Recognizz.it slideshow for Lviv IT Arena startup competition

1. www.recognizz.it
recognizzit

2. Recognizz.it is a SaaS service for intelligent
images recognition. We detect faces on images,
compare localized faces and recognize
the objects on images.
WHO WE ARE
2/14
recognizzit

3. More than 1 billion pictures are taken every day
Recognition of people and objects
Sorting
Quick search
PROBLEM
recognizzit 3/14

4. B2B market
SaaS based on Deep Learning
Both types (face recognition and image tagging)
SOLUTION
recognizzit 4/14

5. 2014
2,3
10
12,1
14,6
17,7
21,4
25,9
31,4
2,9 3,8 4,8
6,2
7,9
10,1
10$
20$
30$
2015 2016 2017 2018 2019 2020
Global
recognition
market
Face
recognition
market
TAM (Total addressable market)– $12 B.
SAM (Serviceable addressable market)– $5 B.
SOM (Share of Market) –$250 M.
MARKET
5/14

6. Face Detection
Kairos
Lambda Labs
SKY Biometry
Cloud Sight
Imagga
Clarifai
Rekognition
Alchemy API
RecognizzIt
Face Recognition Image Tagging Fine Tuning
COMPETITORS
6/14

7. json
Send a file to a server
(from any device)
Photo is processed
on the server
Receive results in JSON
HOW IT WORKS
recognizzit 7/14

8. TECHNOLOGICAL BACKGROUND
recognizzit
Technologies: Deep Learning, Neural Networks,
Convolutional Neural Networks, Support Vector Machines.
Frameworks: OpenCV, Caffe, Torch, Theano, neon,
libSVM, OpenBLAS, cuDNN.
Benchmarks: ImageNet, PASCAL VOC, Labeled Faces
in the Wild (LFW), YouTube Faces, Face Detection
Data Set and Benchmark (FDDB).
8/14

9. SaaS service
(from $ 0.005 for one type of recognition)
Fee for special training and supporting algorithms
Patents monetization
BUSINESS MODEL
recognizzit 9/14

10. MARKETING
recognizzit
partnership
Media publications
Demonstration apps
Internet Marketing
API aggregators
Direct sales
10/14

11. 2015 2016
June August October December February April
June 1
Start
August 15
Demo
August 1
Alpha
December 1
Public Beta
October
Private Beta
April
Fine tuning release
January 15
Release
ROAD MAP
11/14

12. Expert in artificial intelligence, computer
vision, neural networks areas. He is
Research Fellow at Institute of MMSP of
National Academy of Science of Ukraine.
Artem Chernodub
Head of Computer Vision team,
graduated from Moscow Institute
of Physics and Technology (MIPT)
Lead R&D Engineer, professional interests
are Deep Convolutional Neural Networks,
Face Alignment, Object Detection, Face
Recogniton, Machine Learning.
Yurii Pashchenko
Lead R&D Engineer,
graduated from NTUU “KPI”
(Faculty of Applied Mathematics)
Has a rich experience in creation and
support of various B2B projects in different
domains. Professional skills - Business
Development, Sales, Marketing.
Bogdan Yakovenko
Product manager,
graduated from KNUTD
8 years of experience
4 years of experience
10 years of experience
TEAM
12/14

13. First public appearance
Receive feedback
Talent search
Find mentors & advisors
Finding investments
PRESENTATION GOALS
recognizzit 13/14

14. Bogdan Yakovenko
team@recognizz.it
TRY DEMO NOW
twitter.com/imxotep42fb.com/imxotep42
www.recognizz.it