Data1Qbit investor presentation

1. There is no such thing as a small
cyber security decision

2. 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.

3. 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.

4. 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?

5. 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.

6. Team
• Board of Advisors
• CEO
• COO
• CIO/CTO
• CISO
• Various lower-ranked management and
technical staff

7. 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

8. Product-Data Solutions
What do we sell?
• VAaaS SaaS subscriptions->SME->Enterprise
• Data information subscription products:
Newsletters & bulletins
Alerts 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

9. System/Business Status
• 2 years intense R&D
• Team
• Full system architecture
• VAaaS simulation
• Multiple market validations
SME Validation
C-level Validation
Insurance Company Validation
• Strategic partner discussions
Insurance industry
Others

10. Intellectual Property
• Specific data collection/mining processes
• System source codes
• Proprietary algorithms
Targeted technology acquisitions
Customer cyber sec profile/behavior data
Data monopoly

11. 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

12. 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

13. 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

14. Financial Projections
2015
6 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

15. 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

16. Exit Strategy
• Sell all or part of company to other data
companies
• Multiple target acquirers identified
• 4-12X forward revenue multiples

17. Recent SaaS Exit Multiples

18. 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

19. Ray Hutchins
rh@Data1Qbit.com
www.Data1Qbit.com
303-997-5506