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ICONIX ANNOUNCES EXTENSION OF ITS CASH TENDER OFFER FOR CLASS A-2 NOTES

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NOT FOR RELEASE, PUBLICATION OR DISTRIBUTION IN OR INTO, OR TO ANY PERSON RESIDENT AND/OR LOCATED IN, ANY JURISDICTION WHERE SUCH RELEASE, PUBLICATION OR DISTRIBUTION IS UNLAWFUL

THIS ANNOUNCEMENT IS FOR INFORMATION ONLY AND IS NOT AN OFFER TO PURCHASE OR A SOLICITATION OF AN OFFER TO SELL ANY SECURITIES.

NEW YORK, July 2, 2024 /PRNewswire/ — Iconix International Inc. (“Iconix”) today announced that it has extended the offering period (the “Extension”) of its previously announced cash tender offer (the “Tender Offer”) for up to a maximum aggregate principal amount of $75 million of (i) the outstanding Series 2012-1 4.229% Senior Secured Notes, Class A-2 (the “2012-1 Notes”) issued by Icon Brand Holdings LLC, Icon DE Intermediate Holdings LLC, Icon DE Holdings LLC, and Icon NY Holdings LLC (collectively, the “Co-Issuers”) and (ii) the outstanding Series 2013-1 4.352% Senior Secured Notes, Class A-2 (the “2013-1 Notes” and, together with the 2012-1 Notes, collectively, the “Class A-2 Notes”) issued by the Co-Issuers, in each case from holders thereof (each, a “Holder” and collectively, the “Holders”), which was previously set to expire at 5:00 p.m., New York City time, on July 2, 2024 (the “Original Expiration Time”), to 5:00 p.m., New York City Time, on July 30, 2024 (the “Expiration Time”). The Tender Offer is otherwise being made on the terms and subject to the conditions set forth in the Offer to Purchase dated June 3, 2024 (the “Offer to Purchase”).

Kroll Restructuring Administration LLC d/b/a Kroll Issuer Services (US) (“Kroll”), the tender and information agent (the “Tender and Information Agent”) for the Tender Offer, has advised Iconix that as of the Original Expiration Time for the Tender Offer, no Class A-2 Notes have been validly tendered and not validly withdrawn. Holders who have already tendered their Class A-2 Notes do not have to re-tender their Class A-2 Notes or take any other action as a result of the extension of the Original Expiration Time. Class A-2 Notes tendered in the Tender Offer and accepted for purchase by Iconix pursuant to the Tender Offer will remain outstanding after the Expiration Time and will not be contributed to the Co-Issuers for redemption. Holders are urged to read the Offer to Purchase carefully before making any decision with respect to the Tender Offer.

Prior to the Extension, in addition to the considered offered for the Class A-2 Notes, all Holders of Class A-2 Notes accepted for purchase would have also received accrued and unpaid interest from the April 25, 2024 interest payment date up to, but not including, the date on which Iconix makes payment for such Class A-2 Notes, which date was anticipated to be July 5, 2024. In connection with the Extension, the new date on which Iconix expects to accept for purchase all of the Class A-2 Notes validly tendered, subject to the satisfaction or waiver of the conditions of the Tender Offer, and make payment for such Class A-2 Notes, is July 31, 2024 (the “New Settlement Date”). All Holders of Class A-2 Notes accepted for purchase will receive accrued and unpaid interest from the July 25, 2024 interest payment date up to, but not including, the New Settlement Date. For the avoidance of doubt, interest will cease to accrue to the Holders of Class A-2 Notes on the New Settlement Date for all Class A-2 Notes accepted in the Offer.

As a result of the Extension, Class A-2 Notes validly tendered prior to the Expiration Time may be withdrawn at any time prior to 5:00 p.m., New York City Time, on July 30, 2024, but not thereafter, unless required by applicable law or extended by Iconix in its sole discretion (the “Withdrawal Deadline”). Class A-2 Notes validly tendered at the Withdrawal Deadline may not be withdrawn or revoked thereafter, unless required by applicable law. Iconix reserves the right to amend or waive any conditions of the Tender Offer, in whole or in part, at any time or from time to time, in its sole and absolute discretion.

In connection with the Tender Offer, Iconix has retained Ducera Securities LLC as its financial advisor (the “Financial Advisor”). Copies of the Offer to Purchase are available via the Tender Offer website at https://deals.is.kroll.com/iconix or by contacting the Tender and Information Agent via telephone at (646) 777-2609 (banks and brokers) or (833) 307-3523 (all others).

Other Information

None of Iconix or its affiliates, their respective boards of directors, the Co-Issuers, the trustee under the indenture governing the Class-A Notes, the Tender and Information Agent, or the Financial Advisor makes any recommendation as to whether Holders should tender, or refrain from tendering as to all or any portion of the principal amount of their Class A-2 Notes pursuant to the Tender Offer. Holders must make their own decisions as to whether to tender any of their Class A-2 Notes, and, if so, the principal amount of Class A-2 Notes to tender.

This press release is neither an offer to purchase nor a solicitation of an offer to sell any of the Class A-2 Notes, nor is it a solicitation for acceptance of the Tender Offer. Iconix is making the Tender Offer only by, and pursuant to the terms of, the Offer to Purchase. The Tender Offer is not being made in any jurisdiction in which the making or acceptance thereof would not be in compliance with the securities, blue sky or other laws of such jurisdiction.

About Iconix International, Inc.

Iconix is a Delaware corporation and is the parent company of the Co-Issuers. Iconix is a brand management company and owner of a diversified portfolio of global consumer brands across the women’s, men’s, home, and international segments. Iconix’s business strategy is to maximize the value of its brands primarily through strategic licenses and joint venture partnerships around the world, as well as to grow the portfolio of brands through strategic acquisitions.

About Iconix Brand Holdings LLC, Icon DE Intermediate Holdings LLD, Icon DE Holdings LLC, and Icon NY Holdings LLC

Each of the Co-Issuers is a limited liability company organized under the laws of Delaware and is a limited-purpose, bankruptcy remote, wholly owned direct or indirect subsidiary of Iconix.

Forward-Looking Statements and Important Disclosure Notice

Except for historical information, certain matters contained in this press release or the Offer to Purchase are, or may be deemed to be, 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. The words “will,” “may,” “designed to,” “believe,” “should,” “anticipate,” “plan,” “expect,” “intend,” “estimate” and similar expressions identify forward-looking statements, which speak only as of the date they were made. Because these forward-looking statements are subject to risks and uncertainties, many of which are beyond Iconix’s control, actual results could differ materially from the expectations expressed in the forward-looking statements. Important factors that could cause actual results to differ materially from the expectations reflected in the forward-looking statements include the risks identified under the sections captioned “Investment Considerations Regarding the Co-Issuers” and “Risk Factors Relating to the Tender Offer” in the Offer to Purchase. Given these risks and uncertainties, you should not place undue reliance on these forward-looking statements. All forward-looking statements are based on information available to Iconix on the date of this press release, and Iconix disclaims any obligation to revise or update information contained in these forward-looking statements whether as a result of new information, future events, or otherwise, except as required by law.

Contact Information:
John T. McClain
Executive Vice President and Chief Financial Officer
jmmcclain@iconixbrand.com
(646) 777-2609 (banks and brokers) or (833) 307-3523 (all others)

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SOURCE Iconix International Inc.

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IR announces Iris for Card Payments: AI-powered observability that sees transactions end-to-end

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SYDNEY, June 22, 2026 /PRNewswire/ — Leading global observability software provider Integrated Research (“IR”) today announced Iris for Card Payments, the AI‑powered assistant designed to help payments teams detect issues earlier, understand their impact faster, and act before revenue and customer trust are at risk.

As card payments environments grow in scale and complexity, issues can cascade in minutes. Transaction volumes spike, dependencies multiply, and even highly experienced teams can struggle to correlate schemes, response codes, flows, and performance metrics in real-time. AI-powered observability can unlock faster, deeper insight for payments teams at precisely the moment when clarity matters most.

Via natural language prompts, Iris for Card Payments delivers real-time card payments insights, and is built on IR’s core observability platform Prognosis which monitors over 80 billion transactions each year for some of the world’s largest banks and financial institutions.

Iris: AI that truly understands card payments

Extra pair of Expert Eyes: Iris makes deep card payments expertise instantly accessible, reducing reliance on scarce specialists and building confidence 24/7.Purpose-built with context-aware insights: Iris understands card payments end-to-end, with built-in IR correlation logic to explain why something happened, not just what.Natural-language queries: Clear answers about transaction declines, approvals, volumes and performance – no syntax or dashboard stitching required.

Iris for Card Payments is available from May 2026 in Beta to customers globally as part of the release of Prognosis 13.3. Future releases will extend Iris to High Value Payments and Real‑Time Payments domains.

For more information or to request a demo, visit the website.

About IR
At IR, we power elite business performance. Trusted by the world’s largest organizations for more than 30 years, our market-leading observability solutions are powered by Prognosis – the real-time intelligence platform built for multi-vendor infrastructure, UC&CX and payments environments. To find out more, visit www.ir.com.

View original content to download multimedia:https://www.prnewswire.com/news-releases/ir-announces-iris-for-card-payments-ai-powered-observability-that-sees-transactions-end-to-end-302804079.html

SOURCE Integrated Research (IR)

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Montana-Dakota Utilities Announces Electric Service Agreement with Applied Digital for Proposed AI Factory

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BISMARCK, N.D., June 22, 2026 /PRNewswire/ — MDU Resources Group, Inc.’s (NYSE: MDU) subsidiary, Montana-Dakota Utilities Co., has entered into an electric service agreement (ESA) with Applied Digital Corporation (NASDAQ: APLD) to provide power to Polaris Forge 3, an AI Factory near Center, North Dakota.

At full capacity, the campus would require 430 megawatts of electricity. Under the ESA, Applied Digital would be responsible for the costs of purchasing the energy directly from the market or through other power supply arrangements. Applied Digital anticipates initial operations to commence in August 2027.

Polaris Forge 3 will expand Applied Digital’s footprint in North Dakota, where the company is developing purpose-built campuses designed to support high-density artificial intelligence workloads. Applied Digital has previously announced a 15-year lease with a U.S. based high investment-grade hyperscaler for this site.

“Polaris Forge 3 is another example of how Applied Digital is turning power into operational AI capacity through disciplined execution and long-term partnerships,” said Wes Cummins, Chairman and CEO of Applied Digital. “This campus is expected to create approximately 200 full-time jobs, generate meaningful property tax revenue and support long-term growth across Oliver County and the surrounding region. We believe AI infrastructure should create value well beyond the campus, and we’re proud to continue building in North Dakota.”

Montana-Dakota Utilities currently serves Applied Digital at Polaris Forge 1, its AI Factory near Ellendale, North Dakota, where the companies have worked together to integrate significant power demand while maintaining reliable, cost-effective service for customers, crediting $38.4 million back to North Dakota customers over the past three years.

“This proposed project reflects the growing interest in North Dakota as a location for large energy users,” said Nicole Kivisto, president and CEO of MDU Resources. “We are committed to serving these customers in a way that benefits our communities, supports the regional grid and delivers value to our customers.”

Approval of the ESA and other regulatory filings by the North Dakota Public Service Commission is required for the company to provide power under the agreement with Applied Digital.

About MDU Resources Group, Inc.
MDU Resources Group, Inc., a member of the S&P SmallCap 600 index, strives to deliver safe, reliable, cost-effective and environmentally responsible electric utility and natural gas distribution services to more than 1.2 million customers across the Pacific Northwest and Midwest. In addition to its utility operations, the company’s pipeline business operates a more than 3,800-mile natural gas pipeline network and storage system, ensuring reliable energy delivery across the Northern Plains. With a legacy spanning over a century, MDU Resources remains focused on energizing lives for a better tomorrow. For more information about MDU Resources, visit www.mdu.com or contact the investor relations department at investor@mduresources.com.

About Applied Digital Corporation
Applied Digital (Nasdaq: APLD) named Best Data Center in the Americas 2025 by Datacloud — designs, builds, and operates high-performance, sustainably engineered data centers and colocation services for artificial intelligence, cloud, networking, and blockchain workloads. Headquartered in Dallas, TX, and founded in 2021, the company combines hyperscale expertise, proprietary waterless cooling, and rapid deployment capabilities to deliver secure, scalable compute at industry-leading speed and efficiency, while creating economic opportunities in underserved communities through its award-winning Polaris Forge AI Factory model. Learn more at applieddigital.com or follow @APLDdigital on X and LinkedIn.

Investor Contact: Brent Miller, treasurer, 701-530-1730

Media Contacts:

MDU Resources: Byron Pfordte, director of integrated communications, 208-377-6050

Montana-Dakota Utilities: Jamie Tescher, senior public relations representative, 701-204-8274

Applied Digital: JSA (Jaymie Scotto & Associates), jsa_applied@jsa.net, 856-264-7827

 

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SOURCE MDU Resources Group, Inc.

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Florida International University researchers reveal how altered images can bypass AI safeguards

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MIAMI, June 22, 2026 /PRNewswire/ — It may look like a picture of a panda bear to you, but to your business’s AI agent, it can act like a skeleton key, bypassing safety safeguards and potentially causing the model to generate harmful, misleading or policy-violating outputs.

That risk is the focus of new research from Hadi Amini, associate professor at Florida International University’s Knight Foundation School of Computing and Information Sciences. Together with graduate assistant Md Jueal Mia, he is studying how manipulated images can “jailbreak” certain AI systems, pushing them beyond their built-in safeguards.  

“AI models don’t see images the same way humans do,” Amini said. “They see patterns of numbers and pixels. By carefully manipulating those pixels, we can influence how the AI interprets the image and responds.” 

The team’s research demonstrated how small-language AI models – the kind frequently employed by small businesses to execute routine tasks like accounting or customer service – have become particularly susceptible to image-based hacks. As shown in research presented at the 2025 International Conference on Machine Learning and Applications (ICMLA), the team found that by introducing microscopic pixel-level changes called “perturbations” into an image, they could trick these AI systems into generating responses that they would normally block.  

“The manipulated image is like the face of a stranger,” Amini said. “The AI has to learn when a request should be treated with caution before it answers. In order to protect AI systems from attacks, we try to break them ourselves, identify potential vulnerabilities and design defense mechanisms.” 

The researchers then set out to probe the system’s defenses. The more successfully they penetrated the models’ guardrails, the more the systems could be trained to resist future threats. To do this, Amini and his team developed a method called JaiLIP (Jailbreaking with Loss-guided Image Perturbation), which uses an algorithm to determine the optimal degree of pixel-level manipulation.

In tests using BLIP-2, a multimodal AI model used by researchers and developers, Amini and his team found that images modified with JaiLIP significantly increased the likelihood that the system would generate harmful or unsafe responses. In one example, a JaiLIP-altered version of a stoplight tricked the AI model into divulging detailed instructions on how to run the light while avoiding a traffic ticket. Overall, the use of JaiLIP images nearly doubled the number of harmful responses generated by AI models. 

The risk extends beyond users simply prompting AI systems for instructions on illegal activity. As businesses increasingly adopt AI-powered customer service agents, chatbots and automated workflows, vulnerabilities in open-source or lightly protected systems could negatively impact users’ trust or create new avenues for cyberattacks.

“Small businesses and companies can benefit from AI to enhance their efficiency, but they have to be aware of the potential vulnerabilities,” Amini said. “They must make sure they’re deploying sufficient guardrails to maintain the safety and integrity of their AI tools.” 

Amini said there are some basic precautions that everyone should use before integrating AI into their business or workplace, including limiting the sensitive information they provide to AI systems (especially images), restricting who can access those systems and carefully evaluating the security measures built into AI tools before deployment.  

Because safety is paramount, Amini and his team are working to stay one step ahead of potential bad actors in the AI sphere. The more vulnerabilities he and his team can find, the quicker the AI will learn to repair them. The challenge, he said, is ensuring that AI can recognize threats hidden in plain sight — even when humans cannot. 

Photos and videos of Amini’s AI research, including interviews and b-roll, are available for media use via Dropbox

Media Contact:
Brian Zimmerman
305-348-8448
bzimmerm@fiu.edu 
news.fiu.edu
@FIU

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SOURCE Florida International University

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