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1000 ETH
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15 June 2018 — 15 July 2018Pre-ICO target is 1 000 ETH
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50%

A solution for the Most growing 
and Unmonetized Market

1200 peta-bytes

of video data from cameras die unused in everyday in the world

This data is a new oil, that needs to be refined to serve a mankind as a valuable asset that can be used as fuel and training content for a global ecosystem of deep machine learning for the cameras. This hidden part of video surveillance market estimates 1.3 trln $ that is 10s times bigger than visible one.

ORWELLGLOBAL will unlock the commercial and social potential of the hidden part of the market, by refining of the “new oil” into high demanded products, a computer vision capabilities (CVC) based on neural networks. It will brings AI to the cameras around the Globe, turning them into smart and cheap devices capable of detecting dangerous situations and objects to save lives.

Millions cameras

will achieve CVC benefits,  avoiding  to use expensive software from corporations

All contributors like cameras owners, smartphone users (taggers), token holders and 3d party developers will gain profit from every CVC lunched in use and royalty from ever learning and growing Orwell’s intellect

Solving Problems

95% of world video surveillance is useless

There are 860 million video surveillance cameras installed all over the world. Almost all of them are used only for recording video – real-time processing is rare and is usually done by human operators, watching these video streams.

Only 5% оf
potential used

Computer Vision can save lives but it is still an unaffordable luxury for mass market

Premium nature of computer vision, due to a small number of players, who work only in the B2B sector at unreasonably high prices. Small developers cannot gain access to sales channels. ORWELLGLOBAL will drastically decrease these prices in order to take computer vision to mass market, just as the AppStore did with utilities and apps.

Mass market

for computer vision

Computer Vision can save lives but it is still an unaffordable luxury for mass market

Traditional computer vision is not effective, because it significantly influenced by specific local interference. Many manufacturers ignore these, which leads to drastic consequences – missed incidents, tragedies, or false alarms, requiring valuable human resources for processing

Popular approach of creating smart video surveillance by only improving cameras/servers/FOG computing power is a thing of the past, as it does not solve the issues of detection accuracy and of scalability.

Too much
false alarms
No alert

detection
Power is not

effectiveness

Convolutional neural networks is the most promising technology of high-quality and local-interference-adaptive computer vision, however, in order to make it scalable a mass-training method must be implemented.

ORWELLGLOBAL will be the first ecosystem focusing on the training of millions neural networks for video analytics. Blockchain technologies will ensure secure and confidential data transfer.

Use Cases

Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

#child
#drows
#alone
Household video surveillance:
  • Child safety through identification of dangerous events: child alone by the pool, child playing with a lawnmower unsupervised, child leaving the house alone
  • Pet safety: recognition of safe-zone violation
  • Identification of fire/smoke: identification and notifications, including alerting the emergency services
  • Trespassing/unauthorized access to the household/site: face recognition and notifications
  • Integration with smart objects: opening pet flaps, opening boom barriers for a car with authorised
number plate
#moto
#cycle
#speed
Smart city:
  • Crime prevention and control: identification of criminal acts and controlling offender movement
  • Controlling civil order at public events: identification of dangerous vehicle movement and provocative acts
  • Terrorist attack prevention: identification of unattended belongings and people carrying weapons
  • Identification of traffic offences: speed limits, violation of road markings, dangerous driving
#shop
#crowd
#man
Business:
  • Security perimeters: trespassing, throwing objects over fences, property abuse
  • Retail analytics: number of customers in different sections of the shop and their socio-demographic characteristics

About us

Senesys is 18 years experienced
American-Israeli Technological Leader

in software, neural networks,  processors for multispectral computer vision, complex security systems, intelligent transportation systems and business intelligence systems for retail.

Learn more at SENESYS.COM

ORWELLGLOBAL is the next generation of our proven word-wide used product,

an AI ORWELL security platform with hundreds of neural networks trained to detect millions of dangerous situations in real time. The platform boasts thousands of installations all over the world. It provides safety and security as a part of smart city systems, power industry facilities, major airports, Olympic facilities and shopping networks, and other major infrastructure objects.

SENESYS (US), at glance
$80 mln
raised from VC
Over $20 mln
revenue
1000s
of installations
100s
of top tier clients

Our clients

Our products

The whole range of hardware and software products and solutions focused on computer vision for security market, Smart Cities, Transport Infrastructure,
smart video surveillance. Our 150 people R&D force holds all competences and technologies in-house – form computer vision processors design, AI and user software, Hardware manufacturing to scalable city-scale solutions.

Our presence

The need to create ORWELLGLOBAL is the fruit of the company’s evolution. It arose from the needs of our clients, labour intensity of training neural networks in-house, and as a logical next step after creating the third cloud-based version of our ORWELL 2k product.

We believe that ORWELLGLOBAL bring Ai in every house by turning of AI into an easy-to-use tool for everyone, as easy and handy as getting an app from the AppStore.

ORWELLGLOBAL will turn video surveillance systems into effective tools for warning against and detection of incidents, and into business-analysis instruments. This will enable us, as the technological leader in the sphere, to meet the needs for security and Big Data analysis of hundreds of millions of users worldwide.

Triple Win Business Model

Мы придумали систему такой, чтобы участие каждого участника оплачивалось. Разделение прибыли между всеми участниками приведет к естественному и революционному росту проекта, поскольку в этом будет заинтересован каждый.

Token Functions

TOKEN
HOLDERS

Fuel

The fuel of the system, currency for all the  internal transactions

RIGHT TO PERSISTENT ROYALTY

Royalty to be paid for taggers, miners and system's clients, if a Computer Vision Capability created by them is used by other clients in the future.

UNIT OF IP RIGHTS CAPITALIZATION

The intelligence of the system will constantly increase with the accumulation of Computer Vision Capabilities. At the same time the need for and cost of training will be decreasing, hence the cost of token will increase due to the increase in business marginality with a non-increasing number of tokens.

REWARD

Rewarding taggers and miners for creating new Computer Vision Capabilities

Four ways to earn AXON

Providing content by request
Tagging content
Checking content
Providing resources

Token value and royalty grow as IP rights & revenue do

The base value of issued tokens equals the value of the existing ORWELL platform, which exceeds $20 million. Further increase in token value will be determined by:

  • the accumulation of ORWELLGLOBAL intelligence,
  • revenue and royalties per token/token holder.

The increase in revenue will add to the aggregate monetary stock, while the increase in the intelligence of the system will lead to a decrease in the cost of training, at the same time the number of token holders will decrease due to the buy-back program.

Buy-Back
Decreasing of number of tokenholders due to buy-back
Revenue
Growth in revenue
due to massive scale,
easy-to-use and affordablility
Royalties
Growth in system’s intelligence and decrease cost
of learning
Financial factors of growth
Factors Influencing Token Value

Persistent buy-back for the token holders

decrease the number of the token holder and increase value per token

Token Sale

AXON token cost 1 AXS = 0.001 ETH or equivalent

Target AXS token
sale amount

Softcap

30,000 ETH

or equivalent
Hardcap

60,000 ETH

or equivalent

140,000,000 AXS

Maximum number of AXS tokens

70,000,000 AXS

AXS tokens available for sale

ERC-20

Standard
Accepted cryptocurrencies
Ethereum (ETH), Bitcoin (BTC), Bitcoin Cash (BCH), fiat money
Token Sale Dates
Jun 1st – Jul 31st, 2018
Private presale Discount up to 40%
Aug 1st — Aug 31st, 2018
Whitelist formation
Sept 1st — Sept 30th, 2018
Public sale
50%
Capabilities and hardware acquisition
25%
Product Development
10%
Marketing
10%
Basic non-production admin costs
4%
Marketing: accelerated growth
1%
Additional non-production admin costs

Roadmap

Evolution of Revolution
2000
Senesys Inc. foundation
2002
Foundation of R&D center in Israel, first installations in Ben Gurion international airport and London underground
2011
End-user devices developed: radars, thermal cameras and video cameras
2012
$80 million raised from VC
Unique computer vision algorithms database, extensive experience in neural networks training
2014
Video surveillance and security system installed and working in 5 smart cities, 10+ airports, Olympic infrastructure, 17 hydroelectric power plants, 10 factories, 200+ shops
2016
Pilot AI projects with Motorola and DP
Q4 2017
MVP of cloud version of ORWELLGLOBAL
AI developed
Q2 2018
MVP of mobile app for tagging developed
Q1 2019
All ORWELL Computer vision algoritms unified for ORWELLGLOBAL platform
Q2 2019
First release of ORWELLGLOBAL platform (AI, IT platform and protocols) and testing on limited number of clients (“friends and family testing”)
Q4 2019
2 million generated neural networks by ORWELLGLOBAL platform
Q2 2020
ORWELLGLOBAL becomes marketplace for other types of AI providers (global AI store)
2023
Revenue of ORWELLGLOBAL is more than $30 B

In 2019 ORWELLGLOBAL plans to become the leading AI platform by the number of trained neural networks for computer vision tasks.

After 2019 the service is planned to be improved to include other types of neural networks training. Acquiring niche developers will facilitate this.

Use of Proceeds

The minimal amount of investements needed for ORWELLGLOBAL development (soft cap) is $1.425 M. All above money will help to boost development of AI capabilities and acquisition of new clients with hard cap $19.99 M (maximum organic growth).

2018
2019
2020
2021
2022
2023
Revenue
0
70 600 000
1 048 200 000
3 685 820 000
9 087 900 000
30 290 320 000
Number of generated neural networks (AI capabilities)
0
2 000 000
10 800 000
35 000 000
80 000 000
240 000 000
Cost structure
0%
55%
28%
29%
27%
25%
Generating AI capabilities
and client acquisition
0%
25%
58%
61%
65%
71%
AI channels and support
46%
9%
7%
5%
3%
2%
IT Platform
28%
6%
4%
3%
2%
1%
AI Platform
23%
5%
3%
2%
2%
1%
General and Administrative
3%
1%
0%
0%
0%
0%
Leagal and compliance
0%
55%
28%
29%
27%
25%
2018
2019
2020
2021
2022
2023
Revenue
0
5 400 000
28 192 000
77 745 200
206 258 000
550 456 000
Number of generated neural networks (AI capabilities)
0
120 000
288 000
700 000
1 600 000
4 000 000
Cost structure
0%
55%
28%
29%
27%
25%
Generating AI capabilities
and client acquisition
0%
25%
58%
61%
65%
71%
AI channels and support
46%
9%
7%
5%
3%
2%
IT Platform
28%
6%
4%
3%
2%
1%
AI Platform
23%
5%
3%
2%
2%
1%
General and Administrative
3%
1%
0%
0%
0%
0%
Leagal and compliance
0%
55%
28%
29%
27%
25%

Our Team

Iste Ullam Et Est
Voluptatum in placeat sit et
Voluptas Sit Qui
Iusto ipsam facilis cupiditate veniam et iure.
Ullam Illum Unde Et
delectus aut q
Dicta
Possimus est tempore quia
Commodi Ut Ea Commodi
Nemo reiciendis non facere qui odit quo.