Data science team for hire and R&D. We are a team of data scientists, data engineers and software developers on a mission to help solve major global issues with the power of AI, Machine learning and Quantum computing.

1. HoneyPotz,
Inc.SAGEGPUCLOUD
www.sagegpucloud.com
We are a team of data scientists, data
engineers and software developers on a
mission to help solve major global issues
with the power of AI, Machine learning and
Quantum computing.
The AccessibleAICloud

2. AI LABS
Artificial Intelligence,
Machine Learning,
Deep Learning,
Neural Networks,
Convolutional Neural
Networks, Quantum
Computing
Satellite ssification, Object
recognition and counting,
Face recognition, GPU,
FPGA, Data Labeling, Data
Science, NVIDIA CUDA
programing, Data Mining,
Big Data
Autonomous flying drones,
Predictive maintenance
(trucks, heavy equipment,
airplanes, helicopters, jet-
engines)
DNA-sequencing, early
disease detection

3. WE ARE READY TO HELP YOU
Cloud
Partners

4. Artificial Intelligence is the next big tool in computing. Sage has the
best platform for use by scientists and businesses to most easily use
and leverage AI Technology.
SAGEGPUCLOUD’S great
story
The software is used by over
130,000 organizations
worldwide to manage some of
the world’s most complex IT
environments including some of
the largest Telecommunications
Carriers, Managed Service
Providers and Banks.
Sage GPU Cloud (Sage) provides end-to-end user-
friendly solutions for artificial intelligence and deep
learning to help scientists and businesses solve
important global problems.
These include end-to-end solutions for biotechnology,
artificial intelligence, machine learning, deep learning,
3D video rendering in GPU-accelerated computing
cloud.
Computing power
doubles every year
(Moore's law).
$
AI represents a projected $89
Billion industry by 2025.
SageGPUCLOUD provides the fastest
computing power.
SageGPUCLOUD is like an AMAZON
Marketplace for Data Scientists.

5. TRACTION
The company is pre-revenue.
We have a very large pipeline already..
We have a signed LOI to provide
$1,000,000.00 worth of services. We
need capital to market more
aggressively.
Our projects are priced at $225,000.00
and it costs us about $75,000.00.
Have partnered with 2 large Data
Science Teams to provide AI as a
service..
• One team has hundreds of
data scientists
• Second team has 120 data
scientists
Working on a Chinese deal with
155 Chinese data scientists.
(China leads AI). One company
there uses Facial recognition to
spot criminals on 118 million
cameras in the country. It took
in $600 million in AI investments
and is now worth $4.5 billion.
A few developments worth
mentioning:
$
$

6. MARKET SIZE
The statistic shows the size of the artificial
intelligence market worldwide, from 2016 to 2025.
2016 17 18 19 20 21 22 23 24 2025
The Artificial Intelligence market is
expected to grow to $89 Billion by
2025.
A Growing Market
In 2018, the global AI market is expected to be worth
approximately 7.35 billion U.S. dollars.
Some current major uses of artificial intelligence
include image recognition, object identification,
detection, and classification, as well as automated
geophysical feature detection.
The largest proportion of revenues come from the AI
for enterprise applications market. – Statistica.
AI Global
Market Projections – in $Billions
89.8
71.0
53.2
38.0
26.0
17.3
11.3
7.34.83.2

7. TARGET CUSTOMER
Chat robots for customer service online
Automated answering phone systems
Matchmaking (E-Harmony online dating etc.)
Facial recognition
Object presence recognition (one example is to
count moving ships
Driver-less cars
Autonomous trains, ships, planes
Sports analytics
Climate changes predictive modeling
Shopping suggestions (online shopping)
Movie suggestions (Netflix etc.)
Mechanical parts failure predictions before it
happens (elevators, fleet of trucks, commercial
planes)
Healthcare (cancer detection>based on x-rays,
heart
disease detection>based on heart performance
observations)
There is a long list of SAGE Target Industries, here are a few of
them..

8. The problem is how to make AI
available and User-Friendly to a
multitude of industries with various
levels of programming skills, and, even
NO programming skills.
THE PROBLEM

9. SAGEGPUCLOUD partners with the best
cutting-edge software and hardware
providers to offer a plethora of tools
for data scientists in a user-friendly
environment at competitive pricing.
The ability to offer various
technological solutions makes
SAGEGPUCLOUD vendor agnostic.
THE SOLUTION

10. BUSINESS MODEL
The model is to charge by the
individual project.
The charge per project is ~
$225,000.
It costs us ~ $75,000 to complete a
project.
Companies currently working on
multiple data science projects and
employ many data scientists.
$

11. SAGE
GPU
CLOUD
DEEP
LEARNING
HPC APPS
HPC VISUALIZATION

12. User Friendly
Interface
Cloud Applications
130 Readily available
software packages
Mega GPU
Computers
GPU accelerated
computing at
scale
User Friendly
Interface
One-click
deployment
Cloud
Application
s
Mega GPU
Computers
User Friendly
Interface
THE BEST SOLUTION
Competitors Provide Mega GPU’s
and/or Cloud Applications but they are
not easily ACCESSIBLE

13. Our advantage is the secret recipe which is a
combination of Mega Computing, Cloud
Availability and User-Friendly Accessibility.
Customized SAGE brings all elements of the
formula together to provide a usable service
that leverages existing AI technology in the
Cloud.
SAGE GPU CLOUD ADVANTAGE
Our advantage is the secret recipe which is a combination of
Mega Computing, Cloud Availability and User-Friendly
Accessibility.
Artificial Intelligence is going to fuel
progress in every aspect of our lives and
SAGEGPU is on the cutting edge of AI as a
service industry

14. MARKET APPROACH
SAGE will use a direct sales approach and competitive bidding to
market the platform and all of its services.
Federal Bid TeamProfessional Sales
Team
Professional Sales
Marketing Team

15. YEAR
ONE
YEAR
TWO
YEAR
THRE
E
TOTAL REVENUE
EBITDA
$4,400,000
$1,951,500
$13,200,00
0
$6,029,500
$39,600,00
0
$18,613,50
0
FINANCIAL PROJECTIONS

16. CAPITAL REQUIREMENTS
Hiring of Key Resources in Each
Territory
Further automation of Sales and Marketing
Working Capital
Productization, Marketing and launch of SAGE GPU
Cloud Services
$
10%
23%
37%
$1M
30%

17. SAGE ROI Calculation
2019 2020 2021
EBITDA
Current Investment
$1,951,500
$200,000
$6,029,500 $18,613,500
New Investment
Total Investment
$1,000,000
$1,200,00 $2,000,000 $2,000,00
0
Return
ROI
$751,500
63%
$4,029,500
201%
$16,613,50
0831%
ROI PROJECTIONS

18. OFFERING
SAGE GPU CLOUD
Investment Offering
Proposed Year:
Seed
1
Round 1
2
Round 2
3
Exit
3
Value, Investment, Shares
Investment Amount
Equity Share Offering Percentage
Valuation
Investor Exit Payout
Investor Years Until Exit
Investor IRR
Share Ownership
Founders’ Share
Stock Split Multiple
Stock Options Issued
Investor Shares Issued
Price per share
Options Holders’ Shares
Year 1 Investors’ Shares
Year 2 Investors’ Shares
Year 3 Investors’ Shares
Total Shares Outstanding
Equity Ownership Percentage
Founders’ Equity
Option Holders’ Equity
Year 1 Investors’ Shares
Year 2 Investors’ Shares
Year 3 Investors’ Shares
Total Equity
Investors’ Equity
Founders’ & Employees’ Equity
$200,000
0.00%
$0
$0
2
0.00%
Year 1
2,000,000
0
0
$0.00
0
0
2,000.000
Year 1
100.00%
0.00%
0.00%
100.00%
0.00
$1,000,000
10.00%
$10,000,000
$0
1
0.00%
Year 2
2,000,000
0
0
222,222
$4.50
0
0
222,222
2,222,222
Year 2
90.00%
0.00%
0.00%
10.00%
100.00%
10.00%
$0
0.00$
$0
$0
0
$0.00
Year 3
2,000,000
0
0
0
$0.00
0
0
222,222
0
2,222,222
Year 3
90.00%
0.00%
0.00%
10.00%
0.00%
100.00%
10.00%
$0
Year 3
2,000,000
0
0
$0.00
0
0
222,222
0
2,222,222
Year 3
90.00%
0.00%
0.00%
10.00%
0.00%
100.00%
10.00%
100.00% 90.00% 90.00% 90.00%

19. INVESTMENT ANALYSIS
SAGE GPU CLOUD
Investment Analysis
Start Year 1 Year 2 Year 3
Initial Investment
Investment
Dividends
Ending Valuation
Combination as Income Stream
Percent Equity Acquired
Net Present Value (NPV)
Internal Rate of Return (IRR)
Assumptions
Discount Rate
Valuation Earnings Multiple
Valuation Sales Multiple
Investment (calculated)
Dividends
Calculated Earning-based Valuation
Calculated Sales-based Valuation
Calculated Average Valuation
$200,000
$0
$9,000,000
$8,800,000
10%
20,065,191
15%
12.00%
$200,000
$1,000,000
$0
$10,000,000
$9,000.000
5
2
$0
$0
$6,830,.000
$8,800,000
$0
$0
$0
$0
5
2
$0
$0
$21,100,000
$26,400,000
$0
$0
$7,920,000
$7,920,000
5
2
$0
$0
$65,150,000
$79,200,000
$7,815,000 $23,750,000 $72,175,000

20. YEAR
ONE
YEAR
TWO
YEAR
THRE
E
CAPITAL RAISE
VALUATIONS
$12,500,00
0
$70,000,00
0
$35,000,00
0
$150,000,0
00
EXIT
$400,000,0
00
Future FUNDING ROUNDS and EXIT
ROUND A ROUND B

21. MANAGEMENT TEAM
Vlad Lialine
CEO /Founder
Founder of Twixsoft, Honeypotz
Artificial Intelligence, Machine Learning,
Deep Learning, Blockchain,
Consulting / Software Development, Data-
Science,
Hyperledger, Stellar, DLT, Dapps, and GPU-
accelerated Cloud.
We’ve established a
multi-disciplinary team with over
150 years of combined experience
running successful technology
companies.
Recently, we have been accepted
into the NVIDIA Inception Program
and IBM Accelerator/Incubator
Program.
One of our current projects
includes participation in the
Lockheed Martin sponsored contest
for an AI-driven drone race
“Alphapilot.”
“
“

22. Please take the
next steps to
explore this
opportunity
further. . .
We look
forward to
hearing from
you.
Next Steps SageGPUCloud
1 Contact us by email at
vlad.lialine@honeypotz.net
2 Contact us by phone at 203-
273-6988 and speak with
Vlad Lialine.
3 Book your own appointment
on the link
https://calendly.com/vlad-5

23. SageGPUCloud
8 The Green, Ste R
Dover , DE 19901
(203) 461-4331
Vlad.lialine@
honeypotz.net