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Damon Inc. Announces Pricing of Upsized $16.5 Million Underwritten Public Offering

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VANCOUVER, BC, March 20, 2025 /CNW/ – Damon Inc. (NASDAQ: DMN) (“Damon” or the “Company”), a designer and developer of electric motorcycles and other personal mobility products that seek to empower the personal mobility sector through innovation, data intelligence and strategic partnerships, today announced the pricing of its public offering of 126,900,000 units at a public offering price of $0.13 per unit. Each unit consists of one common share and one Series A warrant to purchase one common share. In addition, the Company has granted the underwriters a 45-day option to purchase up to an additional 19,035,000 ordinary shares and 19,035,000 Series A warrants to cover over-allotments at the public offering price, less the underwriting discount.

Each Series A Warrant will expire two and one-half (2.5) years from the issuance, will be immediately exercisable upon issuance at an initial exercise price of $0.195 per common share, subject to adjustment on the First Reset Date and the Second Reset Date (as defined in the warrants) and subject to a floor price therein. The warrants may also be exercised on an alternative cashless basis pursuant to which the holder may exchange each warrant for 2.5 ordinary shares.

Gross proceeds to the Company, before deducting underwriting commissions and other offering expenses, are expected to be $16.5 million. We intend to use the net proceeds from this offering for working capital and general corporate purposes, including research and development, as well as marketing and sales of our products. The offering is expected to close on March 21, 2025, subject to the satisfaction of customary closing conditions. 

Maxim Group LLC is acting as sole book-runner in connection with the offering.

A registration statement on Form S-1 (File No. 333-285872) was filed with the U.S. Securities and Exchange Commission (“SEC”) and was declared effective by the SEC on March 20, 2025 and a registration statement on Form S-1 filed pursuant to Rule 462(b) of the Securities Act of 1933 was filed with the SEC and became effective upon filing on March 20, 2025 (together, the “registration statement”). A final prospectus relating to the offering will be filed with the SEC and will be available on the SEC’s website at http://www.sec.gov. The offering is being made only by means of a prospectus forming part of the effective registration statement. Electronic copies of the prospectus relating to this offering, when available, may also be obtained from Maxim Group LLC, 300 Park Avenue, 16th Floor, New York, New York 10022, Attention: Syndicate Department, by telephone at (212) 895-3745 or by email at syndicate@maximgrp.com.

This press release shall not constitute an offer to sell or a solicitation of an offer to buy any of the securities described herein, nor shall there be any sale of these securities in any state or other jurisdiction in which such offer, solicitation or sale would be unlawful prior to the registration or qualification under the securities laws of any such state or other jurisdiction.

About Damon Inc.

Damon Inc. is a designer and developer of personal mobility products and technology solutions that integrate AI-driven safety systems, smart electrification, and user-driven design to revolutionize sustainable transportation. Operating across four potential revenue verticals – Data Intelligence & Services, Engineering Services, Personal Mobility Products, and Special Projects – Damon believes it is positioned to capture a significant share of the $40B global electric two-wheeler market by 20301. The company distinguishes itself through its integrated ecosystem approach, combining advanced data analytics, engineering expertise, and strategic partnerships with OEMs and Tier 1 suppliers. Damon emphasizes accessible mobility solutions while leveraging its proprietary AI-driven safety systems and intelligent energy management technology to deliver superior performance and operational efficiency in the urban and business mobility space. For more information, please visit damon.com.

1 Source McKinsey Report on Micromobility (2022) 

Forward Looking Statements

Forward-looking statements in this press release include, but are not limited to, statements relating to our strategic initiatives, revenue expansion plans, business model evolution, and expected efficiency improvements and growth. In developing the forward-looking statements in this press release, we have applied several material assumptions, including the general business and economic conditions of the industries and countries in which Damon operates, and general market conditions. Many risks, uncertainties, and other factors could cause the actual results of Damon to differ materially from the results, performance, achievements, or developments expressed or implied by such forward-looking statements. Factors that could cause actual results to differ from those discussed in the forward-looking statements include, but are not limited to, our ability to satisfy closing conditions for the offering, our history of losses, our ability to implement our growth strategy and achieve profitability, our limited operating history with recent acquisitions, our ability to obtain adequate financing as needed, our ability to continue as a going concern, our status as a foreign private issuer, our ability to maintain compliance with Nasdaq’s continued listing requirements, customer demand for or acceptance of our products and services, the impact of competitive or alternative products, technologies, and pricing, emerging competition and rapidly advancing technology that may outpace our own, our ability to manufacture or distribute products and secure strategic supply and manufacturing arrangements, our ability to protect our intellectual property, impact of any changes in existing or future regulatory and tax regimes applying to our business, our ability to successfully consummate strategic transactions and integrate companies or technologies we acquire, our ability to attract and retain management and employees with specialized knowledge and technical skills, our ability to develop and maintain effective internal controls, general economic conditions and events and the impact they may have on us and our customers, including but not limited to increases in inflation rates and rates of interest, supply chain challenges, increased costs for materials and labor, cybersecurity threats, and conflicts such as those in Russia/Ukraine and Israel/Hamas, our success at managing the risks involved in the foregoing items, and other risk factors discussed in our periodic and current reports and registration statements filed with the U.S. Securities and Exchange Commission and the British Columbia Securities Commission.

Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date of the press release or as of the date otherwise specifically indicated herein. Due to risks and uncertainties, events may differ materially from current expectations. Damon disclaims any intention or obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required pursuant to applicable securities law. All forward-looking statements contained in the press release are expressly qualified in their entirety by this cautionary statement.

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SOURCE Damon Inc.

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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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