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OUR TEAM

SimoneCEO

MicheleDEV - SA

ThomasDEV - SA

FabianDESIGNER

MatteoDESIGNER

XuDEV

ADVISORS

Giorgio PatriniMSc Computer Science @ Politecnico Milan, PhD Machine Learning @ NICTA Sydney

Edoardo Canetta Rossi PalermoLaw @ Bocconi and Berkeley, Corporate Lawyer @ Studio Chiomenti, Milan

Nicola Gatti, PhDProfessor @ PoliMI, Computer Eng.

Currently Recruiting MSc Comp. Eng. interns for the project

So, the problem:Finding the best way to get

from point A to point B

GETTING AROUND IS A MESS

?

Is it really door to door?

WITH US

GETTING DATA20 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 :)

Innovative + traditional transportation, instant e-ticketing

COMPETITION

User preferences optimization

API accessInnovative transportationE-ticketing interface

Non-standard data (PDF, XLS...)

Medium-long distance trip-planning

FEATURES / PLAYER

WE’RE READY TO LAUNCH.

PRIVATE BETA: LIVE

SCALING - ITALY0 20 40 60 80

NorthCenter

SouthIslands

Data coverage (%)

39 million covered in 6 months(~65%)

+

Market opportunity Transit data

SCALING INTERNATIONALLY

Amsterdam)metropolitan)area)

Barcelona)metropolitan)area)

Berlin)Brussels2Capital)Region)

Copenhagen)metropolitan)area)

Dublin)Metropolitan)Area)

Frankfurt/Rhine2Main)Region)

Greater)London)

Greater)Manchester)

Greater)Oslo)

Hamburg)Metropolitan)Region)

Lille2Kortrijk2Tournai)

Liverpool)

Lyon)

Madrid)metropolitan)area)Metropolitan)Stockholm)

Milan)metropolitan)area)

Munich)

Naples)metropolitan)area)

Paris)metropolitan)area)

Rhein2Nord[20])(Düsseldorf2Neuss))

Rhein2Süd[20])(Cologne/Bonn)Region))

Rome)metropolitan)area)

RoQerdam)

Ruhr)area[20])(Essen)–)Bochum)–Dortmund))

StuQgart)Metropolitan)Region)

The)Hague)Turin)metropolitan)area)

Valencia)

Vienna)

West)Midlands)(Birmingham))

West)Yorkshire)(Bradford)&)Leeds))

Zürich)metropolitan)area)

0)

100)

200)

300)

400)

500)

600)

700)

800)

0) 100000) 200000) 300000) 400000) 500000) 600000)

Hou

rs/u

nit o

f rev

enue

[ine

fficie

ncy]

Expected revenue [relative number]

Top 80% revenue in EuropeTime needed: ~750 individual hours

WHAT’S NEXT?

KEY HIRES

- 1 front end developer- 1 mobile developer

- 3 dev interns (through Nicola)

80%top

coverage layer (external?) apps integration

REV MODEL/API: PULL VS PUSH

CTM

Istant deals

Online reviews

Value proposition consistency

Expe

cted

sales

effo

rt

“Push” Markets area [t0]

Maps/Search

Eng.

Travel booking

As

we

grow

, the

are

a ex

pand

s“Pull” Markets area [t0]

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!)

THE FUTURE: PLATFORMThe best way to get from A to B can be used in a lot of

ways.More than we’ll ever know.

REVENUE MODELS/2

E-TICKETINGAPI with E-Ticketing services (e.g.,

GlobeSherpa, Masabi), % on commission

PAID LISTINGSPrivate transportation companies (i.e. taxi,

airport shuttle) can input their data

REVENUE MODELS/3GEO-LOCALIZED ADVERTISING

Locally targeted mobile display ads CTR: 5% to 8%typical mobile display ads CTR: 0.6%

EXIT STRATEGY

CTM

Istant deals

Online reviews

Value proposition consistency

Expe

cted

sales

effo

rt Maps/Search

Eng.

Travel booking

We’ll leverage on the B2B relations we’ll have built

Yahoo MapsBing

Apple MapsGMaps

MidasSalesforce (CRM)Expedia

VenereTrivagoKayak

YelpTripAdvisor

Google LocalCitySearch

Groupon/CityDeal

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