There is no such thing as a small cyber security decision

Company Overview

• We collect data 24/7 on everything that matters about ALL cyber companies and ALL the products they make—globally.

• Then we package and sell that data in several ways: VAaaS (Vendor assessment-as-a-service) Various reports and bulletins Custom data streams to businesses (insurance companies, government

agencies, consultants, risk analysts, and others)

We transform how companies make decisions about cyber security.

We’re a “Platform Company” that enables investors to leverage off our cyber security data monopoly to capitalize upon the

exploding cyber security market.

The Problem

• Only the biggest business problem there is: The relentless cyber attack on capitalism. There is a billion-man army of opportunists, criminals, and rogue governments attacking our assets at the speed of light.

• National Security Issue: Caused by Internet infrastructure not designed for security and business leadership which is, on average, not IT-savvy.

What Businesses Face

1. For the smallest company it takes a minimum of 5 cyber security products to protect the network.

2. For large companies it takes between 25-40.3. There are over 80 different cyber security product

CATEGORIES.4. We have over 2,200 cyber security companies that make

products in our database and thousands of different products…with more being added every day.

How do you know which products are available?How do you know which products are best for you?

How do you make those products integrate/work together?

Premise

It is impossible to make good cyber security purchasing decisions without access to a current data repository containing ALL the information possible about ALL cyber security companies and ALL the products they make.

In addition, this information must be organized in a way to make comparison shopping easy, fast, and affordable.

If you accept this premise, then you must conclude that without such information, it is impossible to protect our IT infrastructure.

If you agree with us, then we must work together to launch Data1Qbit - because we solve this problem.

Team

• Board of Advisors• CEO• COO• CIO/CTO• CISO• Various lower-ranked management and

technical staff

Target Markets

• 23M businesses• Consultants serving those decision-makers• Investors /analysts in cyber security markets• Governments and security agencies• Cyber insurance companies• Risk managers/consultants• Cyber security & law enforcement agencies

Product-Data Solutions What do we sell?

• VAaaS SaaS subscriptions->SME->Enterprise• Data information subscription products:

Newsletters & bulletinsAlerts on product and company changes, updates,

etc.Targeted articles, reports, analyses, etc

• Custom data streams to targeted industries• IT system clones licensed to other tech silos

System/Business Status

• 2 years intense R&D• Team• Full system architecture• VAaaS simulation• Multiple market validations

SME ValidationC-level ValidationInsurance Company Validation

• Strategic partner discussionsInsurance industryOthers

Intellectual Property

• Specific data collection/mining processes• System source codes• Proprietary algorithms

Targeted technology acquisitionsCustomer cyber sec profile/behavior dataData monopoly

Benefits/Value

Customers:• Level playing field between vendors and buyers• Buyers make better cyber security decisions• For less money - affordable for all

Investors:• Make a difference - help the country• Unlimited expansion options• Huge ROI

Competitive Advantage

• Plenty of competitors Reports: Gartner, Forrester, IDC, others Various limited-scope vendor assessment tools

biased toward vendors

• No competitors with our level of comprehensive data collected and updated 24/7 – that contains NO vendor bias so that buyers can benefit

Business Model

• Target industry - cyber sec first• Collect company and product data• Organize/slice/dice/mine/analyze data• Sell via recurring revenue products• Create data monopoly • Repeat in other industries using OPM

Financial Projections

20156 months 2016 2017 2018

Sales 3,481,521 22,510,227 46,680,696

Expenses 3,486,708 10,802,013 15,837,250 26,410,363

EBITA (3,486,708) (7,320,492) 7,192,977 20,270,333

Financing Requirements

• Series A: $11M = 30% equity*• Series B: $100M = 20% equity (acquisitions)

• 20% equity for employees• 30% equity for Founder/contingency

*$36M initial valuation

Exit Strategy

• Sell all or part of company to other data companies

• Multiple target acquirers identified

• 4-12X forward revenue multiples

Recent SaaS Exit Multiples

Closing

• What does your intuition tell you?

• BOA member Vic Ahmed said it best: “This is the right deal at the right time led by the right guy.”

• Once-in-a-lifetime opportunity Make a difference - save capitalism (no hyperbole!)Make a high return relative to investment

Ray Hutchinsrh@Data1Qbit.com

www.Data1Qbit.com303-997-5506