Artificial Intelligence
Datametrex Reports Record Quarterly Financial Results
TORONTO, Aug. 27, 2020 (GLOBE NEWSWIRE) — Datametrex AI Limited (the “Company” or “Datametrex”) (TSXV: DM, FSE: D4G, OTC: DTMXF) is pleased to announce record second quarter 2020 (“Q2”) financial and operating results. All currency is in Canadian dollars, unless otherwise stated. All results are reported on a 100% basis.
From the beginning of June, the Company started to generate revenues from selling of COVID-19 test kits, and its traditional cyber security AI business expanded. This attributed to record quarterly revenue of $1.9M with a greatly improved cash position.
The company’s revenue increased by 419% in Q2 compared to the same period of last year. The Company’s cash position improved significantly, $577,998 compared to $119,675 at the end of 2019. The net loss improved with a decrease by 17% ($868,478) compared ($1,011,962) to the same period of last year. There was a $573,250 option issuance expense and $185,078 Depreciation and Amortization expense, which are non-cash based expenses.
Excluding these expenses, the Company was close to break-even. This is reflected in adjusted EBITDA. The Adjusted EBITDA showed a significant improvement. decreasing by 775%, ($96,126) compared to ($841,500) in the same period of last year.
“In Q2 2020, the Company achieved multiple key milestones, a significant increase in gross revenue and improvement in its cash position. This positive outcome was a direct result of our quick response in implementing a plan to begin selling test kits as result of the global impact of the COVID-19 virus. This resulted in a substantial improvement to the bottom line,” says Marshall Gunter, CEO of the Company.
Outlook
The Company has a number of potential contracts that it is pursuing and anticipates it will have answers on in Q3. Datametrex is in final stages of a COVID-19 test kit supply agreement with a U.S. Government agency. Under the terms of the agreement, the Company will supply 120,000 1copy™ COVID-19 qPCR Multi kit every two weeks for six months.
Datametrex is in final stages of a COVID-19 testing supply agreement to test all landed passenger and crew from cruise ships making a port of call for the Caribbean country of Antigua using the 1copy™ COVID-19 qPCR Multi kit. Under the terms of the agreement, the Company will supply around 6,000 test kits per day and will also supply the latest Polymerase Chain Reaction (PCR) machine (qTOWER3 PCR) to reduce inspection time and lead time. Before landing at the cruise terminal, the cruise line will distribute alphanumeric labels to each passenger and present labels to technicians along with boarding passes and passports at the COVID-19 testing and temperature testing station set up in a passageway exiting the ship.
Datametrex is also in different stages of negotiation on supply agreements for both COVID-19 test kits along with suppling the latest PCR machines (qTOWER3 PCR) with other countries worldwide for mining, education institutions, health agencies, film and TV productions and cruise industry.
Highlights for Q2 2020
- Recognized revenue of $2.7 million for the six-month 2020 period compared to $875 thousand in same period 2019, of which $1.9 million was earned in the second quarter.
- The Company started securing and delivering purchase orders of COVID-19 test kits and generated $1.4 million COVID-19 related revenue in Q2 2020 compared to $0 in Q2 2019.
- The Company has received $1.8 million from the exercise of share purchase warrants and options.
- The Company introduced Nexalogy’s Social Media Automated Reporting Technologies.
- The Company completed the second phase of a multi-phase R&D program through the Department of National Defence’s Innovation for Defence Excellence and Security IDEaS program.
Financial Highlights
The following table summarizes revenue, net loss and EBITDA* and Adjusted EBITDA* for the three and six months ended June 30, 2020 and 2019.
Three months ended June 30, |
Six months ended June 30, |
||||||||||||||||
2020 | 2019 | % | 2020 | 2019 | % | ||||||||||||
$ | $ | $ | $ | ||||||||||||||
Revenue | 1,954,394 | 376,518 | 419 | % | 2,763,796 | 875,083 | 216 | % | |||||||||
Net loss | (868,478 | ) | (1,011,962 | ) | 17 | % | (1,590,239 | ) | (1,916,754 | ) | 21 | % | |||||
EBITDA* | (669,376 | ) | (830,227 | ) | 24 | % | (1,197,679 | ) | (1,553,756 | ) | 30 | % | |||||
EBITDA per share* | (0.003 | ) | (0.004 | ) | 73 | % | (0.005 | ) | (0.007 | ) | 71 | % | |||||
Adjusted EBITDA* | (96,126 | ) | (841,500 | ) | 775 | % | (353,429 | ) | (1,553,756 | ) | 340 | % | |||||
Adjusted EBITDA per share* | (0.0004 | ) | (0.004 | ) | 10 | % | (0.001 | ) | (0.007 | ) | 21 | % |
* Note: EBITDA ( non- IFRS measures) is calculated as Net Loss adjusted for 1. Income taxes, 2. Depreciation and amortization, and 3. Interest and accretion. Adjusted EBITDA (non-IFRS measures) is calculated as EBITFA adjusted for share based compensation.
Non-IFRS financial measures do not have standardized meaning prescribed by IFRS 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-IFRS financial measures please refer to the Company’s Management Discussion and Analysis for the six months ended June 30, 2020.
The Company’s Financial Statements and Management Discussion & Analysis (“MD&A”) are at SEDAR at www.sedar.com.
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 Health and Safety goals with predictive and preventive technologies. By working with companies to set a new standard of protocols through Artificial Intelligence and health diagnostics, the Company provides progressive solutions to support the supply chain.
Additional information on Datametrex is available at www.datametrex.com.
For further information, please contact:
Marshall Gunter – CEO
Phone: (514) 295-2300
Email: [email protected]
Forward-Looking Statements
This news release contains “forward-looking information” within the meaning of applicable securities laws. All statements contained herein that are not clearly historical in nature may constitute forward-looking information. In some cases, forward-looking information can be identified by words or phrases such as “may”, “will”, “expect”, “likely”, “should”, “would”, “plan”, “anticipate”, “intend”, “potential”, “proposed”, “estimate”, “believe” or the negative of these terms, or other similar words, expressions and grammatical variations thereof, or statements that certain events or conditions “may” or “will” happen, or by discussions of strategy.
Readers are cautioned to consider these and other factors, uncertainties and potential events carefully and not to put undue reliance on forward-looking information. The forward-looking information contained herein is made as of the date of this press release and is based on the beliefs, estimates, expectations and opinions of management on the date such forward-looking information is made. The Company undertakes no obligation to update or revise any forward-looking information, whether as a result of new information, estimates or opinions, future events or results or otherwise or to explain any material difference between subsequent actual events and such forward-looking information, except as required by applicable law.
Artificial Intelligence
LambdaTest launches LambdaTest extension for GitHub Copilot to make test automation pervasive across SDLC and drive developer productivity
NOIDA, India and SAN FRANCISCO, May 22, 2024 /PRNewswire/ — LambdaTest extension for GitHub Copilot enables AI-powered bridge experiences by seamlessly integrating test and dev workflow. It acts as a test automation copilot, assisting developers with quality assurance capabilities across different stages in SDLC, right where they code.
May 22, 2024, Noida/San Francisco: LambdaTest, a leading cloud-based unified testing platform, announced the launch of the LambdaTest extension for GitHub Copilot. This innovative capability revolutionizes the way developers manage and execute test workflows within their integrated development environments (IDEs).
The LambdaTest extension seamlessly integrates with GitHub Copilot Chat bridging the gap between development and testing workflows. Developers can now trigger test execution directly from their GitHub and VS Code environment, eliminating the need to switch between multiple applications. This streamlined process enhances productivity and accelerates software delivery.
With LambdaTest extension, developers can initiate tests effortlessly with a simple command, bringing testing closer to their code. This capability not only saves time but also enhances collaboration among development and testing teams by providing a unified platform for managing quality software releases, faster.
Moreover, real-time feedback integrated into GitHub Copilot empowers developers to iterate more efficiently, at speed, ensuring the quality and stability of their codebase. By conveniently viewing regression run results within their coding environment, developers and testers can quickly identify and address potential issues or bugs, facilitating faster resolution and delivery of high-quality software.
“LambdaTest Extension for GitHub Copilot is a huge milestone in our commitment to enable devs and QA processionals worldwide with frictionless experiences to accelerate software delivery.,” said Mohit Juneja, VP, Strategic Sales and Partnerships, LambdaTest. “Gone are the days of switching between multiple applications; now, developers can design, trigger, and analyze tests with simple prompts in natural language, without switching context from the IDE.”
The benefits of the LambdaTest extension extend beyond just test execution. It also offers powerful analysis tools, allowing developers to dive deep into test data, identify trends, and make data-driven decisions to continuously improve code quality and stability.
LambdaTest remains committed to driving innovation in the field of software testing, and this capability is another testament to that commitment. By providing developers and testers with tools to streamline processes and deliver high-quality software efficiently, LambdaTest continues to support and empower software development teams worldwide.
The LambdaTest extension for GitHub Copilot is now available for developers and testers. To learn more and get started, visit https://github.blog/2024-05-21-introducing-github-copilot-extensions
About LambdaTest LambdaTest is an intelligent and omnichannel enterprise execution environment that helps businesses drastically reduce time to market through Just in Time Test Orchestration (JITTO), ensuring quality releases and accelerated digital transformation. Over 10,000+ enterprise customers and 2+ million users across 130+ countries rely on LambdaTest for their testing needs.
Browser & App Testing Cloud allows users to run both manual and automated tests of web and mobile apps across 3000+ different browsers, real devices, and operating system environments.HyperExecute helps customers run and orchestrate test grids in the cloud for any framework and programming language at blazing-fast speeds to cut down on quality test time, helping developers build software faster.For more information, please visit, https://lambdatest.com
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Artificial Intelligence
DeepL announces $300 million investment at $2 billion valuation fueled by global demand for AI language solutions
Index Ventures led heavily oversubscribed round with participation from late-stage investment firms ICONIQ Growth, Teachers’ Venture Growth, and more Rapid enterprise adoption of DeepL has fueled the company’s growth in 60+ global markets for 100,000+ businesses, governments, and other organizationsDeepL’s Language AI Platform for business provides category-leading AI-powered translation and writing solutions COLOGNE, Germany, May 22, 2024 /PRNewswire/ — DeepL, a leading Language AI company, today announced $300 million of investment at a $2 billion valuation. Led by Index Ventures, the heavily oversubscribed round attracted strong support from new investors, who will bring their extensive expertise, connections, and resources to support DeepL’s growth and long-term vision to transform the way companies communicate around the world. Additional late-stage investors, including ICONIQ Growth, Teachers’ Venture Growth, and others, also participated, along with existing investors IVP, Atomico, and WiL.
“We’re approaching an inflection point in the AI boom where businesses who are racing to adopt the technology begin to discern between hype versus solutions that are secure and actually solve real problems in their business,” said Jarek Kutylowski, founder and CEO of DeepL. “This new investment comes during what is on track to be DeepL’s most transformative year yet and is a testament to the crucial role that our Language AI platform has in solving the complex linguistic challenges global companies face today. We’re highly focused on continued growth and innovation to expand our solutions and ensure they remain industry-leading in terms of quality, precision, and security. This will bring us closer to a future where every company, regardless of location, can operate seamlessly on a global scale with our AI.”
The new investment comes during a period of significant growth and momentum for DeepL, which has amassed a customer network of 100,000+ businesses, governments, and other organizations worldwide. This network includes Zendesk, Nikkei, Coursera, and Deutsche Bahn, who rely on its highly accurate and secure enterprise Language AI platform to deliver seamless communication, driving international growth and cost savings. In response to surging demand from global enterprises, DeepL has accelerated its expansion efforts and strategic investments into key markets over the past year. In January 2024, DeepL deepened its commitment to the U.S.—now its third largest market—by opening its first office in the region. The company continues to expand its team in the U.S. to support growing demand.
Within the last 12 months, DeepL has also substantially broadened its product offerings tailored for businesses. In April 2024, the company launched DeepL Write Pro, a writing assistant specifically tailored for business writing, powered by its own proprietary LLM technology. The company also continues to expand the range of languages supported by its platform with the recent additions of Arabic, as well as Korean and Norwegian, bringing its total number of languages to 32.
“DeepL’s runaway success is a bit of an ‘open secret’ in the business community,” said Danny Rimer, who led the investment from Index Ventures. “The company is exceptionally thoughtful about creating cutting-edge AI products that deliver real and immediate value to their customers. Jarek and the rest of the DeepL team are equally research and commercially minded – both of which are key to the company’s success.” Index Ventures is recognized for its investments in highly successful SaaS businesses like Figma, Slack, Wiz, and Scale AI.
Demand for AI solutions among global enterprises is on the rise. A recent IBM study found that 42% are already actively deploying AI and 40% are exploring its potential. Within this rapidly evolving landscape, DeepL is leading the way in applying AI to transform the $67.9 billion language industry, which is projected to grow to $95.3 billion by 2028.
Since its inception in 2017, DeepL has become the Language AI provider of choice for businesses across multiple industries including manufacturing, legal, retail, healthcare, technology, and professional services. The company’s specialized Language AI platform has become a critical investment for global businesses today, addressing a variety of communication challenges ranging from internal communications to customer support and international market expansion. Unlike general-purpose AI systems, DeepL’s cutting-edge translation and writing solutions rely on specialized AI models specifically tuned for language, resulting in more precise translations for a variety of use cases and a reduced risk of hallucinations and misinformation. In business translation and writing, accuracy is paramount, making specialized AI models the most reliable and preferred solution for language challenges.
DeepL’s Language AI platform is also proven to drive significant cost savings and efficiencies. A 2024 Forrester study revealed that the use of DeepL delivered 345% ROI for global companies, reducing translation time by 90% and driving a 50% in workload reduction, underscoring, in our opinion, the power of its platform for businesses looking to grow their revenue and enter new markets faster and at scale.
“At Zendesk we see first hand the power of infusing AI tools into customer experience, and DeepL’s industry-leading translation is a prime example,” said Adrian McDermott, CTO, Zendesk. “The ability to have accurate AI translation allows companies from startups to large enterprises the ability to scale globally, reaching prospects and existing customers in new ways. Zendesk’s open and flexible platform allows for seamless partnerships, and the tangible results we’ve seen so far from joint customers have us looking forward to continued work with DeepL.”
Looking ahead, DeepL will continue to invest in research and product innovation to strengthen its suite of leading AI communication tools for businesses. The company is also doubling down on global market expansion and talent recruitment across multiple areas including AI research, product, engineering, and GTM.
About DeepLDeepL is on a mission to break down language barriers for businesses everywhere. Over 100,000 businesses, governments and other organizations and millions of individuals in 63 global markets trust DeepL’s Language AI platform for human-like translation and better writing. Designed with enterprise security in mind, companies around the world leverage DeepL’s AI solutions that are specifically tuned for language to transform business communications, expand markets and improve productivity. Founded in 2017 by CEO Jaroslaw (Jarek) Kutylowski, DeepL today has over 900 passionate employees and is supported by world-renowned investors including Benchmark, IVP and Index Ventures.
Contact:Sebastian RiesOpeners [email protected]+49 1578 058 8488
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Artificial Intelligence
Hyundai Motor and Plus Announce Collaboration to Demonstrate First Level 4 Autonomous Fuel Cell Electric Truck in the U.S.
Hyundai Motor and Plus collaboration aims to enhance road safety and freight efficiencies by demonstrating benefits of XCIENT Fuel Cell truck equipped with Plus’s Level 4 autonomous driving softwareHyundai Motor’s Class 8 XCIENT Fuel Cell truck featuring Plus’s Level 4 SuperDrive™ system is on display at the Plus ACT Expo booth (#2044)LAS VEGAS and SEOUL, South Korea, May 22, 2024 /PRNewswire/ — Hyundai Motor Company (Hyundai Motor) and autonomous driving software leader Plus today unveiled the first Level 4 autonomous Class 8 hydrogen fuel cell electric truck in the U.S. at the Advanced Clean Transportation (ACT) Expo, the largest advanced clean transportation technology and fleet event in North America.
A result of the collaboration between Hyundai Motor and Plus, Hyundai Motor’s XCIENT Fuel Cell truck, equipped with Plus SuperDrive™ Level 4 autonomous driving technology, is on display at the Plus ACT Expo booth (#2044).
The Level 4 autonomous XCIENT Fuel Cell truck is undergoing initial autonomous driving assessments in the U.S., making it the first-ever Level 4 self-driving test on a Class 8 fuel cell electric truck to take place in the country. The collaboration seeks to show that autonomous hydrogen fuel cell trucks can help make trucking safer, more efficient, and more sustainable.
“We are excited to showcase our collaboration with Plus to test Level 4 autonomous driving technology with our Class 8 XCIENT Fuel Cell truck,” said Martin Zeilinger, Executive Vice President and Head of Commercial Vehicle Development at Hyundai. “Hyundai Motor has been driving the energy transition paradigm with our advanced fuel cell technologies. By adding autonomous capabilities to our world’s first mass-produced hydrogen-powered XCIENT Fuel Cell truck, Hyundai is looking forward to providing fleets and vehicle operators additional solutions that enhance road safety and freight efficiencies thanks to Plus’s industry-leading autonomous driving technology.”
First introduced in 2020, Hyundai Motor’s XCIENT Fuel Cell truck has conducted commercial operations in eight countries worldwide, establishing a successful track record of real-world applications and technological reliability.
At last year’s ACT Expo, Hyundai introduced XCIENT Fuel Cell tractor, the commercialized Class 8 6×4 fuel cell electric model, powered by two 90kW hydrogen fuel cell systems and a 350kW e-motor, providing a driving range of over 450 miles per charge even when fully loaded.
Plus’s SuperDrive™ solution is being deployed across the U.S., Europe, and Australia. The system uses a combination of cutting-edge sensors, including LiDAR, radar and cameras, to provide surround perception, planning, prediction and self-driving capabilities.
“We are thrilled to collaborate with Hyundai Motor Company on this important initiative to create more sustainable and safe transportation options. A decarbonized future with autonomous hydrogen fuel cell electric trucks that also improve safety and efficiency is one that Plus is proud to support with our cutting-edge autonomous driving technology,” said Shawn Kerrigan, COO and Co-Founder at Plus.
Hyundai Motor and Plus have released a video highlighting their collaboration, which can be seen here: https://www.youtube.com/watch?v=_d19h_v7abo.
About Hyundai Motor Company
More information about Hyundai Motor and its products can be found at: https://www.hyundai.com/worldwide/en/ or Newsroom: Media Hub by Hyundai
About Plus
For more information, visit http://www.plus.ai/.
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