Mindolia- Facial Recognition - Pitch deck

Mostapha Benhenda
Mostapha BenhendaData Scientist
Mindolia
Pitch Deck
23 September 2016
Company Purpose
2
Mindolia: Facial recognition with a
human face
Problems
3
Customer pains:
-noise pollution from frequent
ringbell in hostels.
-Use of badges or digicodes to
control access...
Solution
4
Facial recognition: fast and easy
identification
Why Now
5
-Technology is cheaper and more
accessible than ever: Open-source
(OpenFace), cloud (AWS)....
-Mentalities evolve towards less
privacy and more public identification
(real identities on Facebook...)
Market Size
6
Profile of the customers: hotels,
event management, supermarkets,
shops, CCTV securities,
governments, controlled-access
venues
Market size: huge
Competition
7
•
Biggest competitors:
Conservatism, legal, ethical and
privacy issues
•
Corporate competitors...
•
Startups doing cloud video
analytics ...
•
Competitive advantage: luck
Product
8
Real-time identification with video
streaming, connected with a
database of persons.
Based on open-source deep
learning technology
Development roadmap: iterate from
user feedback
Business Model
1
Revenue model:
•
Custom solutions for B2B customers
•
Charge cloud storage of video
•
(total price=AWS S3+margin)
•
Charge real-time video processing
•
(total price=AWS EC2 + margin)
Team
1
Founder & Management:
Mostapha Benhenda, PhD
Math Paris 13, organizer of the
Kiev deep learning meetup.
Financials
1
Revenue:
zero
Cost:
peanuts
1 of 11

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Mindolia- Facial Recognition - Pitch deck