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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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BinBase Expands 2026 BIN Dataset with Instant Payout Intelligence for iGaming, Gambling, and Cross-Border Transfers

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BinBase updates its 2026 dataset with specialized Fast Funds, Visa Direct, and Mastercard MoneySend indicators to help iGaming operators and payout platforms execute seamless, instant card disbursements.

MIAMI, July 23, 2026 /PRNewswire-PRWeb/ — BinBase, a global provider of payment routing intelligence and card issuing data, has introduced specialized instant payout indicators as part of its upgraded 2026 BIN Database. Tailored for iGaming operators, online gambling platforms, crypto-to-fiat ramps, and payout aggregators, the updated dataset helps platform engineers streamline real-time card disbursements and Push-to-Card (P2C) transactions.

In high-velocity sectors such as online betting and gaming, instantaneous player payouts are a primary driver of customer retention. However, executing Push-to-Card transactions through protocols like Visa Direct and Mastercard MoneySend requires knowing whether the receiving card issuer supports Fast Funds for specific merchant category codes (MCCs). Attempting instant payouts on non-eligible cards leads to declined transactions, elevated processing fees, and poor user experiences.

The 2026 BinBase release solves this operational bottleneck by delivering dedicated attributes for real-time fund disbursements:

Fast Funds Eligibility: Granular indicators identifying domestic and cross-border Fast Funds support across global Visa and Mastercard ranges.Online Gambling Fast Funds (OG FF): Dedicated flags specifically identifying card ranges authorized to receive real-time gambling and betting payouts.Mastercard MoneySend & Visa Direct Indicators: Precise protocol compatibility markers (MS Ind & MT Ind) ensuring push transactions are routed only to eligible recipient cards.Direct Debit & Pull-Funds Support: Indicators for recurring collections and account-funding transactions.

“Player payouts in iGaming cannot wait for standard 2-to-3-day ACH settlements,” said a spokesperson for Damiko Inc. “By embedding our Fast Funds and Gambling FF flags into their payment engines, operators can instantly validate recipient cards before initiating a transfer, guaranteeing high success rates and instant liquidity for their users.”

Fintech engineers and payout architects can examine the full 29-field database schema and access a free 2026 sample dataset on GitHub.

To explore commercial licensing, bulk database downloads, or custom data feeds, visit BinBase at https://binbase.com.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate processing fees.

Media Contact
Fedor Lavrikoff, BinBase, 1 7866133334, sales@binbase.com, www.binbase.com 

View original content:https://www.prweb.com/releases/binbase-expands-2026-bin-dataset-with-instant-payout-intelligence-for-igaming-gambling-and-cross-border-transfers-302829344.html

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Walnut Coding’s Young Coders Serve as ‘Instructors’ at Huawei Cloud Developer Training Camp

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Ages 8 and 15, students showcase AI-era project-building skills from concept to working application

BEIJING, July 23, 2026 /PRNewswire/ — Walnut Coding (the “Company”), a leading online platform for youth coding education, said two of its students – ages 8 and 15 – have joined the “instructor” lineup at Huawei Cloud Developer Training Camp, making them among the youngest “instructors” in the program’s history. The Company cites the pair as a prime example of how young learners can combine coding fundamentals with AI tools to turn ideas into working applications.

The two students, Bolin Du, 8, and Peiqi Gao, 15, built working applications using Huawei Cloud CodeArts, an AI coding assistant, then presented the projects to the training camp themselves – walking the audience through their design choices, technical builds, and debugging process.

The move lands at a moment when AI coding tools are forcing a rethink across the education sector. Tools that can generate functioning code from a plain-language prompt have undercut the traditional argument for teaching children to program – that they need the skill to build things themselves. Walnut Coding’s answer is that the more valuable skill now is judgment – knowing what problem to solve, breaking it into parts, and determining whether an AI’s output actually works.

Gao built a travel-planning application that generates routes, itineraries, and recommendations based on user input, handling the project end to end, from requirements and design through coding and debugging. Du, the younger of the two, built an interactive calendar application, using HTML for page structure, CSS for visual design, and JavaScript for interactive features. Both students then took on an instructor’s role at the camp, presenting their project goals and technical implementation to the audience – a step Walnut Coding says separated the work from a typical classroom assignment.

These were not classroom exercises but working projects, built and presented inside a professional developer-training environment. The experience demanded more from both students than simply producing something functional – they needed to articulate their reasoning, defend technical choices, and refine the final result under scrutiny. Their participation signals a broader shift underway in what youth coding education can deliver.

AI is making code generation easier, but it is also redrawing which skills actually matter. A student who relies only on one-click generation may get a rough prototype quickly, but still struggle to spot logical flaws, judge whether the output is reliable, or turn an abstract idea into a product that actually works. Students with programming foundations, by contrast, are better positioned to define requirements, evaluate what the AI produces, correct its errors, and treat the technology as a tool rather than a shortcut to lean on.

“AI can help children generate code faster, but it cannot decide for them what problem they should solve, nor can it make the final judgment about whether the result is truly effective,” said Pengxuan Zeng, founder and CEO of Walnut Coding. “What these two students demonstrated is not just coding technique, but the ability to define needs, break down tasks, verify outcomes, and turn an idea into a working product. That is why we believe young people still need to learn programming in the AI era.”

Walnut Coding structures its courses around that thesis, pairing student-led project work with teaching-assistant guidance and AI-assisted support. According to the Company, this data is continuously fed back into its systems to refine the personalization of AI-assisted feedback — a closed-loop process linking teaching, practice, feedback, and curriculum development.

The Company frames the payoffs less around producing professional software engineers than around a broader form of literacy. As AI continues to reshape how tasks get done, the ability to understand the technology, structure problems clearly and collaborate effectively with intelligent tools may prove one of the most durable skills a young learner can develop.

Walnut Coding says it plans to keep expanding opportunities for students to build practical projects, partner with industry technology platforms such as Huawei Cloud, and develop the core capabilities needed to build with technology in the AI era.

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MOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026

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SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, participated in AMD Advancing AI 2026, AMD’s flagship annual AI event held in San Francisco on July 22–23 (local time), where it demonstrated its distributed inference solution, the MoAI Inference Framework, running on AMD GPUs.

At the event, Moreh presented a live demonstration of the GLM-5.1 large language model (LLM) powered by the MoAI Inference Framework on a system equipped with 32 AMD Instinct™ MI300X GPUs across four nodes. Visitors experienced the chatbot firsthand, evaluating its response speed and service quality while observing performance across a range of real-world use cases.

Unlike conventional demonstrations that simply run an AI model, Moreh’s showcase displayed key inference service metrics in real time, including GPU utilization, Tokens Per Second (TPS), Time To First Token (TTFT), and Time Per Output Token (TPOT). This enabled attendees to directly verify both inference performance and GPU resource efficiency in a production-like service environment.

Global AI industry leaders and enterprise customers attending the event expressed strong interest in the system’s fast response times and stable performance. In particular, the live deployment of the computationally demanding GLM-5.1 model on AMD GPUs at production-grade service levels received positive feedback from visitors.

Moreh’s MoAI Inference Framework is widely recognized as the world’s first commercially deployed distributed inference solution built for the AMD ecosystem. Its distributed inference and heterogeneous computing technologies are designed to dramatically reduce AI service costs, enabling broader adoption of AI worldwide. The technology addresses one of the industry’s biggest challenges-the rapidly rising infrastructure and service costs caused by increasingly larger AI models-by delivering a more efficient inference infrastructure.

Moreh CEO Gangwon Jo stated, “This event provided an opportunity for global customers to verify firsthand that top-tier inference performance can be achieved on AMD GPU environments,” and added “We will continue advancing our AI infrastructure software so enterprises can operate AI services as efficiently as possible, regardless of the underlying GPU platform.”

Moreh develops its own AI infrastructure engine and has expanded its end-to-end AI capabilities through its foundation LLM subsidiary, Motif Technologies, covering both AI infrastructure and foundation models. The company is also strengthening its presence in the global AI market through strategic partnerships with leading technology companies, including AMD and Tenstorrent.

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