INVESTOR PRESENTATION - October, 2017 TSXV: DM TSXV: EVC TSXV: DM - - PowerPoint PPT Presentation

TSXV: EVC TSXV: DM

INVESTOR PRESENTATION

• October, 2017

TSXV: DM

TSXV: EVC TSXV: DM

Disclaimer

This presentation is being made available in the United States on a confidential basis only to persons reasonably believed to be “accredited investors” within the meaning of Rule 501(a) of Regulation D under the Securities Act (“Accredited Investors”) and specifically authorized to view this presentation. This presentation is being provided solely to enable the offeree to evaluate DATAMETREX AI LIMITED(“the Company”) and the securities being offered. This information does not constitute an offer to any other person or a general offer to the public of, or the general solicitation from the public of, offers to subscribe for or purchase any of the securities in the United States. The securities offered have not been registered under the U.S. Securities Act of 1933, as amended, or any other securities laws and may not be offered or sold in the United States absent registration or an applicable exemption from registration requirements. Purchasers of the securities in the United States will be required to be Accredited

• Investors. Any unauthorized use of the presentation is strictly prohibited.

The material available in this presentation may contain forward-looking statements, which are subject to risks, uncertainties and assumptions. In some cases, you can identify these statements by forward-looking words such as “may”, “might”, “will”,“ should”, “expect”, “plan”, “anticipate”, “believe”, “estimate”, or “predict” and other comparable terminology. Such forward-looking statements are based on current plans, estimates and expectations. Forward-looking statements are based on known and unknown risks, assumptions, uncertainties and other factors. The Company’s actual results, performance and achievements may differ materially from any future results, performance, or achievements expressed or implied by such forward-looking statements. The Company does not assume responsibility for the accuracy or completeness of any forward-looking statement and offerees should not rely on forward-looking statements as predictions of future events. The Company is under no duty to update any of these forward looking statements. The information provided in this presentation is not intended to provide financial, tax, legal or accounting advice. Each offeree, prior to investing in the Securities, should perform and rely on its own investigation and analysis of the Company and the terms of the offering of the Securities, including the merits and risks involved.

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• About Us
• Why Datametrex AI Limited
• How our Data Collection

Technology Works

• Dashboard In Device Mockup
• Development Completed
• Product Pipeline
• Future Developments
• Competitive Advantage
• Target Markets
• Go to Market Strategy

Table of Contents

4 5 6 7 8 9 10 11 12 – 13 14 3

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About Us

4 We are a Big Data and Artificial Intelligence(AI) company focused on the collection and sale of data from retail Point of Sale (POS) terminals and providing AI solutions for governments and corporations globally.

IoT REAL TIME ACCESS COLLECT & ANALYZE

DATAMETREX AI LIMITED

Datametrex AI Limited is a publicly listed company on the Toronto Venture Exchange. ( TSXV: DM )

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Why Datametrex AI Limited

5

• Da

Datametrex ha has two divisions ns: Collec ection n of Big Data and nd AI solut utions ns.

• Com
• mbination
• n of
• f unstructured Soc
• cial Data & Tradition
• nal structured Data

is is a powerful l pla latform whic ich Data AI can deliv liver.

• Bi

Big Data:

• We are a plug and play retrofit solution for retail vendors
• We extend the life of existing Point of Sale (POS) terminals and upgrade them to

have the benefit of new cloud based terminals:

• Link POS terminals to aggregate data from one location or many locations
• Real time access to data is key
• Remote access to data is key to manage multiple locations
• Ne

Nexalogy AI AI Solution

• Our AI platform is a social discovery engine that provides relevant and actionable

data from Social Media sites by filtering out spam

• Our proprietary semantic clustering algorithms detect weak signals in unstructured

text that aren’t available through traditional business intelligence technology

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• DATAMETREX’s DataTap (DT)

device is installed between the POS and receipt printer using serial port and USB port

• The DT captures all data sent

from POS to Receipt Printer

How Our Data Collection Technology Works

• Captured data is then sent, via

wifi to the cloud server

• It is then scrubbed and

populated to vendor Dashboard

• Captured data can include:

unit price, total price, description, quantity, weight, etc.

• Vendors’ Dashboards are

accessible from; PC’s, Laptops, Tablets and soon

• n their smartphones
• This allows vendors to

monitor data remotely freeing up time to focus

• n business development

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Dashboard In Device Mockup

TSXV: EVC TSXV: DM ü APPROVED

DATAMETREX’s DataTap (DT) device is patent pending and FCC approved

ü DATATAP IS OUT OF SCOPE FOR PCI

DT does not capture any payment card information

ü RAPIDLY BUILD A LARGE NETWORK

The DT’s low unit cost will allow Datametrex to rapidly build a large network of installed devices to provide the widest coverage of retail locations by any company

Development Completed

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Product Pipeline

USB DataTap DataTap with Hardwired Internet Interface

Similar to serial type DataTap, but captures data from devices with a USB interface (e.g. printers, scanners, displays) to provide access to new markets Provide the ability to manage back office inventory management system using provided data Versions of the DataTap that have a hardwired connection (e.g. ethernet cable) to a local network instead of using a WiFi connection to support retailers that have internet access, but no WiFi network 9

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Future Developments

Weekly Competitive Sales Report provide to retailers. Report to describe:

• Retailer’s top selling products, price charged by

retailer and price range that competitors sold the same product for

• Competitor’s top selling products and price range

that products were sold for

• Mobile application downloaded to consumers’

cellphone

• Consumer selects products they want pricing for
• App presents prices from retailers, within local

geographic area, for selected products

• Revenue generated through advertising and app

sponsorships

B2B B2C

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Competitive Advantage

DataTap – The new source for retail data:

• The current method of data extraction is a time consuming

and labour intensive process.

• Until the DataTap, only new cloud based POS systems could

link POS terminals and aggregate information.

• Each different POS system has its own proprietary format and

usually requires modifications to the POS system in order to access data via the cloud.

• DataTaps are inserted into a data flow between two

components of a POS system. These taps do not require modification of the POS and are invisible to the operation of the POS system.

• DataTaps do not interrupt/interfere with data flow, they sit
• utside of the flow and tap the information as it passes
• Similar to the 407 ETR scanning license plates for

information as cars drive rather than Toll Booths that interrupt the flow and potentially cause bottlenecks

• There is zero risk of downtime to a merchants POS terminal

as a result of installing a DataTap 11

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Target Markets

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Goal

To create multiple revenue streams from retail sales data obtained from a large number of small-medium sized retailers

Objectives

• Quickly create a large network of installed devices

in small-medium sized retailers

• Create multiple revenue streams from:
• 1. Installed devices
• 2. Data aggregators
• 3. Private equity
• 4. Brands
• 5. Master franchise

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Target Markets

01 02 03

Small-medium Retailers

• A low-cost service that provides sales

reports, basket analytics and product sales recommendations

• Cost to retailer:

National brands, Marketing/ad agencies

• Data sales
• Brand specific programs
• Understanding demographic purchasing

patterns Marketing/ad agencies

• Real-time access to network of

devices to measure effectiveness of promotional campaigns 13

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Go To Market Strategy STEP1

• Selling DT units to SME

retailers

• Internal sales coupled with

channel partners and VARs

• Plug and play solution to

retrofit existing POS terminals to have the benefits of cloud based POS

STEP2

Selling big data to the data aggregator such as Nielsen, NPD, Google, etc.

STEP3

Be the link to the end user via

• App. (Example: Tobacco, Diaper,

Wine prices.) 14

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THANK YOU