Transcript Iken

MOOGA Presentation
www.ikensolutions.com
An IIT Bombay research spin-off
PLATFORM
(a Web3.0 AI Platform for N=1 User Experience)
Personalization, Recommendation, Discovery and Marketing
Current Scenario – User Perspective
Everybody gets the same content
September 2009
Current Scenario–Content Perspective
NEW
Beyonce
Song
6 Months later
Beyonce
Song
1 Year later
Beyonce Song
No longer “hottest” = No longer relevant/profitable
Static limited offer placement
September 2009
The Opportunity
•
Most digital businesses have "limited shelf
space”, and are unable to optimize their
offering to take advantage of the “long tail
phenomena”
•
Some numbers: (2 – 5%)
•
Global VAS market will grow to 77B
USD by 2013
•
Digital Music Market (web + mobile):
39B USD by 2013
•
E-commerce Market 700B USD by
2011
•
Global Mobile Advertising Market is
expected to reach 19B USD by 2011
•
A significant portion of those revenues
is in the “long tail”
September 2009
The new wave
September 2009
What is Mooga?
•
A state-of-the-art Personalization and Recommendation framework based
on Hybrid Artificial Intelligence techniques
•
P&R works in real-time and has self-learning capabilities
•
P&R is completely programmable, configurable and customizable based on
products, contents and required functionality.
•
Search is knowing what you want; Discovery is finding things you didn’t
even know you wanted
September 2009
Mooga Scenario - User Perspective
Dynamic personalized one to one offer
September 2009
Mooga Experience
September 2009
Mooga Platform
September 2009
Revenue Structures
• One-time
• Set-up Fee + AMC
• License
• Transactional
• Per User
• Flat
September 2009
Current Status
September 2009
Management Team
Siddharth Goel - CEO
• Co-Founder of Cellent Technologies and Co-Start Enterprise
• BCE, University of Michigan
Dr. Rajendra Sonar - CTO
• Associate Professor, IIT Bombay, SOM
• Ph.D. in AI from Pune University
Aditya Goel - General Manager, Indian Sub-continent
• BBA, Purdue University
September 2009
Management Team
Dr. Antonio Peña - General Manager, Americas
• Founder of Novacash and Itegra. Sold in USD 21 MM in 2001.
Dr. Francisco Okecki - General Manager Brazil & VP Alliances
• Founder of Amarata.com (sold in USD 18 million to PSINet in
early 2001); Director at Itegra.
Jose Ugarte - VP, Commercial
• Ex-head of VAS and Marketing, Telefonica Movistar
Mario Zorz - VP, Operations
• Head of Operations , Net People ; System Analyst at
Telefonica Movistar
September 2009
Market Traction
September 2009
Recognitions
•
iKen Solutions is a NASSCOM Innovation
Awards 2008 Finalist
•
iKen Solutions selected by Microsoft to
participate in Le Web ´08 as one of the Top
10 innovative startups in the world.
•
iken
Solutions
won
the
Tie-Canaan
Entrepreneurial Challenge 2008.
•
Mooga
won
Technology
Silver
Award
Innovation”
at
for
the
“Best
Mobile
Content Awards 2008.
September 2009
Vision is alive!
•
Technology already developed and commercialized in multiple regions for
multiple verticals (TV, online and mobile)
•
~200,000 USD confirmed through existing contracts/customers for the
coming year
•
2 Market focus (Latin America and Indian-subcontinent)
September 2009
Investment Opportunity
September 2009
Investment Opportunity
•
Core IP based product based on Artificial Intelligence
•
Highly scalable business potential
•
Personalization & Recommendation technology trend is moving from “great
to have” to “need to have”
•
Projected revenues of 20+ MM USD in 2012 - 2013
•
Looking to raise $$
•
Expansion of commercial teams
•
Expansion of delivery and operational team
•
Product development
September 2009
Beyond the tip of the iceberg
Annexure
Competition
Our Approach, their Approach
iKen Studio
Other AI Tools
Hybrid AI approach
Concentrate on single AI technique
Agile, Adaptive, on-the-fly,
configurable , programmable
and proactive intelligence
Analytics (using data mining
techniques) are mostly reactive
Same framework used for analysis,
configuration, implementation
and deployment
Implementation of analytics in
operational systems is always an issue
Customizations done to address
various application categories
Focus is only implementing core
AI techniques
September 2009
Competitor Comparison (mooga.mobi)
Features
Changing
Xiam
Worlds
July
Systems
Infogin
Yahoo One
Search
Mooga
Personalization
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Recommendations
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Search
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Modeling of Long Tail
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Multi-storefront approach
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Intelligent Advertisments
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September 2009
Threats
•
Core AI technology
– Exsys
– Vanguard
– iLog
•
Personalization &
•
Personalization &
Recommendation & Search
Recommendation & Search
(Mobile)
(eCommerce)
– Changing Worlds
– Aggregate Knowledge
– Xiam Technologies
– ATG (CleverSet)
– July Systems
– MineKey
– Infogin
– Certona
– Yahoo One Search
– xPlusOne/
September 2009