1. Our mission:
Build a Strong Artificial Intelligence
re-creating Human Intelligence in all
© 2016 CyberMind Technology, Inc.
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We create Strong AI (also known as Artificial General Intelligence). The AI that could
successfully perform any intellectual task that a human being can.
What we do
OUR TECHNOLOGY - UNIVERSAL INTELLIGENCE
• Communication based on natural language without any limits,
incl. context
• Understanding any content, incl. fiction and professional texts
• Psychologically perfect matching for a user, incl. ability to
teach at professional level
• Ability to re-create a real person, for example, Steve Jobs, Kim
Kardashian, Justin Bieber,, etc.
Not our technology:
• Imitation of
Intelligence
• Chat-bots
• Narrow solution, as
software for “Go”
game
OUR PRODUCTS - UNIVERSAL INTELLECTUAL ACTIVITY
• Any communications and assistance, incl. Personal
assistant, online assistant, call centers assistant, etc.
• Software developing through AI
• Engineering application through AI

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How we do
CONCEPT
We completely duplicate human mentality, structure and processes., i.e. the way a person thinks,
what concepts he/she operates, the processes as the grounds for a person to make conclusions
and to learn something new. As well we duplicate needs and emotions. We use our inventions,
results of experiments and research we have been conducting from 2008.
SOFTWARE
AI is implemented by the software in the form of a semantic network, with its nods being
concepts, while connections between them reflect the specifics of inter-relations among these
concepts.
ARCHITECTURE
The technology architecture contains the three clusters of database operations: the algorithms of
forming new concepts and connections (using both text and/or dialog data), algorithms of
obtaining responses to questions, and algorithms of database optimization. Plus a few separate
clusters of algorithms for the auxiliary processes: speech to text processing conversion (and vice
versa), algorithms of conversion of content videos to the database conceptual framework of the
database, and motion behavior control algorithms.

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Market
The shortage of software developers
in Europe, USA and Canada will
create a market for Software
developing application through AI of
more than $ 30 B by 2019.
TECHNOLOGY MARKET
The robots and AI solutions market will grow to $ 153 B by 2020 including $ 83 B for
robots, and $ 70 B for AI-based analytics (source: Bank of America Merrill Lynch). Our
technology will be used in both segments.
PRODTUCTS MARKET
The Digital assistants
market will grow form
$ 585 M in 2014 to $
8,1 B by 2024 (source:
BCC research).
The Expert systems
market will grow form
$ 3,5 B in 2014 to $
12,4 B by 2024
(source: BCC research).

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Competition & Differentiation
Potential competitors
IBM, Apple, Google, Facebook
But they have not even announced
fully functional AI technology.
Now they just manage to get chat-
bot that hates feminists, or
application-specific solutions,
which can play Go, but cannot read
textbook and learn something.
Why we are the leader
A basis of our technology is general-
purpose intelligence, capable to
understand human, as a person can
understand another one. The conclusions
of this intelligence will be understood by
human.
Due to ability for general-purpose
intellectual activity, our solution will be the
most in-demand at B2B & B2C markets.

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А) Developing of products based on the technology platform.
B) SaaS on vendors’ access to the AI platform.
We will create ecosystem of product developers around our technological
platform. As a result, the products with our technology will be the first at the
market, and we will involve a lot of companies and ideas to promote and
develop our platform.
Business Model / Strategy

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Fundraising
Feb 2014, pre-seed
Revenue in 2014-2015
Technology architecture
Algorithms of the basic functions
Verification of solutions
Now, seed-round
Extension of team
AI training
Completion of works on creation the functional
AI Prototype
Next step - round A
Creation of the full functional AI technology
Personal assistant based on AI
Software developing application through AI
Engineering application through AI

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What we have done
we managed to enhance the search relevance figure for 16%
the forecast precision of the user's emotions onto the yet
non-read news content was 82%
we managed to reduce the CPC ratio 8.5 times
We have verified the developed solutions
Basic technical solutions
Human mentality basic architecture realization
Algorithms reflecting basic level of cognitive processes, emotional behavior
Architecture of Memory structures
Algorithms reflecting basic level of need and drive system functioning
Age-based individual memory infilling process and its description in database terms
Algorithms reflecting basic level of learning process

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What we do now
Integration into the single system
Developed algorithms, database and particular algorithms clusters
Stages of training AI
The first - uploading data into AI which a human is receiving during preverbal phase of
growth. The second - AI reading texts for children aged 7 and to communicate with
experts providing training
Further stages will include teaching AI to be an individual and to express emotions.
The first fully functional AI prototype with intelligence level equal to a child aged 5-7
Up to June 2016, we plan to develop AI and we assume that AI will be the first to pass IQ-
test of Wechsler Preschool and Primary Scale of Intelligence and Winograd Schema
Challenge.
• IQ level corresponds to a pupil aged 5-7
• Basic knowledge about world
• “Reading” simple texts, i.e. ability to assimilate and use information
• Ability to answer simple questions

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2017 Completion of work on Strong AI technology development.
Development Personal assistant based on AI
• Communication based on natural language without any limits, incl. context
• Understanding any content, incl. fiction and professional texts
• Psychologically perfect matching for a user, incl. ability to teach at professional level
• Ability to re-create a real person, for example, Steve Jobs, Kim Kardashian etc.
2018 Development Software developing application through AI
• Understanding tasks stated via natural language
• Coding according to tasks
• Interaction with other software to increase or to change functions
Development Engineering application through AI
• Combination of interaction with experts via natural language and processing of big
volumes of formal data
What we will do in the near future

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The core of our team is formed by highly-qualified psychologists and psychoanalysts (incl.
Prof., PhDs), mathematicians and linguists. All our team comprises 15 experts from Ukraine,
Canada, and Germany.
Team
Roman Orekhov, CEO - serial entrepreneur/executive, 15+ years' experience from
startups to 600+ employees and FDA approved products, implementing the
projects with wide range of partners incl. global companies such as Samsung.
Alexander Holovan, CTO - 12+ years' experience in implementing of the projects at the
intersection of psychology and IT, Master's degree, Psychology, Senior Lecturer,
member of Ukrainian Umbrella Association of Psychotherapy (European
Association for Psychotherapy member).
Maryna Svitasheva, Technical Lead - PhD, Registered Psychotherapist of College
of Registered Psychotherapists of Ontario, author of 5 scientific papers.
Sergiy Svitashev, Technical Lead - PhD, Registered Psychotherapist of College of
Registered Psychotherapists of Ontario, author of 21 scientific papers and author
of the book "Psychotherapy And Cognition".

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We are building the Next Big Thing. Welcome.
Roman Orekhov, CEO
roman.orekhov@cybermind.technology
www.cybermind.technology