Honeypotz

AI LABS

Artificial
Intelligence, Machine
Learning, Deep
Learning, Neural
Networks, Convolutional
Neural

Networks, Quantum
Computing

DNA-sequencing, early
disease detection

Satellite image
classification, Object recognition
recognition and counting, Face
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)

THE PROBLEM /PRODUCT MARKET FIT

The problem is how to explain AI and demonstrate ROI to a multitude of industries.

In case of DIGITAL MARKETING

Everyone is using A/B testing but we know for a fact that there are 1,000s variations of landing pages needed to get significant improvement in CTR. This is called multivariate and personalization.

It takes CMOs of E-commerce companies 2 months and $50k of ad spend to optimize a new campaign.
Our solution for DIGITAL MARKETING will auto-generate and launch 1,000s landing pages with various designs in a matter of minutes saving time and money dramatically.

THE SOLUTION

SAGEGPUCLOUD partners with the best cutting-edge software and hardware providers to offer a plethora of tools for our data scientists to train DEEP LEARNING models for:


HealthCare image classification https://bodylabs.honeypotz.net

Digital Marketing https://digitalads.honeypotz.net

Credit scoring https://creditlabs.honeypotz.net

Aicraft predictive maintenance https://skylabs.honeypotz.net

Microscopic test analysis https://deepbody.honeypotz.net, https://deepblood.honeypotz.net

Automatic data labeling https://datalabs.honeypotz.net


Success of any AI project lies in 3 things:
1.Talent (CHECK)
2.Infrastructure (CHECK)
3.Software (CHECK)

WE ARE READY TO HELP YOU

SAGEGPUCLOUD’S great story

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.

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.

  • 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.

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.

TRACTION

The company is generating $10,000 per month and its accelerating..

We have a very large pipeline already and Establishing Honeypotz Switzerland to gain more traction.

We have a few investor commitments to provide upto $5,000,000 + at later rounds..

Our larger projects are priced at $175,000 +

A few developments worth mentioning:

Have partnered with 2 large Data Science Teams to provide creation and support of AI products.

  • One team has 35 of data scientists
  • Second team has 120 data scientists

Working on adding 65+ Chinese data scientists to Honeypotz (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.

MARKET SIZE

A Growing Market

The statistic shows the size of the artificial intelligence market worldwide, from 2016 to 2025.

 

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.

 

The Artificial Intelligence market is expected
to grow to $89 Billion by 2025.

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..

BUSINESS MODEL/ GO-TO-MARKET

The model is to charge by the individual project + recurring revenue for ongoing model updates

The charge per project is ~ $225,000+$5,000+monthly

We have a go-to-market strategy in DIGITAL MARKETING for E-COMMERCE via our partnership with a well-established Marketer in D.A.CH. region

Honeypotz is currently working on Digital Marketing solution https://adwords.honeypotz.net

THE BEST SOLUTION


 

Competitors Provide Mega GPU’s and/or Cloud Applications but they are not easily ACCESSIBLE

SAGE GPU CLOUD ADVANTAGE

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.

 

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

Our advantage is the secret recipe which is a combination of Mega Computing, Cloud Availability and User-Friendly Accessibility

MARKET APPROACH

SAGE will use a direct sales approach and competitive bidding to market the platform and all of its services.

Professional Sales
Marketing Team

Professional Sales
Team

Federal Bid Team

FINANCIAL PROJECTIONS

Year One Year Two Year Three
TOTAL REVENUE $4,400,000 $13,200,000 $39,600,000
EBITDA $1,951,500 $6,029,500 $18,613,500

CAPITAL REQUIREMENTS

Productization, Marketing and launch of SAGE GPU Cloud Services

Hiring of Key Resources in Each Territory

Working Capital

Further automation of Sales and Marketing

ROI PROJECTIONS

SAGE ROI Calculation

2019 2020 2021
EBITDA $1,951,500 $6,029,500 $18,613,500
Current Investment $200,000
New Investment $1,000,000
Total Investment $1,200,00 $2,000,000 $2,000,000
Return
ROI
$751,500
63%
$4,029,500
201%
$16,613,500
831%

OFFERING

SAGE GPU CLOUD

Investment Offering
Proposed Year:
Seed
1
Round 1
2
Round 2
3
Exit
3
Value, Investment, Shares
Investment Amount $200,000 $100,000 $0
Equity Share Offering Percentage 0.00% 10.00% 0.00$
Valuation $0 $10,000,000 $0 $0
Investor Exit Payout $0 $0 $0
Investor Years Until Exit 2 1 0
Investor IRR 0.00% 0.00% $0.00
Share Ownership Year 1 Year 2 Year 3 Year 3
Founders’ Share 2,000,000 2,000,000 2,000,000 2,000,000
Stock Split Multiple 0 0 0
Stock Options Issued 0 0 0 0
Investor Shares Issued 0 222,222 0
Price per share $0.00 $4.50 $0.00 $0.00
Options Holders’ Shares 0 0 0 0
Year 1 Investors’ Shares 0 0 0 0
Year 2 Investors’ Shares 222,222 222,222 222,222
Year 3 Investors’ Shares 0 0
Total Shares Outstanding 2,000.000 2,222,222 2,222,222 2,222,222
Equity Ownership Percentage Year 1 Year 2 Year 3 Year 3
Founders’ Equity 100.00% 90.00% 90.00% 90.00%
Option Holders’ Equity 0.00% 0.00% 0.00% 0.00%
Year 1 Investors’ Shares 0.00% 0.00% 0.00% 0.00%
Year 2 Investors’ Shares 10.00% 10.00% 10.00%
Year 3 Investors’ Shares 0.00% 0.00%
Total Equity 100.00% 100.00% 100.00% 100.00%
Founders’ & Employees’ Equity 100.00% 90.00% 90.00% 90.00%

INVESTMENT ANALYSIS

SAGE GPU CLOUD

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

Future FUNDING ROUNDS and EXIT

Year One Year Two Year Three
ROUND A ROUND B
CAPITAL RAISE $12,500,000 $35,000,000 EXIT
VALUATIONS $70,000,000 $150,000,000 $400,000,000

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.”