2. OUR TEAM
Matteo Thomas
DESIGNER
Simone DEV - SA
CEO
Xu Fabian Michele
DEV DESIGNER DEV - SA

3. ADVISORS
Giorgio Patrini
MSc Computer Science @ Politecnico Milan, PhD Machine Learning @ NICTA Sydney
Edoardo Canetta Rossi Palermo
Law @ Bocconi and Berkeley, Corporate Lawyer @ Studio Chiomenti, Milan
Nicola Gatti, PhD
Professor @ PoliMI, Computer Eng.
Currently Recruiting MSc Comp. Eng. interns for the project

4. So, the problem:
Finding the best way to get
from point A to point B

5. GETTING AROUND IS A MESS
?

6. Is it really door to door?

7. WITH US

8. GETTING DATA
20 out of the 35 biggest European metropolitan
areas don’t have standard formats (e.g., GTFS) or
APIs
Our platform can get data from anywhere
(ok, maybe not this one... at this time :)

9. Innovative + traditional transportation, instant e-ticketing

10. COMPETITION
FEATURES / PLAYER
User preferences optimization
API access
Innovative transportation
E-ticketing interface
Non-standard data (PDF, XLS...)
Medium-long distance trip-planning

11. PRIVATE
WE’RE BETA: LIVE
READY TO
LAUNCH.

12. SCALING - ITALY
0 20 40 60 80
North
Center
Data coverage (%)
South
Islands
39 million covered in 6 months
(~65%)
+
Market opportunity Transit data

13. SCALING INTERNATIONALLY
800)
Top 80% revenue in Europe
Copenhagen)metropolitan)area)
Hours/unit of revenue [inefficiency]
700)
Time needed: ~750 individual hours
600)
Liverpool)
Valencia)
500) Lyon)
Barcelona)metropolitan)area)
400)
Zürich)metropolitan)area)
Vienna)
StuQgart)Metropolitan)Region)
Rhein2Süd[20])(Cologne/Bonn)Region))
Naples)metropolitan)area)
300) Greater)Oslo)
Rome)metropolitan)area)
Frankfurt/Rhine2Main)Region)
Munich)
Hamburg)Metropolitan)Region)
200)
Ruhr)area[20])(Essen)–)Bochum)–Dortmund))
100)
Greater)London)
Dublin)Metropolitan)Area)
Greater)Manchester) Paris)metropolitan)area)
West)Yorkshire)(Bradford)&)Leeds))
Metropolitan)Stockholm)
Brussels2Capital)Region) The)Hague) Rhein2Nord[20])(Düsseldorf2Neuss))
Turin)metropolitan)area) West)Midlands)(Birmingham))
Berlin) Madrid)metropolitan)area)
0) RoQerdam)
0) Lille2Kortrijk2Tournai) 100000) Amsterdam)metropolitan)area)Milan)metropolitan)area)
200000) 300000) 400000) 500000) 600000)
Expected revenue [relative number]

14. WHAT’S NEXT?
top
80%
coverage layer (external?) apps
integration
KEY HIRES
- 1 front end developer
- 1 mobile developer
- 3 dev interns (through Nicola)

15. REV MODEL/API: PULL VS PUSH
“Pull” Markets area [t0]
As we grow, the area expands
Maps/
Expected sales effort
Search
Eng.
CTM
Travel
booking
Online
reviews
Istant
deals
“Push” Markets area [t0]
Value proposition consistency

16. OR, JUST LINK IT FOR FREE!
There are a lot of physical addresses
on the internet.
We can help showing how to reach
them. With a link, or with our API.
(and we get free traffic!)

17. THE FUTURE: PLATFORM
The best way to get from A to B can be used in a lot of
ways.
More than we’ll ever know.

18. REVENUE MODELS/2
E-TICKETING
API with E-Ticketing services (e.g.,
GlobeSherpa, Masabi), % on commission
PAID LISTINGS
Private transportation companies (i.e. taxi,
airport shuttle) can input their data

19. REVENUE MODELS/3
GEO-LOCALIZED ADVERTISING
Locally targeted mobile display ads CTR: 5% to 8%
typical mobile display ads CTR: 0.6%

20. EXIT STRATEGY
We’ll leverage on the
Maps/
Expected sales effort
Search B2B relations we’ll have built
Eng.
Yahoo Maps
Bing
Apple Maps
CTM GMaps
Travel
booking Midas
Expedia Salesforce (CRM)
Online Venere
reviews
Trivago
Kayak
Yelp
Istant TripAdvisor
deals Google Local
CitySearch
Groupon/CityDeal
Value proposition consistency