First presentaton of our startup - April, 2016 at Kyiv Startup Crash Test

1. Right Image R&D
AI that maximizes CTR
of your marketing visuals
April 2016

2. 1. Problem: slow A/B testing
Context: suboptimal marketing content leads to lost sales
+41%
-51%

3. Our successful manual A/B testing case:
6x increase, lasting impact
Mobile Game. Genre: Strategy.
Start of app store page optimization
Monthly installs by device
+480%
Lasting impact achieved:
5-6x average monthly installs lift

4. 2. Solution: instant image ranking
Applications:
o Mobile app icon & screenshots
o Ad banners etc.

5. 3. Market: mobile app promotion
o Mobile app market:
–$40 billion / year
–5-year CAGR: 20%
–Mobile app promotion market (est.): $4-8B
o Concentrated:
–85% of revenue comes from games
–2% of app developers claim 54% of all app revenues
Source: App Annie Report: http://files.appannie.com.s3.amazonaws.com/reports/App-Annie-02-2016-Forecast-EN.pdf?aliId=80125619
http://www.techrepublic.com/article/mobile-developers-should-spend-less-time-on-development-more-on-marketing/

6. 4. Competition
o Self-serve A/B testing platforms
o A/B testing platforms that provide clickers
o RightImage R&D competitive advantage:
–Automation, enabled by AI
–Quick results at low cost

7. 5. How it works: learn from SM images

8. Apply analysis to marketing visuals

9. Usage-based, to be decided:
● Charging for every target action
we’ve added
● Charging for volume of tested
pictures
6. Business Model

10. 7. Marketing
o Direct sales to massive app owners
o SEO & landing page (planned)
o Affiliated marketing agencies

11. 8. Roadmap
Now: 1 served customer
July 2016: 5-10 manually served customers
July 2016: AI proof of concept
Sep 2016: first customer served with AI

12. 9. Team
Michael Rybak
Strategy, R&D
Interests
● Human perception & behavior
● Algorithms & optimization
Experience
● 3 years as an R&D team lead
● 12 years as research engineer
● 2 years as a project manager
● 2 years as CEO & Coach of a
soft skills trainings startup
Education
● 3 postgraduate programs in
management & leadership
● Red at TopCoder
● Bronze medal at ACM’2003
● Bronze medal at IOI’2001
● M. Sc. in Computer Science,
Kyiv Shevchenko Univ ’2007
Mykola Komarevskyy
Strategy,
Business Development
Denis Troyanov
R&D
Interests
● Deep learning & computer
vision, neuroscience & AI
Experience
● Video stream analysis
○ fire-detection system
○ for warehouse safety
○ commercially applied
● Computer vision for
audience analysis:
○ 20%+ precision raise
of face-processing
technology core of a
running business
Education
● Computer vision school
● B.Sc. in Computer Science
Interests
● Technology in business and
society, machine learning
Experience
● 7+ years of leadership in
software (cofounder, business
development, CTO, product)
● 2+ years at McKinsey & Co.,
Business Technology
Education
● MBA, Thunderbird School of
Global Management, USA
● B.Sc. in Computer Science,
Shevchenko University of Kyiv
● Coursera courses: Machine
Learning, Big Data, IoT

13. Your feedback & ideas
● Ecosystem
○ Products?
○ Technologies?
○ Other applications & markets
of image sentiment ranking?
● Partnership
○ Interested to become our beta client?
○ Interested to become a partner (marketing agency)?
○ Know someone who could be interested?
● Team
○ Known ML specialists?

14. Thank you!
michael.rybak@gmail.com
fb.com/mrybak.ua