Download presentation
Presentation is loading. Please wait.
Published byGary Lawrence Modified over 9 years ago
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 months201620172018 Sales3,481,52122,510,22746,680,696 Expenses3,486,70810,802,01315,837,25026,410,363 EBITA(3,486,708)(7,320,492)7,192,97720,270,333
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 rh@Data1Qbit.com www.Data1Qbit.com
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.