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Fintech

Datametrex Earns over $9.56M with over $19M Revenue in Q1

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  • Record Q1 Revenue of $19.04 Million up 2,253%
  • Record Adjusted EBITDA of $10.68 Million up 1,548%
  • Net Earnings of 9,560,351 up 1,425%

Toronto, Canada–(Newsfile Corp. – May 31, 2021) – Datametrex AI Limited (TSXV: DM) (FSE: D4G) (OTCQB: DTMXF) (the “Company” or “Datametrex”) is pleased to report the record achievement in the history of the Company. Datametrex has filed on SEDAR its financial statements (“FS“) and related management discussion and analysis (“MD&A”) for the three-month financial results ending March 31, 2021 (“Q1 2021”).

Q1 2021 Financial Summary

The Company’s financial performance immensely improved in the first quarter, attributed by growth across its COVID-19 sales and its related services with the film and production industry and uptake in its health technology business.

The Company reported record revenue of $19,045,888, 2,253% increase, and net earnings of $9,560,351, 1,425% increase, compared to Q1, 2020. Adjusted EBITDA also improved significantly $10,684,254 in Q1 2021 up 1,548% compared to ($737,698) in Q1 2020. This Adjusted EBITDA reflects the Company’s operations, not including non-cash items. The Company also significantly improved its cash balance, up 17,044% from Q1 2020.

The following is selected financial information for the three-month financial results ending March 31, 2021, along with comparative results. Please refer to the Q1 2021 Filing in its entirety, which is available under Datametrex’s profile at www.sedar.com.

“The Company’s first-quarter results reflect another record period of strong execution as we continue to build an integrated health technology company,” commented Marshall Gunter, CEO of Datametrex.

“We have entered 2021 coming off a record 2020 year in revenue and this trend will only continue to improve quarter over quarter as we focus on increasing our revenue channel with strategic funding of our sales and operations teams to drive business. Additionally, any future acquisitions in the pipeline will accelerate the development of our health technology business steering expansion efforts that will help accelerate our ability to continue to increase our revenue,” said Andrew Ryu, Chairman of the Company.

Financial Highlights for three-month financial results ended March 31, 2021 (Q1):

  • Revenue of $19,045,888 for Q1 compared to revenue of $809,402.
  • Net earnings of $9,560,351 compared to ($721,761).
  • EBITDA of $10,684,254 compared to ($737,698).
  • Cash balance of $4,619,908 compared to a cash balance of $26,948.

All figures are in Canadian dollars unless otherwise noted:

Q1 2021 Q1 2020 % Change
Total revenues $19,045,888 $809,402 2,253%
COVID-19 Test kits revenue $18,561,296 $0 100%
AI and Technology and Other revenue $484,592 $809,402 -40%
Income/Loss before income taxes $10,482,954 (737,968) 1,521%
Net Income/Loss $9,560,351 (721,761) 1,425%
Income per share – basic $0.03 (0.003) 1,100%
EBITDA $10,684,254 ($737,698) 1,548%

 

The following reconciles the net income, EBITDA and Adjusted EBITDA (non-IFRS):

Q1 2021 Q1 2020
March 31, 2021 March 31, 2020
Net profit $9,560,351 ($721,761)
Add: interest and accretion $10,936 $14,766
Add: income tax provisions (recovery) $922,603 ($16,207)
Add: depreciation & amortization $190,364 $194,899
EBITDA (non IFRS) $10,684,254 ($528,303)
Add: share based compensation $3,268,404 $271,000
Adjusted EBITDA (non IFRS) $13,952,658 ($257,303)

 

Q1 2021 Q1 2020 Dollar Change Percent Change
Total Assets $25,026,759 $9,998,329 $15,028,430 150%
Total Liabilities $6,467,940 $6,053,667 $414,273 7%

 

The following presents Book value per share (“BVPS”). Please refer to the note at the end of this news release concerning non-IFRS financial measures.

Q1 2021 Q1 2020
Equity Attributable to DM Shareholders (book value) $17,863,877 $2,473,792
Total common shares outstanding at period end 292,769,034 233,701,561
BVSP $0.06 $0.01

 

Q1 Highlights and Subsequent Events

  • The Company’s revenue increased by 2,253% in Q1 2021 compared to Q1 2020 bringing in over $19M in revenue.

  • The Company closed its acquisition of 100% of Concierge Medical Consultants Inc.’s issued and outstanding securities, pursuant to terms of the share exchange agreement entered into between the Company, Concierge, and the shareholders of Concierge.

  • The Company entered into a Letter of Intent, to acquire 100% of the issued and outstanding share capital of a telemedicine company, an arm’s length privately held company, incorporated under the laws of the Province of British Columbia.

  • The Company’s common shares began trading on the OTCQB® Venture Market

  • Health Canada (“HC”) approved the PCL Inc.’s (“PCL”) COVID19 AG Rapid test kit (“PCL Antigen”), an antigen point-of-care rapid test device under the Interim Order (“IO”) Respecting the Importation and Sale of Medical Devices for Use in Relation to COVID-19.

  • The Company renewed and extended its current sales agreements on January 15, 2021, with LOTTE Global Logistics, LOTTE Duty-Free Shops, and LOTTE Home Shopping, LOTTE Super, collectively LOTTE, for technology services and maintenance.

  • The Company remains a significant shareholder of Graph Blockchain (CSE: GBLC)

  • The Company has opened in partnership with ScreenPro Security Inc. (CSE: SCRN) a COVID-19 testing clinic in Vancouver, British Columbia located in the Coal Harbor.

  • The Company implemented a new COVID-19 testing program for all the Company employees, consultants, technicians, nurses, and lab partner employees.

Outlook

Despite a significant market slowdown due to the pandemic, the Company continued to improve its businesses in Q1. The Company continues focusing its resources on expanding and improving its AI business in 2021, with the Company expecting to see significant growth in both its existing cybersecurity AI verticals and new health technology verticals that the Company is exploring.

As the Company further integrates the medical concierge business, the Company sees a significant upside as the COVID-19 pandemic shows signs that point to more healthcare being administered at home.

Given the significant surge in the need for additional healthcare resources, establishing alternative healthcare options becomes critical. Datametrex understands that non-acute healthcare can mitigate exposing patients and their families to COVID-19. The Company is exploring deploying a variety of audio and video technology powered by its battle-tested AI technology to expand telemedicine services.

About Datametrex

Datametrex AI Limited is a technology-focused company with exposure to Artificial Intelligence and Machine Learning through its wholly-owned subsidiary, Nexalogy (www.nexalogy.com). Datametrex’s mission is to provide tools that support companies in fulfilling their operational goals, including Health and Safety, with predictive and preventive technologies. By working with companies to set a new standard of protocols through Artificial Intelligence and health diagnostics, Company provides progressive solutions to support the supply chain.

For additional information on Datametrex and other corporate information, please visit the Company’s website at www.datametrex.com.

For further information, please contact:

Marshall Gunter – CEO
Phone: (514) 295-2300
Email: [email protected]

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

Forward-Looking Statements:

All statements included in this press release that address activities, events, or developments that the Company expects, believes, or anticipates will or may occur in the future are forward-looking statements. These forward-looking statements involve numerous assumptions made by the Company based on its experience, perception of historical trends, current conditions, expected future developments and other factors it believes are appropriate in the circumstances. In addition, these statements involve substantial known and unknown risks and uncertainties that contribute to the possibility that the predictions, forecasts, projections, and other forward-looking statements will prove inaccurate, certain of which are beyond the Company’s control. In particular, there is no guarantee that the parties will successfully negotiate and enter into a definitive agreement on mutually acceptable terms or complete the Transaction in the manner contemplated herein, if at all, that the due diligence of any of the parties will be satisfactory, or that the parties will obtain any required board, shareholder, third-party and/or regulatory or other governmental approvals, if any. Readers should not place undue reliance on forward-looking statements. Except as required by law, the Company does not undertake to revise or update these forward-looking statements after the date hereof or revise them to reflect the occurrence of future unanticipated events.

NON-IFRS FINANCIAL MEASUREMENTS

The Company has included non-IFRS performance measures throughout this press release, including (a) Earnings Before Interest, Taxes, Depreciation and Amortization (“EBITDA”); (b) Adjusted EBITDA which is EBITDA adjusted for the gain (loss) on change in fair value of the Company’s investment properties and the gain (loss) on change in fair value of derivative instruments; and (c) Book Value per Share which is calculated as equity attributable to Datametrex AI Limited shareholders divided by total common shares outstanding at the end of the reporting period. These non-IFRS financial measurements do not have any standardized meaning as prescribed by International Financial Reporting Standards (“IFRS”) and are therefore unlikely to be comparable to similar measures presented by other issuers. Accordingly, these performance measures are intended to provide additional information and should not be considered in isolation or as a substitute for measures of performance prepared in accordance with IFRS. Management uses EBITDA metrics to measure the profit trends of the business units and segments in the consolidated group since it eliminates the effects of financing decisions. Certain investors, analysts and others utilize these non-IFRS financial metrics in assessing the Company’s financial performance. These non-IFRS financial measurements have not been presented as an alternative to net income or any other financial measure of performance prescribed by IFRS. Reconciliation of non-IFRS measures has been provided throughout the Company’s MD&A, as applicable, filed under the Company’s profile on www.SEDAR.COM.

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To view the source version of this press release, please visit https://www.newsfilecorp.com/release/85736

Fintech

How to identify authenticity in crypto influencer channels

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Modern brands stake on influencer marketing, with 76% of users making a purchase after seeing a product on social media.The cryptocurrency industry is no exception to this trend. However, promoting crypto products through influencer marketing can be particularly challenging. Crypto influencers pose a significant risk to a brand’s reputation and ROI due to rampant scams. Approximately 80% of channels provide fake statistics, including followers counts and engagement metrics. Additionally, this niche is characterized by high CPMs, which can increase the risk of financial loss for brands.

In this article Nadia Bubennnikova, Head of agency Famesters, will explore the most important things to look for in crypto channels to find the perfect match for influencer marketing collaborations.

 

  1. Comments 

There are several levels related to this point.

 

LEVEL 1

Analyze approximately 10 of the channel’s latest videos, looking through the comments to ensure they are not purchased from dubious sources. For example, such comments as “Yes sir, great video!”; “Thanks!”; “Love you man!”; “Quality content”, and others most certainly are bot-generated and should be avoided.

Just to compare: 

LEVEL 2

Don’t rush to conclude that you’ve discovered the perfect crypto channel just because you’ve come across some logical comments that align with the video’s topic. This may seem controversial, but it’s important to dive deeper. When you encounter a channel with logical comments, ensure that they are unique and not duplicated under the description box. Some creators are smarter than just buying comments from the first link that Google shows you when you search “buy YouTube comments”. They generate topics, provide multiple examples, or upload lists of examples, all produced by AI. You can either manually review the comments or use a script to parse all the YouTube comments into an Excel file. Then, add a formula to highlight any duplicates.

LEVEL 3

It is also a must to check the names of the profiles that leave the comments: most of the bot-generated comments are easy to track: they will all have the usernames made of random symbols and numbers, random first and last name combinations, “Habibi”, etc. No profile pictures on all comments is also a red flag.

 

LEVEL 4

Another important factor to consider when assessing comment authenticity is the posting date. If all the comments were posted on the same day, it’s likely that the traffic was purchased.

 

2. Average views number per video

This is indeed one of the key metrics to consider when selecting an influencer for collaboration, regardless of the product type. What specific factors should we focus on?

First & foremost: the views dynamics on the channel. The most desirable type of YouTube channel in terms of views is one that maintains stable viewership across all of its videos. This stability serves as proof of an active and loyal audience genuinely interested in the creator’s content, unlike channels where views vary significantly from one video to another.

Many unauthentic crypto channels not only buy YouTube comments but also invest in increasing video views to create the impression of stability. So, what exactly should we look at in terms of views? Firstly, calculate the average number of views based on the ten latest videos. Then, compare this figure to the views of the most recent videos posted within the past week. If you notice that these new videos have nearly the same number of views as those posted a month or two ago, it’s a clear red flag. Typically, a YouTube channel experiences lower views on new videos, with the number increasing organically each day as the audience engages with the content. If you see a video posted just three days ago already garnering 30k views, matching the total views of older videos, it’s a sign of fraudulent traffic purchased to create the illusion of view stability.

 

3. Influencer’s channel statistics

The primary statistics of interest are region and demographic split, and sometimes the device types of the viewers.

LEVEL 1

When reviewing the shared statistics, the first step is to request a video screencast instead of a simple screenshot. This is because it takes more time to organically edit a video than a screenshot, making it harder to manipulate the statistics. If the creator refuses, step two (if only screenshots are provided) is to download them and check the file’s properties on your computer. Look for details such as whether it was created with Adobe Photoshop or the color profile, typically Adobe RGB, to determine if the screenshot has been edited.

LEVEL 2

After confirming the authenticity of the stats screenshot, it’s crucial to analyze the data. For instance, if you’re examining a channel conducted in Spanish with all videos filmed in the same language, it would raise concerns to find a significant audience from countries like India or Turkey. This discrepancy, where the audience doesn’t align with regions known for speaking the language, is a red flag.

If we’re considering an English-language crypto channel, it typically suggests an international audience, as English’s global use for quality educational content on niche topics like crypto. However, certain considerations apply. For instance, if an English-speaking channel shows a significant percentage of Polish viewers (15% to 30%) without any mention of the Polish language, it could indicate fake followers and views. However, if the channel’s creator is Polish, occasionally posts videos in Polish alongside English, and receives Polish comments, it’s important not to rush to conclusions.

Example of statistics

 

Wrapping up

These are the main factors to consider when selecting an influencer to promote your crypto product. Once you’ve launched the campaign, there are also some markers to show which creators did bring the authentic traffic and which used some tools to create the illusion of an active and engaged audience. While this may seem obvious, it’s still worth mentioning. After the video is posted, allow 5-7 days for it to accumulate a basic number of views, then check performance metrics such as views, clicks, click-through rate (CTR), signups, and conversion rate (CR) from clicks to signups.

If you overlooked some red flags when selecting crypto channels for your launch, you might find the following outcomes: channels with high views numbers and high CTRs, demonstrating the real interest of the audience, yet with remarkably low conversion rates. In the worst-case scenario, you might witness thousands of clicks resulting in zero to just a few signups. While this might suggest technical issues in other industries, in crypto campaigns it indicates that the creator engaged in the campaign not only bought fake views and comments but also link clicks. And this happens more often than you may realize.

Summing up, choosing the right crypto creator to promote your product is indeed a tricky job that requires a lot of resources to be put into the search process. 

Author Nadia Bubennikova, Head of agency  at Famesters

Author

Nadia Bubennikova, Head of agency at Famesters

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Fintech

Central banks and the FinTech sector unite to change global payments space

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The BIS, along with seven leading central banks and a cohort of private financial firms, has embarked on an ambitious venture known as Project Agorá.

Named after the Greek word for “marketplace,” this initiative stands at the forefront of exploring the potential of tokenisation to significantly enhance the operational efficiency of the monetary system worldwide.

Central to this pioneering project are the Bank of France (on behalf of the Eurosystem), the Bank of Japan, the Bank of Korea, the Bank of Mexico, the Swiss National Bank, the Bank of England, and the Federal Reserve Bank of New York. These institutions have joined forces under the banner of Project Agorá, in partnership with an extensive assembly of private financial entities convened by the Institute of International Finance (IIF).

At the heart of Project Agorá is the pursuit of integrating tokenised commercial bank deposits with tokenised wholesale central bank money within a unified, public-private programmable financial platform. By harnessing the advanced capabilities of smart contracts and programmability, the project aspires to unlock new transactional possibilities that were previously infeasible or impractical, thereby fostering novel opportunities that could benefit businesses and consumers alike.

The collaborative effort seeks to address and surmount a variety of structural inefficiencies that currently plague cross-border payments. These challenges include disparate legal, regulatory, and technical standards; varying operating hours and time zones; and the heightened complexity associated with conducting financial integrity checks (such as anti-money laundering and customer verification procedures), which are often redundantly executed across multiple stages of a single transaction due to the involvement of several intermediaries.

As a beacon of experimental and exploratory projects, the BIS Innovation Hub is committed to delivering public goods to the global central banking community through initiatives like Project Agorá. In line with this mission, the BIS will soon issue a call for expressions of interest from private financial institutions eager to contribute to this ground-breaking project. The IIF will facilitate the involvement of private sector participants, extending an invitation to regulated financial institutions representing each of the seven aforementioned currencies to partake in this transformative endeavour.

Source: fintech.globa

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TD Bank inks multi-year strategic partnership with Google Cloud

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TD Bank has inked a multi-year deal with Google Cloud as it looks to streamline the development and deployment of new products and services.

The deal will see the Canadian banking group integrate the vendor’s cloud services into a wider portion of its technology solutions portfolio, a move which TD expects will enable it “to respond quickly to changing customer expectations by rolling out new features, updates, or entirely new financial products at an accelerated pace”.

This marks an expansion of the already established relationship between TD Bank and Google Cloud after the group previously adopted the vendor’s Google Kubernetes Engine (GKE) for TD Securities Automated Trading (TDSAT), the Chicago-based subsidiary of its investment banking unit, TD Securities.

TDSAT uses GKE for process automation and quantitative modelling across fixed income markets, resulting in the development of a “data-driven research platform” capable of processing large research workloads in trading.

Dan Bosman, SVP and CIO of TD Securities, claims the infrastructure has so far supported TDSAT with “compute-intensive quantitative analysis” while expanding the subsidiary’s “trading volumes and portfolio size”.

TD’s new partnership with Google Cloud will see the group attempt to replicate the same level of success across its entire portfolio.

Source: fintechfutures.com

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