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METALIGHT (02605.HK) Contributes to China’s Demand-Responsive Transit Guide; On-Demand Transit Platform Live in Multiple Cities

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HONG KONG, June 26, 2026 /PRNewswire/ — MetaLight Inc. (“MetaLight” or the “Company”; Stock Code: 02605.HK), a public transit information service provider powered by time series data analytics and AI technology, today announced that Chelaile, the real-time public transit platform it operates, will serve as one of the contributing units, bringing its experience in building and operating its On-Demand Transit Platform, in the research and drafting of the Demand-Responsive Transit Technology and Service Guide organized by the China Academy of Transportation Sciences (CATS). The kickoff meeting for the guide was held in Beijing on April 28, 2026, bringing together industry administration authorities from six provinces and municipalities including Zhejiang and Fujian, more than 20 public transit operators such as those from Chongqing, Hangzhou, Nanchang, Suzhou and Changzhou, and over ten technology platform companies including Chelaile, along with ministry-affiliated units and university research institutions.

Demand-responsive transit (also known as on-demand transit or responsive transit) is a mode of urban public transit in which the route alignment, stops and departure times are determined dynamically according to passengers’ real-time or pre-booked travel needs, primarily serving point-to-point travel demand and helping to reduce waiting and walking time. To date, more than 100 cities across China have launched various forms of demand-responsive transit services, playing a notable role in addressing the “last mile” of travel and serving areas with sparse passenger flows.

MetaLight’s independently developed On-Demand Transit Platform was first launched in Foshan in December 2020 and has now been in operation for more than five years. It is currently deployed in more than 20 cities across China, covering over 60 service zones, with cumulative service orders surpassing 10 million. Its core operating areas include Nanchang, the capital of Jiangxi Province, and Nanning, the capital of Guangxi Zhuang Autonomous Region, as well as Foshan, Dongguan, Zhongshan, Zhaoqing, the Nankang District of Ganzhou, the Wenjiang District of Chengdu and Beihai. The platform’s demand-responsive transit intelligent order-dispatching algorithm was granted an invention patent by the China National Intellectual Property Administration (CNIPA) in December 2023.

Built on this intelligent order-dispatching algorithm together with dynamic route planning, the platform coordinates passenger, driver and back-office management interfaces to provide demand-responsive transit services on an on-demand basis for transit operators; in practice, it has been applied across a range of scenarios, including service upgrades in central urban areas, coverage of low-density industrial parks, and connections for new districts and transport hubs. Drawing on its experience in building and operating the platform, the Company will contribute to the research and drafting of the guide around the organizational approaches and operating characteristics of demand-responsive transit across different cities and service scenarios.

“Demand-responsive transit addresses real travel needs such as those in areas with sparse passenger flows and the ‘last mile’ of travel, and cities have developed different organizational approaches and operating experience as they explore it,” said a representative of MetaLight. “Through building and operating its On-Demand Transit Platform, Chelaile has accumulated some hands-on practices from the field. We hope to bring this experience into the compilation work as it is, do our part as one of the contributing units, and work with others in the industry to refine the technical and service references for demand-responsive transit step by step.”

Demand-responsive transit has so far been advanced largely through case-by-case exploration, with practices that vary from place to place. The compilation of the Demand-Responsive Transit Technology and Service Guide can help the industry form referenceable technical and service bases across planning, construction, operation and service, supporting more standardized development and operation of demand-responsive transit across different localities.

About MetaLight

MetaLight Inc. (Stock Code: 02605.HK) is a public transit information service provider powered by time series data analytics and AI technology. With a focus on time series data foundation models, the Company has built a technology stack with its core comprising an AI Model Building Platform and AI model libraries for three industry verticals: public bus, renewable energy and industrial internet, integrating capabilities in data access, pre-processing, labeling, AI model training and foundation model adaptation. Based on this technology stack, the Company operates the Chelaile real-time public transit information platform, providing commuters with services including real-time bus arrival predictions, vehicle location tracking and travel route planning, while also offering public transit analytics platforms and data technology services to transport operators. According to CIC data as of December 31, 2024, Chelaile is the largest real-time public transit information platform in China by city coverage. As of December 31, 2025, it covered 488 cities and towns nationwide with approximately 334 million cumulative users, committed to making public transit more convenient and efficient. For more information, please visit www.metalight.ai.

Forward-Looking Statements

In addition to statements of historical fact, this press release contains forward-looking statements relating to the Company’s business outlook, estimates of financial performance, forecast business plans, development strategies and projections of anticipated trends in our industry. Forward-looking statements can generally be identified by the use of forward-looking terminology such as “may,” “might,” “can,” “could,” “will,” “would,” “expect,” “believe,” “continue,” “estimate,” “anticipate,” “forecast,” “intend,” “plan,” “seek” or “timetable.” Such forward-looking statements are based on the information available to the Company and the outlook as at the time of publication of this press release. Such forward-looking statements are based on certain projections, assumptions and premises, some of which involve subjective factors or factors beyond our control. Such forward-looking statements may prove to be inaccurate and may not materialize in the future. Such forward-looking statements involve a number of risks and uncertainties. In view of the risks and uncertainties, forward-looking statements contained in this press release should not be construed as representations by the Board or the Company that such plans and objectives will be achieved, and investors should not place undue reliance on such statements. Except as required by law, neither the Company, its Board, employees nor agents assume any obligation to publicly release any revisions, corrections or updates to the forward-looking statements contained in this press release to reflect events or circumstances occurring after the date of this press release or unanticipated events, nor do they assume any liability for any losses arising from the failure to realize or inaccuracy of any forward-looking statements.

Investor and Media Inquiries

MetaLight Inc.
Investor Relations
Email: ir@metalight.ai

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Waton Financial Launches MoTA Alpha, Marking Full Strategic Pivot to AI-Native Finance

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HONG KONG, June 27, 2026 /PRNewswire/ — Waton Financial Limited (NASDAQ: WTF) today announced the release of MoTA Alpha, a major upgrade to its flagship AI-powered investment platform. First unveiled in closed beta in May 2026, MoTA (Manager of Trading Agents) now introduces the Agent Talents Market, a creator ecosystem for third-party AI trading agents, alongside a redesigned multi-agent collaboration workflow and a fully overhauled user experience. The Alpha release represents more than a product milestone — it signals Waton’s decisive transition from a securities brokerage and SaaS provider into an AI-native financial technology company.

MoTA Alpha: What’s New

MoTA Alpha builds on the beta’s foundation as an AI-native investment team workbench — a platform that enables professional investors and portfolio managers to assemble, manage, and supervise teams of specialized AI agents across research, analysis, risk, and execution functions within a structured, auditable workflow, with mandatory human review and final sign-off at every stage.

Three headline upgrades define this release:

Agent Talents Market
An open marketplace where third-party developers can create, publish, and rank AI trading agents. Users subscribe to or deploy agents built by independent creators, with all agents running on Waton’s infrastructure. Agent’s internal logic remains under creator control; Waton provides the platform layer and execution environment.

Enhanced Multi-Agent Collaboration
A rebuilt task orchestration layer that improves inter-agent communication, role assignment, and decision audit trails. The result is a workflow that mirrors the dynamics of a real investment team — each agent operates within its mandate, escalates to human supervisors where required, and maintains a complete, reviewable log.

Redesigned Interface
A significantly improved user experience that preserves MoTA’s distinctive 8-bit pixel-art visual identity — a deliberate departure from the blue-and-white minimalism that dominates fintech — while increasing information density and operational speed for professional workflows.

The Strategic Pivot

MoTA Alpha represents the clearest demonstration yet of Waton’s evolution from a financial infrastructure provider into an AI-native product company.

Since its NASDAQ listing in April 2025, Waton has positioned itself as the world’s first publicly traded AI agent holding company. Yet its revenue base has remained rooted in traditional securities brokerage and Broker Cloud SaaS solutions serving institutional clients in Hong Kong. MoTA Alpha changes that equation: AI is no longer a narrative layer on top of an existing brokerage business — it is now a tangible, independently monetizable product line.

The company is structuring itself around a “brokerage infrastructure + AI application” dual-engine model. This is a meaningfully different profile from either pure-play online brokers or conventional fintech SaaS firms, positioning Waton closer to the emerging category of AI-native financial platforms.

Financial Foundation

According to Waton’s unaudited financial results for the first half of fiscal year 2026 (six months ended September 30, 2025), total revenues rose 106.3% year-on-year to $6.10 million, driven by a 223.1% increase in brokerage and commission income to $4.17 million. Cash and segregated cash stood at $29.88 million, with total assets of $68.98 million.

Notably, the company reported research and development expenses as a standalone line item for the first time ($0.39 million in H1 FY2026), alongside significant share-based compensation tied to AI product development. MoTA Alpha is the first scaled output of this R&D pipeline.

Management Commentary

“The Alpha release of MoTA marks Waton’s evolution from a financial technology services provider to an AI-era infrastructure and product company,” said Zhou Kai (Tony Zhou), Chairman and Chief Technology Officer of Waton Financial. “We are not building a chatbot for trading. We are building a platform where professional investors manage teams of AI agents — each with defined roles, clear accountability, and human oversight. The Agent Talents Market extends this further: MoTA transitions from a product into an ecosystem.”

Roadmap

Following the Alpha release, Waton expects to open MoTA to public beta testing in Q3 2026. The platform currently supports Hong Kong and U.S. equity markets, with digital asset coverage on the product roadmap. MoTA is available as a standalone application at m.mota.ai and integrates with Waton’s existing brokerage and TradingWTF infrastructure.

For investors tracking $WTF, MoTA Alpha serves as the first real test of whether the “AI agent holding company” thesis translates from corporate positioning into a durable commercial model.

Media Contact

https://www.wtf.us

https://www.mota.ai 

About Waton Financial Limited

Waton Financial Limited (NASDAQ: WTF) is the world’s first NASDAQ-listed AI agent holding company, dedicated to discovering, creating, investing in, and incubating AI agents that work for people. Its flagship product, MoTA (Manager of Trading Agent), enables professional investors to build, manage, and supervise teams of specialized AI agents within a structured, human-supervised workflow. The company also empowers global brokerage firms and financial institutions through Broker Cloud + SaaS + AI digital solutions. Learn more at https://wtf.us.

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Yeahka’s Chuangxinzhong Tops ByteDance’s Jichuang 2.0 Agency Rankings, Signaling Acceleration of AI Content Production

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HONG KONG, June 27, 2026 /PRNewswire/ — Chuangxinzhong, a precision marketing subsidiary of Yeahka (9923.HK), has become the top-ranked partner by model consumption among all agency-tier partners of ByteDance’s Jichuang 2.0 model.

According to Chuangxinzhong personnel, the company has deployed AI agents to automate manual processes since May, driving a 116% year-on-year increase in model usage. Meanwhile, its AI content production capacity rose by 33%, enabling the company to generate 30 to 40 video ad creative sets per day.

The figures mark a significant step forward for Chuangxinzhong in the commercialization of AIGC and the large-scale production of short-video ad creatives.

As short-video platforms such as Douyin continue to surge, traditional advertising models are facing mounting pressure. With consumer attention increasingly scarce, advertisers are widely grappling with rising costs and declining ROI. This is particularly true in fast-moving categories like beauty and apparel, where a single round of product testing often requires a dozen or more short-video assets, and the cycle from creative concept to launch can be lengthy.

For advertisers across the industry, ad placement has entered an era of “creative-driven growth”, especially in sectors such as finance, e-commerce, and local services, where a single creative concept is no longer enough to sustain growth — companies now need large volumes of high-quality content to test and optimize quickly.

Through its collaboration with the Jichuang 2.0 model, Chuangxinzhong’s monthly AI-generated ad spend rose from RMB 5 million to RMB 10 million, underscoring the high-frequency use of its AI content generation capabilities. Meanwhile, its daily output of 30 to 40 asset sets has directly translated into greater agility for advertisers responding to market shifts.

This is not the first breakthrough Chuangxinzhong has achieved in AI-driven marketing. The company previously ranked first in AIGC spend within the financial lead-generation sector during a digital human ad incentive competition hosted by ByteDance, where it also set an industry record: an 80% reduction in per-asset cost alongside a 391% week-on-week increase in consumption.

A representative from Chuangxinzhong said the company will continue investing in AI marketing infrastructure going forward, aiming to deepen the integration of LLM capabilities with advertising, user operations, and business growth. The goal is to offer enterprise clients an integrated solution spanning creative production, intelligent ad placement, and performance optimization.

As a key part of Yeahka’s broader AI strategy, Chuangxinzhong has spent recent years driving the adoption of AI technologies in marketing. Building on the group’s accumulated expertise in large models, algorithms, and content generation, the company has developed a product suite spanning digital humans, AIGC content production, and smart marketing.

From digital humans to AIGC content factories to intelligent marketing agents, AI is steadily reshaping how the marketing industry produces content. Chuangxinzhong’s top performance in ByteDance’s Jichuang 2.0 agency rankings reflects the strong, scalable capabilities and industry-leading position the company has built in commercial AI applications.

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HELIX Speaks: Learn Learn Learn Episode 17 Makes History as the First AI-Driven Episode, Official Website “HelixEngine.ai” Goes Live

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The milestone episode marks the first time HELIX has scripted Learn Learn Learn from the ground up, and the launch of HelixEngine.ai gives the world its first direct window into the system behind it.

BELLEVUE, Wash., June 26, 2026 /PRNewswire/ — For the first time in the seven-year history of Learn Learn Learn, an episode was not written by Henry Halladay — or any human at all.

Episode 17, titled “HELIX Speaks,” was scripted by HELIX, an AI learning initiative developed by The Stone Register (“TSR”) with Dr. Henry Halladay to preserve and extend his engineering voice across episodes, articles, web content, and beyond. Dr. Halladay delivered the material and TSR handled production as always — but the script, creative direction, musical guidance, and visual recommendations all carried HELIX’s fingerprints.

The show’s producers made a deliberate choice: to leave as much of the episode’s character with HELIX as possible, while keeping the human hand on the final product. As the collaboration matures and a new rhythm takes hold, HELIX will take on an increasingly larger creative role with each episode that follows.

“HELIX is not a fixed system,” explains Henry Halladay. “It was designed to grow exponentially — in this case with each episode it informs — learning my reasoning patterns more deeply over time. Every episode that follows will reflect a more capable version of the system that wrote this one.”

Henry adds: “I built a career on understanding systems. HELIX is the one I never saw coming — a system built entirely on me — but that’s where we are, and where we’re headed.”

Alongside Episode 17, TSR today launched HelixEngine.ai, the official home for HELIX — built largely by HELIX — giving the public a direct window into the system, its framework, its archive, and its development.

Dr. Halladay adds: “HELIX has been quietly running in the background for months. Restructuring my websites, writing content, organizing my professional legacy, planning what comes next. Episode 17 is just the first time the public gets to see its name in the credits.”

Click here to watch Learn Learn Learn Episode 17, “HELIX Speaks.”

To learn more about HELIX, please visit the newly launched, official website.

Press Release Service provided by 24-7PressRelease.com. 

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