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TNL Mediagene to Present at the Emerging Growth Conference on May 21-22, Provides Valuation Update

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NEW YORK and TOKYO, May 19, 2025 /PRNewswire/ — TNL Mediagene (Nasdaq: TNMG, the “Company”), a Tokyo-based next-generation digital media and data group in Asia, will present and host one-on-one meetings with investors at the Emerging Growth Conference, taking place on May 21-22, 2025. 

Co-Founder & CEO Joey Chung and Co-Founder & President Motoko Imada will be present at the event to give a presentation of the business and conduct one-on-one meetings with investors to discuss the Company’s recently announced strong FY2024 performance of consolidated revenue of $48.5 million, gross profit of $17.7 million, near break-even Adjusted EBITDA and Adjusted EPS of negative $0.035 per share; Strategic Expansion Plan, including its Global Talent Management and Strategic M&A pillars; as well as provide key updates on the business including:

Launch of Business Insider Taiwan* in 2025: a large high-quality, high-visibility and customer-valued property that has the potential to reach the entire Mandarin language market, not only in Taiwan but globally – a market that the Company views as large and lucrative in terms of numbers and that has the potential to drive significant revenue.

Strategic Partnership with PChome Online: Taiwan’s leading E-commerce platform, PChome Online is a high-visibility, high-traffic marketplace both in Taiwan and Asia more broadly. The platform is similar in function to Amazon and generates USD billions of GMV sales per year across millions of SKUs. The Company considers this partnership as a big potential revenue opportunity and an opportunity to access valuable first-party retail data for monetization.

Co-Hosting the 2025 Generative AI Dual Conference: Taiwan’s premier AI event, bringing together over 1,000 industry participants. Co-hosting this event provides a big boost in visibility for the Company, recognizing it as one of the key architects of Taiwan’s AI industry and providing significant follow-on business opportunities.

The presentation will begin at 9:05am ET on May 22, 2025. To register for the presentation please use the following link: https://goto.webcasts.com/starthere.jsp?ei=1709483&tp_key=7518636947&sti=tnmg

“This is a conference that we are very excited to be joining. We’ll be discussing a lot of interesting recent milestones for the company and as well as giving an overview of our FY2024 financial performance and some general business updates. This is a great opportunity for those who are already familiar with us to hear what we’ve been up to lately as well as for those who might not yet know us to have a formal introduction. We welcome investors, professional parties and the public to join us at the Emerging Growth Conference,” Co-Founder & CEO Joey Chung said.

Ahead of the Emerging Growth Conference, the Company also provided its reference comparables valuation overview that management uses for its valuation benchmarking, included in the Company’s investor presentation.

Attractive Valuation vs. Reference Comparables: The Company is currently trading at an EV/Revenue discount to reference median multiples of 3.5x in AdTech and 5.8x in Digital & Social Media. The Company’s management believes the Company is currently undervalued.

“We are proud of our scale of nearly $50 million in consolidated revenue at near break-even Adjusted EBITDA; our leading positions in the markets in which we are operating in, both in Japan and Taiwan; the quality of our partnerships that we’ve been able to secure as well as our prestigious client base that includes leading multinational companies and strong regional players,” Joey remarked.

“We thank our investors who have supported us over our 26-year history in Japan and 12-year history in Taiwan and we look forward to welcoming new investors into our company,” Joey concluded.

*The name “Business Insider Taiwan” used in this release is a provisional designation for convenience. The official name will be determined at a later date.

About the Emerging Growth Conference
The Emerging Growth conference is an effective way for public companies to present and communicate their new products, services and other major announcements to the investment community from the convenience of their office, in a time efficient manner. The Conference focus and coverage includes companies in a wide range of growth sectors, with strong management teams, innovative products & services, focused strategy, execution, and the overall potential for long term growth. Its audience includes potentially tens of thousands of individual and institutional investors, as well as investment advisors and analysts. All sessions will be conducted through video webcasts and will take place in the Eastern time zone.

Financial Data
The condensed financial information presented in this press release should be read in conjunction with the audited consolidated financial statements and related notes for the year ended December 31, 2024 included in TNL Mediagene’s annual report on Form 20-F filed with the SEC on April 30, 2025, which provides a more complete discussion of its accounting policies and certain other information.

Use and Reconciliation of Non-IFRS Financial Measures
In this press release, we have included adjusted EBITDA, a non-IFRS financial measure, and adjusted EPS, a non-IFRS measure, which are key measures used by our management and board of directors in evaluating our operating performance.

Adjusted EBITDA and adjusted EPS are our preferred metrics for profitability because we believe they facilitate operating performance and profit performance comparisons on a period-to-period basis and exclude items that we do not consider to be indicative of our core operating performance.

Adjusted EBITDA and adjusted EPS have limitations as analytical tools, and you should not consider it in isolation or as a substitute for analysis of our results as reported under IFRS. Some of these limitations are:

although amortization and depreciation are non-cash charges, the assets being amortized and depreciated may have to be replaced in the future, and adjusted EBITDA and adjusted EPS do not reflect cash capital expenditure requirements for such replacements or for new capital expenditure requirements;adjusted EBITDA and adjusted EPS do not reflect changes in, or cash requirements for, our working capital needs;adjusted EBITDA and adjusted EPS do not reflect the potentially dilutive impact of equity-based compensation; andother companies, including our competitors in various industries, may calculate adjusted EBITDA and adjusted EPS or similarly titled measures differently, which reduces its usefulness as a comparative measure.

We define adjusted EBITDA as profit (loss) for the period excluding (i) non-cash items such as depreciation expenses, amortization expenses, stock-based compensation expenses and impairment loss on intangible assets and (ii) extraordinary items associated with one-time events and transactions, such as one-time transaction-related expenses not eligible for capitalization.

We define adjusted EPS as profit (loss) for the period excluding (i) non-cash items such as depreciation expenses, amortization expenses, stock-based compensation expenses and impairment loss on intangible assets and (ii) extraordinary items associated with one-time events and transactions, such as one-time transaction-related expenses not eligible for capitalization, extraordinary finance costs and related commitment fees.

Our management does not consider adjusted EBITDA or adjusted EPS in isolation or as an alternative to financial measures determined in accordance with IFRS. The principal limitation of adjusted EBITDA and adjusted EPS is that they exclude significant expenses that are required by IFRS to be recorded in TNL Mediagene’s financial statements. In addition, adjusted EBITDA and adjusted EPS are subject to inherent limitations as they reflect the exercise of judgment by management about which expenses and income are excluded or included in determining such non-IFRS financial measures.

For more details on the definitions of adjusted EBITDA and adjusted EPS and reconciliations of adjusted EBITDA and adjusted EPS to IFRS financial measures, see the press release and the investor presentation TNL Mediagene released on May 13, 2025.

About TNL Mediagene
Headquartered in Tokyo, TNL Mediagene was formed in May 2023 through the merger of Taiwan’s The News Lens Co. and Japan’s Mediagene Inc., two of the region’s leading independent digital media groups. The company’s operations span original and licensed media brands in Japanese, Chinese, and English, covering topics such as news, business, technology, science, food, sports, and lifestyle. It also offers AI-driven advertising services, marketing technology platforms, e-commerce, and innovative solutions tailored to the needs of advertising agencies. Known for its political neutrality, appeal to younger audiences, and high-quality content, TNL Mediagene has approximately 500 employees across Asia, with offices in Japan, Taiwan, and Hong Kong.

https://www.tnlmediagene.com/

Cautionary Statement Regarding Forward-Looking Statements
This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, that are based on beliefs and assumptions and on information currently available to TNL Mediagene. Forward-looking statements generally relate to future events or TNL Mediagene’s future financial or operating performance. In some cases, you can identify forward-looking statements by the following words: “may,” “will,” “could,” “would,” “should,” “expect,” “intend,” “plan,” “anticipate,” “believe,” “estimate,” “predict,” “project,” “potential,” “continue,” “ongoing,” “target,” “seek” or the negative or plural of these words, or other similar expressions that are predictions or indicate future events or prospects, although not all forward-looking statements contain these words. Forward-looking statements in this communication include, but are not limited to, statements in the section entitled “2025 Initiatives and Outlook” and “Management Commentary” such as statements about TNL Mediagene’s future business plan and growth strategies and statements by TNL Mediagene’s CEO and president. Any statements that refer to expectations, projections or other characterizations of future events or circumstances, including strategies or plans, are also forward-looking statements. These statements involve risks, uncertainties and other factors that may cause actual results, levels of activity, performance or achievements to be materially different from those expressed or implied by these forward-looking statements. Forward-looking statements in this communication or elsewhere speak only as of the date made. New uncertainties and risks arise from time to time, and it is impossible for TNL Mediagene to predict these events or how they may affect TNL Mediagene. In addition, risks and uncertainties are described in TNL Mediagene’s filings with the Securities and Exchange Commission. These filings may identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. TNL Mediagene cannot assure you that the forward-looking statements in this communication will prove to be accurate. There may be additional risks that TNL Mediagene presently does not know or that TNL Mediagene currently does not believe are immaterial that could also cause actual results to differ from those contained in the forward-looking statements. In light of the significant uncertainties in these forward-looking statements, you should not regard these statements as a representation or warranty by TNL Mediagene, its directors, officers or employees or any other person. Except as required by applicable law, TNL Mediagene does not have any duty to, and does not intend to, update or revise the forward-looking statements in this communication or elsewhere after the date of this communication. You should, therefore, not rely on these forward-looking statements as representing the views of TNL Mediagene as of any date subsequent to the date of this communication.

 

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SOURCE TNL Mediagene

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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