2. <Team>
Luis de Matos - Computer Engineering at UBI – Project Manager.
Michael Adaixo - Computer Engineering at UBI – Software Development.
Pedro Querido - Student in Computer Engineering from UBI – Project Development
Pedro Araújo - PhD in computer science and is currently Assistant Professor of the
Department of Informatics at UBI.
Marly Costa and Diana Ferreira - Industrial Design at UBI.
3. Challenge
Have they ever asked how disabled people live in our society? And
elderly people?
650 million people in the world face mobility restrictions
• 54 million people in U.S.
• 61% are still in working age
• This number will double in next 15 years
• $1 Trillion an Aggregated Income and a Discretionary Spending
~$220 B.
4. You know how a simple shopping trip can
be a challenge?
There must be a
simple way go
shopping!
There is a need for greater autonous
5. wi-GO Unique Approach
• Fully autonomous device system
• Follow the individual
without recognition error
• Avoid obstacles and hazards
Unlike the competition our solution uses a
intelligent image recognition to connect
with the individual.
This enables him/her to carry
objects in an autonomous and
dynamic way
6. Existing Solutions wi-GO
Cost betwen 100 € - 2.000 €
• Nothing ergonomics
• Don´t solve the problem
• Don’t help all people Cost about 400€ - 500€
• Aren't a viable • Ergonomic design
• Fully autonomous
solution • Competitive Solution
Our Solution is unique in the world!
7. Our Company
• UBI Spin-off (2011)
• Currently incubated at UBI
• Currently boot strapping
• Loonking for 100K€ investment to grow the team
and deply beta test (25 units)
Net Present Value: 6 Million € - Payback: y2
8. Target Segment
Suppliers Producers Custumers Users
Electronics Shopping malls
Wi-GO Disabled People
Hardware Airports
Orthopedic houses Elderly people
Company molds Orthipedic Houses
Shopping carts Mobility redudec
producers Shopping carts producers
people
Tecnological Private people All consumers
companies
Industry
Provisional patent field Key Partnerships way under
