cash Flow from investments € 0 -€ 2.000 -€ 10.000 € 0 
Cost of finance € 0 € 0 € 0 € 0 
Net Cash Flow -€ 9.000 -€ 93.167 -€ 139.000 -€ 141.500 
Monthly Burn Rate -€ 1.286 -€ 7.764 -€ 11.583 -€ 11.792 
Cost of the period € 0 -€ 8.892 -€ 48.433 -€ 81.602 
Break Even 860
WAY.DO - INVESTMENT REQUIREMENTS - 3YRS 25 
Details of SG&A costs 31 dec ‘14 31 dec ‘15 31 dec ‘16 31 dec ‘17 
Admin Costs € 0 € 0 -€ 17.500 -€ 30.000 
Marketing and Promotion € 0 -€ 2.917 -€ 5.000 -€ 5.000 
Annual fees for Server € 0 -€ 5.417 -€ 6.500 -€ 6.500 
Consultant service € 0 -€ 2.917 -€ 5.000 -€ 5.000 
Other costs € 0 -€ 2.917 -€ 5.000 -€ 5.000 
SG&A € 0 -€ 14.167 -€ 39.000 -€ 51.500
WAY.DO 26 
WHAT ARE WE LOOKING FOR 
§ FINANCIAL / BUSINESS PARTNERS 
seed investments 
business development 
promotion 
marketing researcher and data feeders 
§ UNIVERSITY / RESEARCH PARTNERS 
platform development 
semantic and graph algorithm optimizations 
§ TECHNICAL PARTNERS 
patents and protection 
application developers (B2B and B2C) 
opinion leadership
WAY.DO 27 
TEAM AND ADVISORS 
Capponi Francesco Laffi Francesco Huynh Hoang Strollo Federico 
FOUNDER FOUNDER FOUNDER FINANCIAL ADVISOR 
capponi.francesco@gmail.com francesco.laffi@gmail.com hoangchau.huynh@gmail.com 
Student Freelance Developer Freelance UX Strategist 
Business Development 
Front-End Development 
System Administration 
Back-End Development 
Product Management 
UX and UI Design 
Whatever it takes Whatever it takes Whatever it takes

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WAY.DO - Presentation Deck - Slideware

  • 1. WAY.DO Contextual Orientation Platform Capponi Francesco Laffi Francesco Huynh Hoang Chau
  • 2. WAY.DO 2 This is George
  • 3. WAY.DO 3 Developers and their Apps Brands Marketing Research Companies There are a lot of people interested in how George thinks and behaves
  • 4. WAY.DO 4 “ I don’t like to share my personal life… it wouldn’t be personal if I shared it. ” ~ George Imagine a world where George doesn’t necessary have to give access to his personal data each time to every single “silly” software, web or mobile, or research. And yet, You still have the information you need.
  • 5. WAY.DO 5 Introducing an innovative application platform for ‣ Business developers and researcher who want to enhance their capability of delivering a better strategy to be more successful on the market ‣ Software developers who want to create a brand new breed of “context aware enabled” applications, smarter and more useful for everyday life ‣ Ordinary users who need to regain control about their personal lifestyle information and (maybe) improve their habits
  • 6. WAY .DO CONTEXTUAL ORIENTATION ENGINE Privacy, like eating and breathing, “ is one of life's basic requirements.” ~ Katherine Neville
  • 7. WAY.DO 7 ” “ WAY .DO CONTEXTUAL ORIENTATION ENGINE § QUICK AND EASY WAY.DO is a API service layer that can be seamlessly integrated with your existing application using both a native SDK and a REST API. § AUTOMAGICAL What if, even knowing nearly zero info about the user, WAY.DO can provide an accurate estimate about “what kind of behavior” he has? § SECURE AND DISCRETE Users’ private information are never exchanged between the host and the application itself: WAY.DO takes care of the “contextual” data by using an anonymous fingerprint based transmission WAY.DO is a contextual orientation p l a t f o r m t h a t enables t h e capability of building contextual awareness reasoning at a very little implementation cost for any kind of third party application. WITHOUT THE EXCHANGE OF ANY USER PRIVATE OR SENSITIVE DATA When an application asks, WAY.DO will answers Yes Sir, the User is a sporty type, He is a very busy person and he sleeps only 5 hour per day. Since you are asking me at 7am and today is monday, he is probably done running in his fitness context and in 20min he probably will be in a work context.
  • 8. WAY.DO 8 PLATFORM INNOVATIVENESS 3 2 1 § “PERSONAS” BASED ANALYSIS AND PREDICTION We don’t base our analysis around the particularity of single users, we try to work on their “personas” instead, so that different behaviors can be approximated with a single persona. This allow us to discover and make available to our costumers a different type of categorization, using traits and aspects instead of properties. See the “Sinus Milieus” segmentation. § CONTEXT ASSUMPTION Combining personas data with a defined baseline of local rules, we are able to assume the current user context, within a known degree of uncertainty: the more the context is defined the less the assumption is precise. § CONTEXT PREDICTION When we will obtain enough (a lot of) data on behaviors, contexts and personas we will be more precise about the current context assumptions but we will also be able to predict what are the next context(s) users are more likely to move into, starting from the current one.
  • 9. WAY.DO 9 THE WAY.DO PLATFORM WAY.DO ENGINE It’s the platform engine which provide the main core functionalities. It provides the necessary infrastructure for contextual predictions. SMOKE SCREEN It’s the service layer that enables applications on your mobile or desktop to tap into the power of the WAY.DO engine. It also provides a front-end interface to allow the User to manage his private personal informations. LIFE STYLE It’s a killer application built to demonstrate the power of the WAY.DO engine and to start collecting behavioral data for improving the precision and the quality of predictions.
  • 10. SMOKE SCREEN reclaim your privacy “ When it comes to privacy and accountability, people always demand the former for and the latter for everyone themselves” else. ~ David Brin
  • 11. SMOKE SCREEN 11 SMOKE SCREEN reclaim your privacy § AWARENESS, YOU HAVE FULL CONTROL User can willingly compile the creation of a “Persona”, a behavioral profile which can be requested any time by third party applications which want to know “what type of user are you”. § SECURITY, BEYOND THE SMOKE SCREEN Personas can be c reated and completed also using automatically collected data retrieved by the framework. Third party apps will never gain access to your personal data but only to your Persona and the Context Prediction! We guarantee this! § CONTEXT PREDICTION The WAY.DO platform provides a set of Context Predictions tailored around your Persona, along with their probability. SMOKESCREEN WAY.DO ENGINE what applications see Context Assumption and Prediction Persona User willingly input data eventually other data automatically collected privacy zone Language Timezone Mobile Sensors GPS Wifi … I am a morning runner I am a workaholic I don’t drive … Totally anonymous data 60% you are at work 20% you are at home 20% you are commuting
  • 12. SMOKE SCREEN 12 HOW CAN WE LEVERAGE PERSONAS? § PERSONAS AS BEHAVIOR Persona are fingerprints of a specify sets of behaviors: imagine them as a DNA which says if you are an active or a lazy person, if you are a workaholic or not. You can specify your own DNA, but the platform can improve and complete your Persona with inferred suggestions. § ZERO KNOWLEDGE PREDICTION Since Personas indicates a behavioral pattern, a Persona can be matched against different “real person”. It means that even if you don’t want to disclose any kind of personal data, if we can assign you a proper default Persona, we can create assumption and prediction.
  • 13. LIFE STYLE EVERY DAY IS IMPORTANT If you want things to change, you must change. “ If you want things to get better, you must get better.” ~ Ted Atoka
  • 14. LIFE STYLE 14 LIFE STYLE EVERY DAY IS IMPORTANT § KNOW AND EVALUATE Know yourself by building your anonymous Persona, with your features and achievement and infuse it with your daily routine and activities for a rating evaluation § COMPARE Compare your Persona with any other persona around the world: How healthier is the lifestyle evaluation of a persona who has your job and income but lives 3000 miles from you? § IMPROVE Be a “financial trader” of your life style by copying successful styles and apply them to yours. Improve yourself by learning from the happiest. HOW CAN WE BUILD THE PLATFORM KNOWLEDGE? LifeStyle is a social network which serve as 1. Integration reference The best way to show off the potential of the WAY.DO platform is with a killer application 2. Data collector Users just need to create § a Persona § a Daily Routine
  • 15. LIFE STYLE 15 HOW CAN WE BUILD THE PLATFORM KNOWLEDGE? copy § Every personas created improve compare and every daily routine created on the system, will help us improve the WAY.DO platform § We wi l l be able to suggest more “More Successfully”, “Happier” or even “Healthier” lifestyles § We are open to endless possibilities WAY.DO ENGINE
  • 16. WAY.DO 16 SIMPLE EXAMPLE SCENARIOS § MUSIC / MEDIA We have our taste and moods, however they may change throughout the day: think about our morning daily workout or during the working time in the office. A WAY.DO powered application will know about the behavior we may have and will serve us playlists and songs accordingly to the context. § INSTANT MESSAGING A WAY.DO powered Instant Messaging app will show you the right set of favorite contacts depending on the context you are, at home, at work, at ease. It may also suggest you when to place important calls, by leveraging the contextual prediction capabilities of the platform. § A LOT MORE… TO DO Lists, Organizers, Note takers, Social Networks, Map Navigators, City Guides… Entertainment, Advertising, Suggestion Systems, Healthcare, Wellness, Insurance and many more environments can be improved effortlessly!
  • 17. WAY.DO 17 COMPETITORS (BIG DATA PLAYERS) + semantics main treats quadrant contextual linguistics, meaning, social monitoring location based awareness user control GPS / WiFi / 3G, iBeacon environmental and scenarios intelligence We are here. More than big data We want to bet on “local” data, specifics and reasonable reliable even on small numbers. We are different because we try to build awareness and shift control back to users. We work on aspirational side more than reality one. Unexpected treats
  • 18. WAY.DO 18 MARKET - AN EXAMPLE by 2016 we estimated Mobile Commerce will balloon to over 30 billion dollars, but in 2013 it was alone 42.13 billion dollars Current number of IOS apps in the Apple App Store 1,144,451 Current number of Android apps in the Google Play Store 1,218,312 More than 780 mln people will be mobile only users, not owning laptop or desktop computers who are “anomalies”, the new standard who are -­ not -­ categorized (yet)
  • 19. WAY.DO 19 TARGETS § BUSINESS DEVELOPERS Marketing Strategists Analysts § APPLICATION DEVELOPERS Independent Developers App Agencies Companies § USERS Indirect Targets We want to create prospective value to roles that are already accustomed to the benefits of business intelligence on big data. We want to provide tools. We want to be complementary to existent players, we don’t need to compete. Our solution is faster and easier to implement than any other homemade solution. We aim for a fast and wide spread adoption to be able to establish a differentiation from the technologies already on the market. We don’t need to convince users to buy us, we need to educate them into the culture of privacy awareness, we want them to search for products that are powered by our technologies. We want to create value by provide services with a clear ethical direction.
  • 20. WAY.DO 20 BUSINESS - REVENUE MODEL BASIC PREMIUM AGENCY Market Segmentation Report Specific Personas Report Behavioral Trends Report One Time Direct Consulting No Support Market Segmentation Report Specific Personas Report Behavioral Trends Report Access to Raw Live Reports Limited Data Queries Direct Consulting Support Technical Support via Ticketing System Direct access to Platform Tools for enterprise data storage and Internal Use Unlimited Data Queries Technical Support via direct consulting per report Monthly and Annual Subscription Annual Subscription
  • 21. WAY.DO 21 DEVELOPERS - REVENUE MODEL BASIC FREE ADVANCED PREDICTION Unlimited Personas Requests Unlimited Context Requests Only Basic Context Taxonomy No Reliability Metadata No Support Mandatory feedback reporting after a context response Unlimited Personas Requests Unlimited Context Requests Advanced Context Taxonomy Full reliability Metadata Technical Support via Ticketing System Voluntary Feedback reporting Unlimited Personas Requests Unlimited Context Requests Access to Context Prediction Advanced Context Taxonomy Full reliability Metadata Technical Support via direct consulting Voluntary Feedback reporting Free to use Monthly and Annual Subscription Annual Subscription
  • 22. WAY.DO 22 USER - REVENUE MODEL SMOKESCREEN LIFESTYLE LIFESTYLE PLUS Unlimited Persona features Unlimited changes No usage limitation Free Persona creation Unlimited Enquiries Unlimited Comparisons Integration with other services Free Persona creation Unlimited Enquiries Unlimited Comparisons Integration with other services Day to Day Activity Log Detailed statistics Free to use Free to use Granted with Achievement awards Monthly subscription
  • 23. WAY.DO 23 ROADMAP SEP 2014 Company Foundation NOV 2014 MAR 2015 APR 2015 Staff Enlargement Company Logistics Business Development Mobile Framework for Data Analysis Internal Alpha SmokeScreen Public Beta Mobile Framework Public Beta University Partnership SmokeScreen Launch Marketing Development + Partnerships Start Data Monitoring JUN 2015 LifeStyle Public Beta Public API Beta SEP 2015 LifeStyle Launch JAN 2016 WAY.DO Public Beta Data Analysis Semantic Architecture and Staff Public API Launch Patent Registration if applicable Scaling up to a Big Data Architecture ETA 2016 WAY.DO PREDICTIONS Public Beta 5k 10k 10k 25k grant limit
  • 24. WAY.DO - INVESTMENT REQUIREMENTS - 3YRS 24 01 jan ’14 - 31 dec ‘14 01 jan ’15 - 31 dec ‘15 01 jan ’16 - 31 dec ‘16 01 jan ’17 - 31 dec ‘17 Direct Labour Cost (developers) -€ 9.000 -€ 77.000 -€ 90.000 -€ 90.000 SG&A € 0 -€ 14.167 -€ 39.000 -€ 51.500 Cash Flow from operations -€ 9.000 -€ 91.167 -€ 129.000 -€ 141.500 Investment in Fixed Assets € 0 € 0 -€ 10.000 € 0 Investment in intangible Assets(-) € 0 -€ 2.000 € 0 € 0 Cash Flow from investments € 0 -€ 2.000 -€ 10.000 € 0 Cost of finance € 0 € 0 € 0 € 0 Net Cash Flow -€ 9.000 -€ 93.167 -€ 139.000 -€ 141.500 Monthly Burn Rate -€ 1.286 -€ 7.764 -€ 11.583 -€ 11.792 Cost of the period € 0 -€ 8.892 -€ 48.433 -€ 81.602 Break Even 860
  • 25. WAY.DO - INVESTMENT REQUIREMENTS - 3YRS 25 Details of SG&A costs 31 dec ‘14 31 dec ‘15 31 dec ‘16 31 dec ‘17 Admin Costs € 0 € 0 -€ 17.500 -€ 30.000 Marketing and Promotion € 0 -€ 2.917 -€ 5.000 -€ 5.000 Annual fees for Server € 0 -€ 5.417 -€ 6.500 -€ 6.500 Consultant service € 0 -€ 2.917 -€ 5.000 -€ 5.000 Other costs € 0 -€ 2.917 -€ 5.000 -€ 5.000 SG&A € 0 -€ 14.167 -€ 39.000 -€ 51.500
  • 26. WAY.DO 26 WHAT ARE WE LOOKING FOR § FINANCIAL / BUSINESS PARTNERS seed investments business development promotion marketing researcher and data feeders § UNIVERSITY / RESEARCH PARTNERS platform development semantic and graph algorithm optimizations § TECHNICAL PARTNERS patents and protection application developers (B2B and B2C) opinion leadership
  • 27. WAY.DO 27 TEAM AND ADVISORS Capponi Francesco Laffi Francesco Huynh Hoang Strollo Federico FOUNDER FOUNDER FOUNDER FINANCIAL ADVISOR capponi.francesco@gmail.com francesco.laffi@gmail.com hoangchau.huynh@gmail.com Student Freelance Developer Freelance UX Strategist Business Development Front-End Development System Administration Back-End Development Product Management UX and UI Design Whatever it takes Whatever it takes Whatever it takes