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AGBA GROUP ANNOUNCES RESULTS OF EXTRAORDINARY GENERAL MEETING OF SHAREHOLDERS

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AGBA’s merger with Triller Corp. is on track to close

Shareholder approval was granted for AGBA to be incorporated as a Delaware Corporation and domiciled in the U.S., operating under the name Triller Group Inc.

All AGBA/Triller merger closing conditions have been met, with the exception of the final Nasdaq listing regulatory approval, soon anticipated

NEW YORK, Sept. 19, 2024 /PRNewswire/ — AGBA Group Holding Limited (Nasdaq: AGBA) (“AGBA” of the “Company”), a multi-channel business platform delivering first-class financial services through machine-learning technologies, today announced the results of its general shareholder meeting (the “Meeting”) held on September 19, 2024. During the Meeting, AGBA’s shareholders resoundingly approved all proposals put forth for vote and moved AGBA’s merger with Triller Corp. to its final stage of completion.  In the coming weeks, AGBA and Triller Corp. anticipate receiving Triller Group Inc.’s (the pro forma merged parent company) new Nasdaq listing approval, the final closing condition to the transaction, and expect their merger to close shortly thereafter.

Today’s Meeting and shareholder vote provided approval for AGBA to be re-domiciled in the State of Delaware and incorporated as a company under Delaware State Law operating under the new name “Triller Group Inc.”

The shareholder vote also approved the amended and restated merger agreement dated as of August 30, 2024 (“Merger Agreement”), by and between AGBA (to be renamed Triller Group Inc.), AGBA Social Inc., a wholly owned Delaware subsidiary of AGBA, Triller Corp. and Triller’s stockholder representative, with respect to the acquisition of 100% of the outstanding capital stock and conversion of all restricted stock units of Triller Corp., in exchange for common stock and preferred stock of the newly named Triller Group Inc. the conversion of all existing Triller Corp. restricted stock units into Triller Group Inc. restricted stock units, and the assumption of certain Triller Corp. warrants.

It was also agreed at the Meeting that AGBA’s Revised Charter Amendment would supersede and stand in substitution for the Charter Amendment Proposal to approve (i) the adoption and filing of the Company’s Sixth Amended and Restated Memorandum and Articles of Association to supersede and replace in its entirety AGBA’s Fifth Amended and Restated Memorandum and Articles of Association to, among other things, (A) increase the number of the Company’s ordinary shares authorized for issuance thereunder from 1,000,000,000 to 1,500,000,000, (B) authorize a new class of 100,000,000 class A preferred shares and authorize a new class of 45,000 super voting class B Shares, with each share entitled to 10,000 votes, and (C) to enable the majority shareholders to approve matters by written consent, and (ii) the adoption and filing of AGBA’s Seventh Amended and Restated Memorandum and Articles of Association to supersede and replace in its entirety the Company’s Sixth Amended and Restated Memorandum and Articles of Association to consolidate the above amendments and to effect the forward share split of the AGBA Ordinary Shares on a 1.9365 basis, and the resulting increase in the total number of authorized ordinary shares from 1,500,000,000 to 2,904,753,145 and increase in the outstanding AGBA Ordinary Shares from 97,736,035, shares to 189,265,804 shares and reduction in the par value of each  AGBA Ordinary Shares from $0.001 to $0.000516395 (the “Share Split”).

AGBA’s shareholders authorized and approved that after its merger with Triller Corp. has closed, and based on the number of outstanding AGBA Ordinary Shares as of August 30, 2024, Triller Corp.’s Stakeholders will hold 70% of the aggregate of (i) the economic interests of the outstanding Triller Group Inc. capital stock plus (ii) the outstanding Triller Group Inc. RSUs, and the current AGBA shareholders will hold the remaining 30% (“Agreed Stakeholder Proportions”), and that AGBA’s Board of Directors (“Directors”) be and are hereby authorized to make such amendments and adjustments to the Merger Agreement and the numbers of securities to be so issued in Triller Group Inc., in their sole discretion, as may be required or desirable to give effect to the Merger Agreement Proposal and the Agreed Stakeholder Proportions.

Further, the shareholders granted to authorize and approve a reverse share split of AGBA Ordinary Shares in the range of 1 to 1.5 to 1 to 20 and grant to AGBA’s Directors the discretion and authority to determine the exact reverse split ratio, within the above specified range, (“Reverse Share Split”) and to further authorize and approve any consequential changes and amendments to AGBA’s memorandum and articles of association, and to authorize and grant discretion to AGBA’s Directors to do all things necessary to give effect to the Reverse Share Split as may be required.

These approved proposals reflect transformative changes being implemented at AGBA and mark a significant step forward for Triller Group Inc.’s future enhanced growth and positioning within the technology and social media industries.

For more information on today’s shareholder vote, please refer to AGBA’s Report on Form 6-K filed with the SEC on September 19, 2024. The latest press release is available on the company’s website, please visit: www.agba.com/ir.

About AGBA    
Established in 1993, AGBA Group Holding Limited (Nasdaq: “AGBA”) is a leading, multi-channel business platform that incorporates cutting edge machine-learning and offers a broad set of financial services and healthcare products to consumers through a tech-led ecosystem, enabling clients to unlock the choices that best suit their needs. Trusted by over 400,000 individual and corporate customers, the Group is organized into four market-leading businesses: Platform Business, Distribution Business, Healthcare Business, and Fintech Business.

For more information, please visit www.agba.com

About Triller Corp.       
Triller is a next generation, AI-powered, social media and live-streaming event platform for creators. Pairing music culture with sports, fashion, entertainment, and influencers through a 360-degree view of content and technology, Triller uses proprietary AI technology to push and track content virally to affiliated and non-affiliated sites and networks, enabling them to reach millions of additional users. Triller additionally owns Triller Sports, Bare-Knuckle Fighting Championship (BKFC); Amplify.ai, a leading machine-learning, AI platform; FITE, a premier global PPV, AVOD, and SVOD streaming service; and Thuzio, a leader in B2B premium influencer events and experiences.

For more information, visit www.triller.co

Investor Relations:       
Bethany Lai
ir@agba.com
+852-5529-4500  

Media Contact:
Catherine Polisi Jones
Polisi Jones Communications
cjones@polisijones.com
+1-917-330-8934

Safe Harbor Statement

This press release contains forward-looking statements as defined by the Private Securities Litigation Reform Act of 1995. Forward-looking statements include statements concerning plans, objectives, goals, strategies, future events or performance, and underlying assumptions and other statements that are other than statements of historical facts. When the Company uses words such as “may,” “will,” “intend,” “should,” “believe,” “expect,” “anticipate,” “project,” “estimate” or similar expressions that do not relate solely to historical matters, it is making forward-looking statements. Forward-looking statements are not guarantees of future performance and involve risks and uncertainties that may cause the actual results to differ materially from the Company’s expectations discussed in the forward-looking statements. These statements are subject to uncertainties and risks including, but not limited to, the following: the Company’s goals and strategies; the Company’s future business development; product and service demand and acceptance; changes in technology; economic conditions; the outcome of any legal proceedings that may be instituted against us following the consummation of the business combination; expectations regarding our strategies and future financial performance, including its future business plans or objectives, prospective performance and opportunities and competitors, revenues, products, pricing, operating expenses, market trends, liquidity, cash flows and uses of cash, capital expenditures, and our ability to invest in growth initiatives and pursue acquisition opportunities; reputation and brand; the impact of competition and pricing; government regulations; fluctuations in general economic and business conditions in Hong Kong and the international markets the Company plans to serve and assumptions underlying or related to any of the foregoing and other risks contained in reports filed by the Company with the SEC, the length and severity of the recent coronavirus outbreak, including its impacts across our business and operations. For these reasons, among others, investors are cautioned not to place undue reliance upon any forward-looking statements in this press release. Additional factors are discussed in the Company’s filings with the SEC, which are available for review at www.sec.gov. The Company undertakes no obligation to publicly revise these forward–looking statements to reflect events or circumstances that arise after the date hereof.

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SOURCE AGBA Group Holding Limited

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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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