ROOLIFE GROUP LTD - Investor Presentation 2017

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ARTIFICIAL INTELLIGENCE

INVESTOR PRESENTATION September 2017

Australia | Singapore | South Africa | USA

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Disclaimer

Nature of this document: The purpose of this presentation is to provide general information about OpenDNA Limited (the ‘Company’). Unless otherwise stated herein, the information in this presentation is based on the Company’s own information and estimates. In attending this presentation or viewing this document you agree to be bound by the following terms and conditions.

Not an offer: This presentation is for information purposes only and does not constitute or form any part of any offer or invitation to sell or issue, or any solicitation of any offer to purchase or subscribe for, any securities in the Company in any jurisdiction. This presentation and its contents must not be distributed, transmitted or viewed by any person in any jurisdiction where the distribution, transmission or viewing of this document would be unlawful under the securities or other laws of that or any other jurisdiction.

Not financial product advice: This presentation does not take into account the individual investment objectives, financial situation and particular needs of each of the Company’s Shareholders. You may wish to seek independent financial and taxation advice before making any decision in respect of this presentation. Neither the Company nor any of its related bodies corporate is licensed to provide financial product advice in respect of the Company’s securities or any other financial products.

Forward-looking statements: Certain statements in the presentation are or may be “forward-looking statements” and represent the Company’s intentions, projections, expectations or beliefs concerning, among other things, future operating and exploration results or the Company’s future performance. These forward looking statements speak, and the presentation generally speaks, only at the date hereof. The projections, estimates and beliefs contained in such forward looking statements necessarily involve known and unknown risks and uncertainties, and are necessarily based on assumptions, which may cause the Company’s actual performance and results in future periods to differ materially from any express or implied estimates or projections.

Disclaimer: No representation or warranty, express or implied, is made by the Company that the material contained in this presentation will be achieved or prove to be correct. Except for statutory liability which cannot be excluded, each of the Company, its directors, officers, employees, advisers and agents expressly disclaims any responsibility for the accuracy, fairness, sufficiency or completeness of the material contained in this presentation, or any opinions or beliefs contained in this document, and excludes all liability whatsoever (including in negligence) for any loss or damage which may be suffered by any person as a consequence of any information in this presentation or any error or omission there from. The Company is under no obligation to update or keep current the information contained in this presentation or to correct any inaccuracy or omission which may become apparent, or to furnish any person with any further information. Any opinions expressed in the presentation are subject to change without notice.

Unverified information: This presentation may contain information (including information derived from publicly available sources) that has not been independently verified by the Company.

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O P N C O N F I D E N T I A L

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WHO IS OPENDNA?

ASX Listed in Nov 2016

Artificial Intelligence Business

Proprietary Artificial Intelligence and Machine Learning Software

FY17 - Building Out Year

FY18 - Implementation Year FY19 - Harvesting Year

CORPORATE SNAPSHOT

CORPORATE SNAPSHOT	CORPORATE SNAPSHOT
ASX Code OPN
ASX Code OPN
Listing Date Nov’ 2016
Cash (as at 30 June, 2017) A$ 3.8m
Market Cap (at $0.15 / share) A$15.8m
52 week high ($ / share) $0.20
52 week low ($ / share) $0.12
Shares on issue 105m
Options 18m
Performance Shares 35m

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O P N C O N F I D E N T I A L

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WHAT IS THE PRODUCT?

Automated psychographic profiling platform designed to enable businesses to better understand their individual users – The Single Customer View

Artificial Intelligence System using:

Machine Learning
Neural Networks
Natural Language Processing

Industry Agnostic

Seamless / Rapid / Cost-Effective to Implement

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BETTER, MORE POWERING
INTELLIGENT BUSINESSES
INSIGHTS
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EMPOWERING INDIVIDUALS

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CREATE MORE RELEVANT, TARGETED PERSONALIZED EXPERIENCES

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O P N C O N F I D E N T I A L

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PROBLEMS FACED BY BUSINESSES & USERS

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Targeting users with too many
options without any guidance
Declining User Engagement which
directly impacts revenues.
Internet is crowded
Unable to identify Individual users are
the single user
bombarded / swamped
We are still reliant on grouped /
with irrelevant content
aggregated user data to be able to
that has not been
determine what people are going to do
personalized in any way
to them
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O P N C O N F I D E N T I A L

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SOLUTION: AN AI POWERED ECOSYSTEM

What if a system could be built that truly knew you, truly understood you?
Knew you better than your current best recommendation system.. Your friends, family, colleagues
A system that would learn constantly and develop its algorithms specifically to you and not put you in a bucket or category of other users

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Connections
Time Weather
Location
Financial Status
Health
Interests
PEOPLE ARE NOT CATEGORIES.
Values
We hate to be considered as such.
We are all individuals with our tastes, likes, dislikes, interests.
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O P N C O N F I D E N T I A L

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OUR VISION

We will set the standard by which businesses use AI technology to enable a truly unique “Internet of Me” experience for their customers. By challenging the status quo, we aim to help industries change the way in which they think about people. People ARE Individuals. People ARE NOT Categories.

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COMPETITOR LANDSCAPE

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The Single Customer View is not their number one priority
User targeting done with traditional segmentation modelling, and it has its limits
You need to purchase the entire solution to gain value
Expensive, Time-Consuming and Resource Intensive to implement
New Privacy laws are putting companies under pressure to alter their methods of targeting and profiling customers
Google Fined Record $2.7 Billion in E.U. Antitrust Ruling

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O P N C O N F I D E N T I A L

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OPENDNA’S UNSURPASSED DATA INSIGHTS

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O P N C O N F I D E N T I A L

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SNAPSHOT OF A USER’S DATA

OpenDNA maps a user’s interests and learns about the extent of interest that they may have in any area. This is highly contextualized and relevant to that specific user.

PSYCHOGRAPHIC DATA

ANONYMOUS

[email protected] Male 29 Sydney, Australia

TIME-RELATED PATTERNS

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Anthony Hopkins 70 Action Figures 65 Entertainment 80 Brian Co 21 Donald Trump 90 Goodfellas 80 Golf 65 IMDB 45 Immigration 40 Los Angeles 30 Maise Williams 76 Martin Scorsese 65 Movies 21 PGA Tour 61 Podcasts 70 Propertywire 40 Science Fiction 70 Space Station 93 Toys 73

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O P N C O N F I D E N T I A L

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KEY MILESTONES

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REVENUE
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• Built business
development, technical
ASX
and operational teams
• Customer wins
• New Technology
Enhancements made and
• $1.5m Angel Funding
products developed
raised
• $8m ASX listing
• $1.3m Angel Funding completed
raised • Enhanced API
• Birth • API developed • SDK Developed
• Jottr Web Launched • Patents Filed
• Prototype Built
• Built the AIS for scale on
AWS
DEVELOPMENT BUILDING OUT IMPLEMENTATION
2014 2015 2016 2017
FUTURE
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O P N C O N F I D E N T I A L

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OPPORTUNITY & EXPANSION PLAN

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CONTENT ENTERTAINMENT PUBLISHING

E-COMMERCE

FINANCIAL SERVICES

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BUSINESS INTELLIGENCE & DATA ANALYTICS

TRAVEL & LEISURE

AD TECH

COMMUNICATIONS

According to Juniper Research, the global digital advertising industry was worth circa US$160 billion in 2016, and . expected to reach US$285 billion by 2020

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O P N C O N F I D E N T I A L

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DRIVING REVENUE

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USER LICENSE FEES
+
5 000 users $499
2.5M+ users $7k+
10M+ users $18k+
charged monthly
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OPENDNA CONNECTION CHARGES

Fee per user session

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$0.0045 / session
or
Revenue share
Reviewed on a case by case basis
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O P N C O N F I D E N T I A L

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FY2018 GROWTH PLANS

Build out the Business Development team in APAC & US

Customer acquisition in multiple verticals:

Publishing
Entertainment
Communications
E-Commerce

Technological capabilities expansion:

Prepare OpenDNA API’s & SDK’s for public release
Partner Systems Integration

File Additional AI Patents

Content Analysis & Contextualization
Decision Mechanics

Continue to invest in R&D, by growing the Machine Learning & Data Science team

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O P N C O N F I D E N T I A L

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BOARD & MANAGEMENT

Jay Shah – MD & Chief Executive Officer

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Jay is a technology visionary and the designer behind OpenDNA’s AI technology. He brings 20 years of serial entrepreneurship having founded numerous technology companies ranging from Content Management Systems, VoIP & Mobile Telephony as well as launching a technology incubator in the UK. and building world-class teams.

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Richard Jarvis - Chief Financial Officer

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Richard has twenty years’ experience gained both in public practice and in senior finance leadership roles, and has previously served as CFO for multiple dual listed businesses.

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Jason Loia – President of Global Operations & COO

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Jason is a veteran in the mobile apps business, having built one of the first mobile gaming studios in the U.S. back in 2001. After shipping close to 100 titles for publishers such as EA, Sega, Midway, Glu, and Disney. Jason is a recognized leader on launching, growing, and monetizing mobile apps and online communities. His last role was as COO for Gaia Interactive, a online gaming site. Jason holds a masters degree in engineering from Stanford and an MBA from Harvard. George Irwin – Chief Technology Officer George is systems architect, AI/machine learning and cloud computing specialist with 6 years’ experience in building market automation and customer review systems that include complex algorithms to undertake social media and big data analytics.

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Grant Pestell - Non-Executive Chairman

Grant is a founding director and managing partner of OpenDNA’s lawyers Murcia Pestell Hillard. He has 20 years’ experience in commercial litigation and corporate and commercial law and has been Managing Director of Murcia Pestell Hilliard for 17 years. He has industry expertise in information and communications technology, energy, resources and construction.

Evan Cross – Non-Executive Director

Evan has been a member of the Institute of Chartered Accountants for over 30 years, and is a fellow of the Australian Institute of Company Directors. Evan has extensive corporate finance experience in investment banking both in Australia and the US and has held key finance or executive director roles in a number of private and ASX-listed companies.

Lonnie Sciambi – Non-Executive Director

A former investment banker with 30+ years’ experience with technology-based businesses, as an entrepreneur, turnaround manager, advisor and investor. Experienced senior executive and advisor to over a hundred companies at various stages of development, involved in raising more than $350 million in capital and more than three dozen M&A transactions.

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O P N C O N F I D E N T I A L

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APPENDIX

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WHAT IS OPENDNA?

To businesses , OpenDNA provides real-time insights into their individual customers’ behaviour which allows them to better predict their needs.

This enables businesses to deliver a more relevant customer at an experience individual level, which drives increased revenue.

OpenDNA’s artificial intelligence and machine-learning system automatically creates detailed psychographic user profiles, which helps deliver better business outcomes.

To individuals it the to own their data and control their paves way experiences across the internet making it more relevant; more personalized.

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BETTER, MORE DRIVING INDIVIDUALLY MORE RELEVANT INTELLIGENT INCREASED TARGETED PERSONALIZED INSIGHTS REVENUE ENGAGEMENT EXPERIENCES

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O P N C O N F I D E N T I A L

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OPENDNA TIMELINE

2014

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OpenDNA AIS invented
OpenDNA Prediction Engine developed
Jottr - AI powered news aggregator built and launched
Phenomenal results achieved:
- Av. Time spent by BETA users: 14mins
- Av. Number of pages read per user: 18
- Number of summaries viewed per session: 100+

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Jottr launches on iOS
OpenDNA API developed
• Jottr Elect launches on iOS
Jottr Elect featured 4 times by Apple (registered symbol)

2015

Amazon Web Services awards OpenDNA with $120,000 credits
OpenDNA deployed on large server clusters. Built for mass growth
• Raised $1M in Angel Funding
Filed Provisional Patents in the US

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2016
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ASX
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OpenDNA API enhanced for easier deployment
OpenDNA SDK built for iOS and Android
Launched iOS and Android app templates
Final patents filed in US and PCT for worldwide cover
Launched the Channel Partner Program
Successful Listing on ASX in Nov’16. Raised $8M
Voted as "The Company Most Likely To Grow Exponentially" at an AWS event in San Francisco in Oct’15

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2017
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Built up sales, development (machine learning & data scientists) and operational teams.
Integrated Facebook Ad Network into OpenDNA systems
Signed up Endeavour Drinks (part of Woolworths)
Signed & Integrated OpenDNA AIS into Looker, Silicon Valley’s fastest growing Business Intelligence & Data Analytics company
Signed up an Android Manufacturer to start integrating OpenDNA into the devices
Developed Data Connectors and Adaptors for easier integration by 3rd parties
• Invented and launched IRIS a neural network web extraction tool
Built Synapse, a data visualization tool to view psychographics and behavioral maps
• Awarded One of the top 200 “Business of Tomorrow” by WestPac Bank

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O P N C O N F I D E N T I A L

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WHAT ARE THE OPENDNA BENEFITS?

HOW DOES IT BENEFIT BUSINESSES?

BETTER INSIGHTS

By building real-time user’s psychographic profiles businesses are able to better predict customer’s needs and interests.

INCREASED REVENUE

Providing relevant content, increases user engagement and dwell time which in turn increases the amount of revenue opportunities per user.

INCREASED RETENTION

Customers are more likely to engage and return due to the relevant content, and the customer experience.

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HOW DOES IT BENEFIT THE USER?

The overall online and mobile experience is improved, with relevant content (products, news, ads, videos, etc.) being delivered to the user. OpenDNA also helps stop irrelevant content from being sent to the user as it gets to know and understand the user.

End-users now have the opportunity to own, see and control their data, which in turn allows them to edit their interests in real-time so they are able to influence what they receive online.

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O P N C O N F I D E N T I A L

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MARKET DEMAND FOR PERSONALISATION

Over 1.5M+ available on Android® and apps Apple®, Amazon Appstore®, and over 40,000+ apps launch on a monthly basis with no context of their user’s preferences for proper on-boarding.

Personalization can deliver five to eight times the ROI on marketing spend and lift sales 10% or more. Source: McKinsey & Company

94% of companies agree that personalization“is critical to current and future success.” Source: Econsultancy

In 2018, B2B companies who personalize their sites will be doing 30% better than those without personalization. Source: Gartner

Organizations who are personalizing their web experiences see, on average, a 19% uplift in sales. Source: Monetate

Forty percent (40%) of consumers buy more from retailers who personalize the shopping experience across channels. Source: MyBuys

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O P N C O N F I D E N T I A L

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HOW DOES PERSONALIZATION WORK?

Personalization revolves around capturing the contextual situation of users and allowing services to predict and respond to needs, often without users having to request them explicitly.

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5
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SYSTEM REACTS & ITERATES, BASED ON USER REACTION

Based on the user’s reaction, the system provides information or functionality, logs trigger conditions and data for the contextual database and adjusts the predictive intent model another iteration.

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ACCUMULATES CONTEXTUAL & HISTORIC DATA

Identity Location Time Activity Historic Data

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2
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PROCESSES INFORMATION

A predictive model sifts, correlates and augments data drawn from contextual & historic data

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3
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ENGAGES USER

Device / interface engages the user in conversation

DETERMINES BEST NEXT STEPS

The model generates best next steps for the user

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O P N C O N F I D E N T I A L

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HOW DOES THE TECHNOLOGY WORK?

SEAMLESS & RAPID INTEGRATION

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When a user uses an OpenDNApowered platform (Web or Mobile) the Artificial Intelligence System (AIS) analyzes their interactions in real-time and builds a detailed psychographic profile that’s updated and deepened with each ensuing use.

OpenDNA’s AIS in real-time analyses a business data stream (products, news, ads, videos etc.) and builds a unique contextual profile.

OpenDNA in real-time provides the user with relevant content automatically tailored to the user’s profile from the business (products, news, ads, videos, etc.) that drives better business outcomes.

Users have complete control and transparency of data on their interests, allowing them to edit them and influence their personalized experiences in realtime.

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O P N C O N F I D E N T I A L

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VIDEO STREAMING USECASE

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USER : MICHAEL SMITH, 29

USER VIDEO ACTIONS

The videos watched by the user in our data set. The actions taken by the user for which we had data on the related videos (-75%)

01/03/17 05/07/17 03/03 03/03 03/03 03/03 03/03 03/03 03/03 03/03 03/03 TELEVISION (490) Cumulative User Interest: 10 000 SONGS (1393) Cumulative User Interest: 3 234 MOVIES (924) Cumulative User Interest: 1 292 UNKNOWN (160) Cumulative User Interest: 813 HUMOR (9) Cumulative User Interest: 30 ENTERTAINMENT (4) Cumulative User Interest: 28

RECOMMENDATION HIT RATE: 58.00%

The recommendation statistics are based on the static data set to which OpenDNA had access. These

recommendations were not presented to users, so the realtime feedback loop which would be present in a real-world environment was not active. This limitation has a negative impact on the recommendation statistics.

Television 70 68% Songs 65 85% Movies 80 23% Unknown 21 99% Humor 90 84% Entertainment 80 67% Golf 65 57% IMDB 45 55% Immigration 40 44% Sydney 30 78% Lynne Watson 76 68% Martin Scorsese 65 85% Movies 21 23% PGA Tour 61 99% Podcasts 70 84% Propertywire 40 67% Science Fiction 70 57% Space Station 93 55% Toys 73 44% Propertywire 40 78% Science Fiction 70 69% Keith Urban 93 30% Toys 73 70%

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O P N C O N F I D E N T I A L

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DRIVING REVENUE

HOW PUBLISHERS CAN BENEFIT FROM OPENDNA

	Without OpenDNA	With OpenDNA	Without OpenDNA	With OpenDNA
Number of Users	1,000,000	1,000,000	5,000,000	5,000,000
Monthly Active Users	350,000	400,000	1,750,000	2,000,000
Average Number of Pages Viewed Per User Per Day	2	6	2	6
Average Revenue Per Thousand Ad *Impressions (Ad Impression = Each Time Ad is displayed)**	$2.50	$2.50	$2.50	$2.50
Publisher Revenues Per Month	$7,875	$27,000	$39,375	$135,000

*The above figures are an example of what ad networks could pay out to publishers. The prices can range from $0.10 to $50 per thousand impressions.

REVENUES AVAILABLE TO OPENDNA

REVENUES AVAILABLE TO OPENDNA
	With OpenDNA	With OpenDNA
Number of Users	1,000,000	5,000,000
OpenDNA User License Fee*	$4,319	$11,499
Total Pages Viewed	6,000,000	30,000,000
Avg. OpenDNA Page View Charges (Based on Session Charges)*	$7,000	$30,000
OpenDNA Share of Ad Revenue (minimum 5% of publisher revenue)*	$6,750	$6,750
TOTAL REVENUE PER MONTH FOR OPENDNA*	$12,669	$48,249
TOTAL REVENUE PER YEAR FOR OPENDNA*	$152,028	$578,988

Publishers generate revenue through advertising and in some instances via product placements.

The key drivers for revenue for publishers is page views (i.e. the number of of content read pages by their users).

The higher the page views numbers the more revenue that they can make.

Secondly, by knowing more about their readers and being able to access their can psychographic profiles, publishers demand higher revenue shares from ad networks as they can better target the customers.

OpenDNA provides publishers the key to unlocking higher engagement time and increased revenue.

*The above figures are an example of what can happen when customers power their systems with OpenDNA and also allow OpenDNA to run the ads on their network.

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O P N C O N F I D E N T I A L

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PEOPLE ARE NOT CATEGORIES PEOPLE ARE INDIVIDUALS

opendna.ai

e: [email protected] | m: +65 8164 3912 | w: +65 3159 1381

Australia | Singapore | South Africa | USA

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AI assistant

ROOLIFE GROUP LTD — Investor Presentation 2017

65712_rns_2017-09-03_f102a430-9de3-4ca2-864c-8279ccaa01ab.pdf

ARTIFICIAL INTELLIGENCE

Disclaimer

WHO IS OPENDNA?

ASX Listed in Nov 2016

CORPORATE SNAPSHOT

WHAT IS THE PRODUCT?

Artificial Intelligence System using:

Industry Agnostic

Seamless / Rapid / Cost-Effective to Implement

PROBLEMS FACED BY BUSINESSES & USERS

SOLUTION: AN AI POWERED ECOSYSTEM

OUR VISION

COMPETITOR LANDSCAPE

OPENDNA’S UNSURPASSED DATA INSIGHTS

SNAPSHOT OF A USER’S DATA

PSYCHOGRAPHIC DATA

TIME-RELATED PATTERNS

KEY MILESTONES

OPPORTUNITY & EXPANSION PLAN

FINANCIAL SERVICES

DRIVING REVENUE

OPENDNA CONNECTION CHARGES

FY2018 GROWTH PLANS

Build out the Business Development team in APAC & US

Customer acquisition in multiple verticals:

Technological capabilities expansion:

File Additional AI Patents

BOARD & MANAGEMENT

Jay Shah – MD & Chief Executive Officer

Richard Jarvis - Chief Financial Officer

Jason Loia – President of Global Operations & COO

Grant Pestell - Non-Executive Chairman

Evan Cross – Non-Executive Director

Lonnie Sciambi – Non-Executive Director

APPENDIX

APPENDIX

WHAT IS OPENDNA?

OPENDNA TIMELINE

2014

WHAT ARE THE OPENDNA BENEFITS?

HOW DOES IT BENEFIT BUSINESSES?

BETTER INSIGHTS

INCREASED REVENUE

INCREASED RETENTION

HOW DOES IT BENEFIT THE USER?

MARKET DEMAND FOR PERSONALISATION

HOW DOES PERSONALIZATION WORK?

SYSTEM REACTS & ITERATES, BASED ON USER REACTION

ACCUMULATES CONTEXTUAL & HISTORIC DATA

PROCESSES INFORMATION

ENGAGES USER

DETERMINES BEST NEXT STEPS

HOW DOES THE TECHNOLOGY WORK?

SEAMLESS & RAPID INTEGRATION

VIDEO STREAMING USECASE

USER : MICHAEL SMITH, 29

USER VIDEO ACTIONS

RECOMMENDATION HIT RATE: 58.00%

DRIVING REVENUE

HOW PUBLISHERS CAN BENEFIT FROM OPENDNA

REVENUES AVAILABLE TO OPENDNA

PEOPLE ARE NOT CATEGORIES PEOPLE ARE INDIVIDUALS

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ROOLIFE GROUP LTD Investor Presentation 2017