IT
Datametrex Reports Record Quarter


TORONTO, Nov. 28, 2019 (GLOBE NEWSWIRE) — Datametrex AI Limited (the “Company” or “Datametrex”) (TSXV: DM) (FSE: D4G) (OTC: DTMXF) today released its financial results for the third quarter ended September 30, 2019. The Company’s cash position improved significantly, $812,853 compared to $66,296 in the previous quarter. In this quarter, the Company reported revenues of $1,683,985 compared to $589,648, up by 186%. For the nine months operations, the Company reported revenues of $2,559,068 compared to $1,872,944, up by 37%. Operating costs were significantly reduced, $1,034,071 compared to $2,192,822 in the third quarter, down by 53%.
“In Q3 2019, the Company achieved key milestones and made significant strides in strengthening its AI platform and offering. Increased sales and significant reduction in operating costs attributed substantial improvement in the bottom line,” said Marshall Gunter, the Chief Executive Officer of the Company.
Further commenting on the Q3 2019 results, Jeff Stevens, President of the Company stated “Datametrex was recently featured on CTV for its latest findings. The company’s proven technology sees tremendous opportunity across the North American and Asian markets where it is gaining wide acclaim. These markets have the potential to drive strong revenue across a variety of multinationals.”
“We are pleased with the improvements year over year and remain committed to increasing sales. Reducing costs and streamlining operations will position the Company for continued growth. The article published by Nicole Bogart of CTV further validates and substantiates our technology in the cyber security sector,” says Marshall Gunter, CEO of the Company.
Highlights for Q3 2019:
- The Company was successful in securing the second contract of a multi phase R&D program through the Department of National Defence’s Innovation for Defence Excellence and Security (IDEaS) program with a value of approximately $945,094.
- The Company was successful in software licencing contract with GreenInsightz Limited for the use of its proprietary Nexalogy’s Artificial Intelligence software platform for a value of approximately $1 million in cash and shares.
- The Company was successful in securing another contract with a division of Lotte for approximately $1,000,000.
- The Company participated in NATO Research Task Group in Paris, France.
- Promoted Marshall Gunter to Chief Executive Officer.
Financial Highlights
The following table reconciles income from operations to EBITDA and Adjusted EBITDA for the three and nine months ended September 30, 2019 and September 30, 2018:
Three months ended Sep. 30, |
Nine months ended Sep. 30, |
||||||||||
2019 | 2018 | 2019 | 2018 | ||||||||
$ | $ | $ | $ | ||||||||
Revenue | 1,683,985 | 589,648 | 2,559,068 | 1,872,944 | |||||||
Net loss | (695,803 | ) | (15,236,076 | ) | (2,612,556 | ) | (18,165,683 | ) | |||
EBITDA* | (539,115 | ) | (14,350,712 | ) | (2,092,871 | ) | (15,709,824 | ) | |||
Adjusted EBITDA* | (539,115 | ) | (1,422,731 | ) | (2,092,871 | ) | (1,565,323 | ) | |||
EBITDA per share* | (0.002 | ) | (0.072 | ) | (0.009 | ) | (0.079 | ) | |||
* Note: EBITDA and Adjusted EBITDA are non-GAAP/IFRS figures. “EBITDA” represents net income plus income tax, finance expense and depreciation. “Adjusted EBITDA” represents EBITDA plus share-based compensation and one-time costs. “Adjusted Net Income” represents net income plus one-time finance expenses.
The Company believes that Adjusted EBITDA is useful additional information to management, the board and investors as it provides an indication of the operational results generated by its business activities prior to taking into consideration how those activities are financed and taxed and also prior to taking into consideration asset depreciation and amortization and it excludes items that could affect the comparability of our operational results and could potentially alter the trends analysis in business performance. Excluding these items does not necessarily imply they are non-recurring, infrequent or unusual. Adjusted EBITDA is also used by some investors and analysts for valuing a company. Investors are cautioned that Adjusted EBITDA should not be construed as an alternative to operating earnings or net earnings determined in accordance with IFRS as an indicator of the Company’s financial performance or as a measure of the Company’s liquidity and cash flows. Adjusted EBITDA does not take into account the impact of working capital changes, capital expenditures, debt principal reductions and other sources and uses of cash, which are disclosed in the consolidated statements of cash flows.
Non-GAAP financial measures do not have standardized meaning prescribed by GAAP and are therefore unlikely to be comparable to similar measures presented by other companies. Specific items may only be relevant in certain periods. For reconciliation of non-GAAP financial measures please refer to the Company’s Management Discussion and Analysis for the period ended June 30, 2019.
The financial statements, notes to the financial statements and Management’s Discussion and Analysis for the nine-month period ended September 30, 2019 are available on SEDAR at www.sedar.com.
About Datametrex AI Limited
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).
Additional information on Datametrex is available at: www.datametrex.com
For further information, please contact:
Jeffrey Stevens – President
Phone: (647) 777-7974
Email: jstevens@datametrex.com
Neither TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.
Forward Looking Statements
This news release contains “forward-looking statements” within the meaning of the United States Private Securities Litigation Reform Act of 1995 and applicable Canadian securities legislation. Generally, these forward-looking statements can be identified by the use of forward-looking terminology such as “plans”, “anticipated”, “expects” or “does not expect”, “is expected”, “budget”, “scheduled”, “estimates”, “forecasts”, “intends”, “anticipates” or “does not anticipate”, or “believes”, or variations of such words and phrases or state that certain actions, events or results “may”, “could”, “would”, “might” or “will be taken”, “occur” or “be achieved”. The Company is subject to significant risks and uncertainties which may cause the actual results, performance or achievements to be materially different from any future results, performance or achievements expressed or implied by the forward looking statements contained in this release. Datametrex cannot assure investors that actual results will be consistent with these forward looking statements and Datametrex assumes no obligation to update or revise the forward looking statements contained in this release to reflect actual events or new circumstances.
IT
Networld to Distribute Cloudian Object Storage Solutions in Japan


TOKYO, Dec. 15, 2019 (GLOBE NEWSWIRE) — Networld Corp. and Cloudian® today announced that Networld will begin selling Cloudian’s HyperStore® object storage solution in Japan this month under a recently completed distribution agreement. The new partnership will provide customers with a limitlessly scalable, fully S3-compatible and highly cost-effective platform for managing, protecting and maximizing the value of growing datasets in hybrid cloud and on-premises environments. It builds on Cloudian’s position as the most widely deployed independent provider of object storage systems and its expanding presence in the Asia Pacific region over the last year. As the largest VMware distributor in Japan, Networld will also be able to capitalize on a solution Cloudian recently introduced specifically for VMware Cloud Providers.
Cloudian serves the needs of data-intensive industries such as scientific research, financial services, telecommunications, healthcare, government, and media and entertainment in a broad range of use cases, including:
- Data protection
- Active archive
- Storage services
- NAS offload
- Big data
- Artificial intelligence/machine learning
HyperStore offers the industry’s most advanced S3 compatibility, enabling seamless data management across public cloud and on-premises private cloud environments. In addition to hybrid and multi-cloud data management, other HyperStore benefits include:
- Modular and limitless scalability: Unlike many other object storage providers that require users to over-provision, Cloudian enables customers to start small and then grow without limit. As more capacity is needed, they can non-disruptively add an additional node or even new locations to the cluster and that capacity becomes part of the available storage pool.
- Geo-distribution: HyperStore’s global data fabric means storage can be deployed anywhere but still be managed centrally from a single pane of glass.
- Multi-tenancy: HyperStore provides isolated storage environments within a shared system to ensure data privacy. In addition, it incorporates billing and quality-of-service (QoS) features to help meet performance SLAs.
- Up to 70 percent cost savings: By reducing CAPEX and eliminating expensive and time-consuming data migrations, Cloudian can cut data protection costs by up to 70 percent compared to purpose-built disk-based offerings and tape-based systems.
- Choice of configurations: HyperStore is available as software-defined storage or pre-configured appliances.
“We’re seeing increasing adoption of object storage and expect this trend to accelerate moving forward,” said Shoichi Morita, president, at Networld. “The partnership with Cloudian reflects our continued commitment to providing customers with best-of-breed solutions that enable them to drive greater business or organizational success.”
“Over the past year, Cloudian has solidified its position as the leading object storage specialist, enabling customers to overcome the inability of traditional file and block storage systems to meet their evolving data management and protection needs,” said Brian Burns, vice president, Asia Pacific, at Cloudian. “Our sales partners play a vital role in helping us bring the benefits of our solutions to users, so we’re thrilled to be working with Networld, an undisputed leader in the Japanese market.”
For more information about Cloudian and the HyperStore solution, visit cloudian.com.
About Networld
As a solution distributor for IT infrastructure, Networld Inc. provides technology products and related services that transform the IT infrastructure of enterprises in the age of cloud computing. The company has been working since its early days on servers, storage and networking, and application and desktop virtualization, to lead the way to what the next generation IT infrastructure should be. https://www.networld.co.jp/
About Cloudian
Cloudian is the most widely deployed independent provider of object storage systems, with the industry’s most advanced S3 compatibility and an extensive partnership ecosystem. Its award-winning flagship solution, HyperStore, provides limitless scalability and cloud-like technology, flexibility and economics in the data center. Cloudian’s global data fabric architecture enables enterprises to store, find and protect object and file data seamlessly across sites, both on-premises and in public clouds, within a single, unified platform. Learn more at cloudian.com.
Networld Media Contact
Tsutaya
pr@networld.co.jp
+ 81-5210-3911
Cloudian Media Contact
Jordan Tewell
10Fold Communications
cloudian@10fold.com
+1 415-666-6066
IT
Traffic4cast competition reveals novel way to predict traffic flow using AI


NeurIPS, Vancouver – The Institute for Advanced Research in Artificial Intelligence (IARAI), an independent global machine-learning research institute established by HERE Technologies, today announced the results and winners of its traffic prediction competition, which aimed to solve mobility challenges using artificial intelligence (AI). Traffic4cast, a unique competition merging movie-prediction machine learning with traffic research, challenged competitors to understand complex traffic systems and make predictions about how they would flow in the future.
The results show how AI can effectively uncover insights to solve traffic gridlock through trial and error of industrial geospatial data from HERE, a leader in mapping and location-based services. Traffic comes about when drivers make simple decisions that lead to complex behavior patterns. These patterns depend on various factors, such as time of day, the road network, congestion situations, holidays, weather conditions and day of the week. Effectively identifying and analyzing traffic patterns lead to more accurate predictions of how traffic would move on given roads at given times of day.
AI, and more specifically neural networks—computer systems modeled on the human brain and nervous system—can help to solve this problem because they are very good at spotting patterns. Neural networks “learn” to do tasks by considering examples, such as datasets, usually without being programmed with task-specific rules. This ability to learn without being programmed means that although neural networks are good at identifying patterns, why they are good at it is unclear. Their inner workings are one of the mysteries of machine learning, the so-called “black box” AI, meaning that the processes cannot be easily understood or tested by programmers.
The Traffic4cast results show that neural networks were the most effective method used at predicting traffic and came closest to simulating the exact traffic flow. All the top entrants used neural networks instead of “non-black box” solutions, such as support vector machines, Bayesian networks and other fixed algorithms. Winners from South Korea, Oxford/Zurich and Toronto were among more than 40 teams from around the world who submitted over 4,000 entries.
Working with HERE, IARAI provided participants with traffic movie clips based on a year’s worth of industrial-scale, real-world data for three diverse cities: Berlin, Istanbul and Moscow. The clips were created using data based on an unprecedented number of over 100 billion probe points from positions reported by a large fleet of probe vehicles. They captured morning, evening and rush-hour traffic. Each movie frame summarized GPS trajectories mapped to spatio-temporal cells. The movies showed multiple color channels characterizing traffic volume, speed and direction.
“This competition is special alone because of the sheer scope and size of the data,” said Sepp Hochreiter, a founding co-director of IARAI and an artificial intelligence pioneer (he invented the long short-term memory (LSTM) neural network framework).
Entrants had to forecast the traffic by completing the next part of each movie clip for all three cities. Contestants were given 285 full training days (full movie for the entire day) and 72 testing days (containing five blocks of 12 consecutive images with at least 30 frames between each such block); the rest were marked out validation sets. Each contestant then had to produce the three consecutive images following each given block of 12 images in each movie file for each day in the test set for each city.
“This competition brought together diverse groups to tackle a fundamental problem—predicting geospatial processes—that lies at the heart of sustainable mass mobility,” said Michael Kopp, head of research at HERE and founding co-director of IARAI. “Guiding the AI revolution to this problem using an interdisciplinary approach via billions of real-life data points is both novel and a paradigm shift that will be reflected in many applied scientific disciplines. The results seem to prove that ‘black box’ machine learning is most effective at solving predictive problems. This gives us a jumping-off point for further research into how AI learns.”
Media Contacts
Jordan Stark
+1 312 316 4537
jordan.stark@here.com
Amy Stupavsky
+49 175 419 1678
amy.stupavsky@here.com
About HERE Technologies
HERE, a location data and technology platform, moves people, businesses and cities forward by harnessing the power of location. By leveraging our open platform, we empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. To learn more about HERE, please visit www.here.com and http://360.here.com.
Attachment
IT
ShiftPixy, Inc. Reports Fiscal 2019 Results


IRVINE, Calif., Dec. 13, 2019 (GLOBE NEWSWIRE) — ShiftPixy, Inc. (NASDAQ: PIXY), a California-based staffing enterprise that designs, manages, and sells access to a disruptive, revolutionary platform that facilitates employment in the rapidly growing Gig Economy, today announced operating results for the year ended August 31, 2019 (“2019”).
2019 Financial Highlights
- Earnings per share improved to $0.57 in 2019 compared to $0.58 for 2018.
- Gross billings grew 59% to $353 million, compared to $222 million for 2018. Q4 billings exceeded $100 million for the first quarter in our history at $105 million for an exit annualized billings rate of over $420 million.
- Revenues increased 53% to $53 million, compared to $35 million for 2018.
- Gross profit was $12.4 million, increasing 125% over 2018 gross profit of $5.5 million due to improving margins and workers compensation cost savings. Gross profit per worksite employee improved to $1,200 for 2019 from $800 for 2018.
- Loss from Operations improved to $9.7 million from $11.6 million in 2018.
- EBITDAS Loss (Operating Loss excluding depreciation and share-based compensation) improved to $8.3 million for 2019 from $11.0 million for 2018 due to improved margins and reduced spending on our mobile application, offset by increased operations costs.
- Investment in our mobile application and technology solution deployment decreased to $4.9 million in 2019 from $7.5 million in 2018 due to reduced costs relating to movement to our new in-sourced development team. Total Human Resource Information System (HRIS) and mobile application investment is $15.5 million to date.
2019 Operational highlights
- The number of employees billed during the year and retained in our employee HRIS exceeded 25,000.
- The active number of worksite employees billed increased to 13,100 at August 31, 2019, a 54% increase, from 8,500 at August 31, 2018.
- Average gross billings per worksite employee increased by 4.3% to $33,600 in 2019 from $32,200 in 2018
- Average operating support costs per billed worksite employee improved in 2019. We have staffed to manage up to 50,000 active worksite employees with our current corporate overhead.
- Our dispute with our outsourced software development partner delayed our HRIS and mobile application launch in 2019 and necessitated our move towards in-house development.
“We continue to see strong growth in our legacy business which has driven top line expansion and improvement in our operating metrics, including gross billings and gross profits for 2019,” stated Chief Executive Officer, Scott Absher. ”Delays in the launch of our mobile application solution are now behind us and the project is now back on track and well received by our initial launch customers. We believe it will support revenue growth in 2020 from both significantly higher worksite employee counts and added technology features. The reception from our target customers has been phenomenal and we expect to see a significant increase in our business activity levels as we move into calendar 2020 and continue our focus on creating long-term shareholder value.”
About ShiftPixy
ShiftPixy is a disruptive human capital services enterprise, revolutionizing employment in the Gig Economy by delivering a next-gen platform for workforce management that helps businesses with shift-based employees navigate regulatory mandates, minimize administrative burdens and better connect with a ready-for-hire workforce. With expertise rooted in management’s nearly 25 years of workers’ compensation and compliance programs experience, ShiftPixy adds a needed layer for addressing compliance and continued demands for equitable employment practices in the growing Gig Economy. ShiftPixy’s complete HCM ecosystem is designed to manage regulatory requirements and compliance in such required areas as paid time off (PTO) laws, insurance and workers’ compensation, minimum wage increases, and the Affordable Care Act (ACA) compliance.
ShiftPixy Cautionary Statement
The information provided in this release includes forward-looking statements, the achievement or success of which involves risks, uncertainties, and assumptions. Although such forward-looking statements are based upon what management of the Company believes are reasonable assumptions, there can be no assurance that forward-looking statements will prove to be accurate. If any of the risks or uncertainties, including those set forth below, materialize or if any of the assumptions proves incorrect, the results of ShiftPixy, Inc., could differ materially from the results expressed or implied by the forward-looking statements we make. The risks and uncertainties include, but are not limited to, risks associated with the nature of our business model; our ability to execute the Company’s vision and growth strategy; our ability to attract and retain clients; our ability to assess and manage risks; changes in the law that affect our business and our ability to respond to such changes and incorporate them into our business model, as necessary; our ability to insure against and otherwise effectively manage risks that affect our business; competition; reliance on third-party systems and software; our ability to protect and maintain our intellectual property; and general developments in the economy and financial markets. Statements made in connection with any guidance may refer to financial statements that have not been reviewed or audited. The Company undertakes no obligation to update forward-looking statements if circumstances or management’s estimates or opinions should change, except as required by applicable securities laws. The information in this press release shall not be deemed to be “filed” for the purpose of Section 18 of the Securities Exchange Act of 1934, as amended, or otherwise subject to the liabilities of that section, and will not be deemed an admission as to the materiality of any information that is required to be disclosed solely by Regulation FD. Further information on these and other factors that could affect the financial results of ShiftPixy, Inc., is included in the filings on Forms 1-A and 10-Q and in other filings we make with the Securities and Exchange Commission from time to time. These documents are available on the “SEC Filings” subsection of the “Investor Information” section of our website at https://ir.shiftpixy.com/financial-information/sec-filings.
Consistent with the SEC’s April 2013 guidance on using social media outlets like Facebook and Twitter to make corporate disclosures and announce key information in compliance with Regulation FD, ShiftPixy is alerting investors and other members of the general public that ShiftPixy will provide updates on operations and progress required to be disclosed under Regulation FD through its social media on Facebook, Twitter, LinkedIn and YouTube. Investors, potential investors, shareholders and individuals interested in our Company are encouraged to keep informed by following us on Facebook, Twitter, LinkedIn and YouTube.
INVESTOR CONTACT:
InvestorRelations@shiftpixy.com
800.475.3655
ShiftPixy Inc.
Consolidated Balance Sheets
August 31, 2019 |
August 31, 2018 |
|||||||
ASSETS | ||||||||
Current assets | ||||||||
Cash | $ | 1,561,000 | $ | 1,650,000 | ||||
Accounts receivable | 272,000 | 111,000 | ||||||
Unbilled accounts receivable | 9,478,000 | 6,193,000 | ||||||
Deposits-workers’ compensation | 1,957,000 | 1,672,000 | ||||||
Prepaid expenses | 519,000 | 563,000 | ||||||
Other current assets | 244,000 | 259,000 | ||||||
Total current assets | 14,031,000 | 10,447,000 | ||||||
Fixed assets, net | 3,360,000 | 3,032,000 | ||||||
Deposits- workers’ compensation | 6,281,000 | 2,202,000 | ||||||
Deposits and other assets | 124,000 | 121,000 | ||||||
Total assets | $ | 23,796,000 | $ | 15,802,000 | ||||
LIABILITIES AND STOCKHOLDERS’ DEFICIT | ||||||||
Current liabilities | ||||||||
Accounts payable | $ | 3,061,000 | $ | 1,246,000 | ||||
Accrued payroll and related liabilities | 16,412,000 | 9,477,000 | ||||||
Convertible Notes, Net | 3,351,000 | 6,171,000 | ||||||
Derivative liability | 3,756,000 | – | ||||||
Accrued workers’ compensation costs | 1,957,000 | 305,000 | ||||||
Default penalties accrual | 1,800,000 | 3,500,000 | ||||||
Other current liabilities | 1,850,000 | 1,956,000 | ||||||
Total current liabilities | 32,187,000 | 22,656,000 | ||||||
Noncurrent liabilities | ||||||||
Accrued workers’ compensation costs | 4,379,000 | 901,000 | ||||||
Total liabilities | 36,566,000 | 23,557,000 | ||||||
Commitments and contingencies | ||||||||
Stockholders’ deficit | ||||||||
Preferred stock, 50,000,000 authorized shares; $0.0001 par value; no shares issued and outstanding | – | – | ||||||
Common stock, 750,000,000 authorized shares; $0.0001 par value; 36,281,894 and 28,851,787 shares issued as of August 31, 2019 and 2018, respectively | 4,000 | 3,000 | ||||||
Additional paid-in capital | 32,501,000 | 18,465,000 | ||||||
Treasury stock, at cost – 558,132 shares and no shares as of August 31, 2019 and 2018, respectively | (325,000 | ) | – | |||||
Accumulated deficit | (44,950,000 | ) | (26,223,000 | ) | ||||
Total stockholders’ deficit | (12,770,000 | ) | (7,755,000 | ) | ||||
Total liabilities and stockholders’ deficit | $ | 23,796,000 | $ | 15,802,000 |
ShiftPixy Inc.
Consolidated Statements of Operations
For the Years Ended | ||||||||
August 31, 2019 |
August 31, 2018 |
|||||||
Revenues (gross billings of $352.6 million and $222.4 million (unaudited) less worksite employee payroll cost of $299.2 million and $187.5 million, (unaudited) respectively) | $ | 53,436,000 | $ | 34,959,000 | ||||
Cost of revenue | 41,046,000 | 29,458,000 | ||||||
Gross profit | 12,390,000 | 5,500,000 | ||||||
Operating expenses: | ||||||||
Salaries, wages and payroll taxes | 7,702,000 | 5,383,000 | ||||||
Share-based compensation – general and administrative | 632,000 | 363,000 | ||||||
Commissions | 2,732,000 | 1,594,000 | ||||||
Professional fees | 3,918,000 | 2,078,000 | ||||||
Software development | 1,209,000 | 3,828,000 | ||||||
Marketing and advertising | 1,208,000 | 547,000 | ||||||
General and administrative | 3,823,000 | 3,005,000 | ||||||
Depreciation and amortization | 839,000 | 274,000 | ||||||
Total operating expenses | 22,063,000 | 17,072,000 | ||||||
Operating Loss | (9,673,000 | ) | (11,572,000 | ) | ||||
Other income (expense) | ||||||||
Interest expense | (8,507,000 | ) | (1,751,000 | ) | ||||
Loss on debt extinguishment | (3,927,000 | ) | – | |||||
Change in fair value of derivative | 2,569,000 | – | ||||||
Gain (Loss) associated with note defaults, net | 811,000 | (3,500,000 | ) | |||||
Total Other income (expense) | (9,054,000 | ) | (5,251,000 | ) | ||||
Net Loss | $ | (18,727,000 | ) | $ | (16,823,000 | ) | ||
Net loss per common share | ||||||||
Basic and diluted | $ | (0.57 | ) | $ | (0.58 | ) | ||
Weighted average number of common shares | ||||||||
Basic and diluted | 32,708,800 | 28,810,103 |
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