GRANTS, N.M., Sept. 23, 2026 /CNW/ — The Clean Energy Association of New Mexico (CLEAN) today expressed opposition to the Land Commission of the State of New Mexico’s Executive Order (“Order”) banning uranium exploration, development, and extraction on State lands.

CLEAN is disappointed by the Order, which, although limited in scope, runs counter to the economic and energy interests of New Mexico and its citizens. The Order only applies to State Lands and at a time when the State has not granted a new uranium lease on State lands in well over a decade. That said, this action continues to severely limit economic activity on State lands which would bring economic benefit, access to affordable and safe sources of domestic energy, and the opportunity to benefit from significant advances in environmentally responsible uranium extraction technology.

The timing and intent of restricting an economic activity which has evolved substantially over the past six decades is unfortunate. Many of the historic uranium-related legacy issues occurred approximately 60 years ago, before the implementation of the New Mexico Mining Act of 1993 and other modern safety, environmental, and operational standards.

It is misleading to compare any modern industry solely with the way it operated 60 years ago. Virtually every part of our economy has changed dramatically since then. Automotive manufacturing, air travel, energy production, construction, agriculture, and other industries now rely on technologies, safeguards, operating practices, and regulatory requirements that would have been unfamiliar six decades ago. The uranium industry and the companies that comprise it have undergone that same transformation.

“The United States is the world’s largest consumer of nuclear energy and the uranium that powers the reactors is over 90% sourced from outside the United States. The pursuit of cost-effective clean energy, and growing national security needs, has created a renewed demand for domestic uranium. This reality combined with strong domestic production potential provides New Mexico with the opportunity to be a leader in the United States,” said Janet Lee-Sheriff, President and Director of CLEAN. “This moment presents a strong economic opportunity for New Mexico, its citizens, and its communities due to the significant resources in the State. While we fully recognize that past practices created serious issues, today’s proven technologies–such as In-Situ Recovery (“ISR”) of uranium–provides safe and responsible options. New Mexico is a national leader in uranium resources, and this abundance combined with strong leadership, can create significant wealth and benefits for the State and its people when resources are developed properly. ISR can accomplish this while protecting the land, water, air, and people of New Mexico.”

CLEAN welcomes the opportunity to meet with communities, elected and regulatory officials, and community groups for healthy dialogue and information sharing. Constructive engagement and an understanding of modern uranium recovery practices are essential to sound decision-making about New Mexico’s energy and economic future.

About In-Situ Recovery Technology
In-Situ Recovery (“ISR”) offers a minimally intrusive, eco-friendly, and economically competitive approach to mineral extraction. It’s a proven, successful technique for extracting uranium, utilized in the United States in Texas, Nebraska and Wyoming. Unlike traditional mining, ISR utilizes wellfield technology to extract uranium from ISR-amenable, sandstone- hosted deposits. This technology is responsible for approximately 60% of all uranium extraction in the world. The NRC has stated that there has never been an incident of the contamination of drinking water from the ISR process.1

About the Clean Energy Association of New Mexico
The Clean Energy Association of New Mexico (CLEAN) provides education, awareness, and innovative tools to support a strong and safe nuclear energy sector needed to fuel the U.S. nuclear renaissance. CLEAN advocates for responsible uranium extraction and recovery through in-situ recovery (“ISR”), working to build sustainable socio-economic benefits for local communities and the State while respecting the land, water, air, and people. CLEAN hosted the inaugural Nuclear in New Mexico conference in April 2026 and will host the 2nd annual conference in May 2027.

www.CleanNM.org

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SOURCE Clean Energy Association of New Mexico

Collaboration advances Knowtion’s broader AI strategy to augment reimbursement recovery across the most complex post-claim revenue cycle challenges

BOCA RATON, Fla., Sept. 23, 2026 /PRNewswire/ — Knowtion Health, a healthcare company specializing in complex revenue recovery for providers, today announced the launch of a strategic partnership with Ghamut Corporation, an artificial intelligence (AI) strategy and development firm, to apply AI to the most complex revenue cycle challenges that require more than rules-based automation. The partnership starts with a targeted application of AI within the appeals process to support specialists as they navigate claims requiring complex review. This initiative represents the next step in expanding Knowtion’s use of AI across complex revenue cycle challenges.

The most challenging revenue cycle work rarely follows predictable, repeatable patterns. Specialists often must review lengthy medical records, payer policies, state and federal regulatory rules and clinical guidelines before determining how to proceed. To address this challenge, Knowtion’s solutions team identified opportunities to deploy AI to augment the support available to specialists and defined how the technology should work, drawing on the company’s claims history, payer knowledge and revenue cycle domain expertise. Working alongside that team, Ghamut supported the technical implementation. The result is technology designed to strengthen outcomes and reduce errors, while allowing specialists to use their judgment to optimize the output.

“Our specialists bring the judgment and experience needed to navigate complex revenue recovery,” said Mikky Franklin, chief delivery officer, Knowtion Health. “Working with Ghamut gives them a more powerful way to surface the information and context they need to make decisions and accelerate stronger appeals. This is one of several ways we plan to apply AI to strengthen how we serve our clients.”

Ghamut brings deep technical and scientific expertise in applied AI, having led or implemented more than $250 million in AI initiatives across industry, government and academic institutions. That caliber of technical rigor and critical thinking is what allows the partnership to move beyond basic automation and build AI that surfaces the context specialists need.

The AI-enabled approach helps specialists surface and synthesize relevant clinical information more efficiently, enabling them to evaluate more eligible claims and build comprehensive, well-supported arguments for payment. Development and use of the approach are governed by the company’s existing security and privacy protocols for healthcare provider and patient information.

Internal testing found that the AI support substantially lifts payment recovery rates. The findings demonstrate the potential of combining AI with specialist judgment to build stronger, better-supported appeals and help health systems recover additional revenue.

“Effective AI starts with the right ingredients,” said Mohammad Ghassemi, Ph.D., founding partner of Ghamut. “At Knowtion, those ingredients included a clear solution vision, years of complex claims data and people who possess deep domain experience. Our role was to translate those elements into a practical solution while preserving the human judgment at the center of the work. That combination is what turns technical possibility into practical value and allows us to continue progressing.”

Beyond appeals, Knowtion is applying this approach to other complex areas of revenue cycle work, with additional AI-driven capabilities already underway. Each is designed to help specialists identify and pursue more recovery opportunities, expand the range of claims evaluated, and ultimately recover more revenue for health systems.

About Ghamut Corporation
Founded in 2016 by MIT and Boston Consulting Group alumni, Ghamut Corporation is a boutique AI consulting firm that helps organizations identify where AI can create the most value and leads execution from strategy through deployment. The team has led or implemented more than $250 million in AI initiatives across industry, government, and academic institutions. Its work has been featured in The Economist and The Wall Street Journal and has included invited testimony before the U.S. Congress on AI and health. Learn more at ghamut.com.

About Knowtion Health
Founded in 2008, Knowtion Health is an AI- and technology-enabled revenue cycle management company helping hospitals recover reimbursement on complex, unresolved claims and strengthen financial performance. Serving more than 70 health systems and over 660 hospitals nationwide, Knowtion Health manages billions annually in outstanding-balance accounts, combining intelligent technology with specialized expertise to deliver measurable results for healthcare providers. Recognized for four consecutive years as one of the fastest-growing companies on the Inc. 5000 list, Knowtion Health is trusted by providers seeking more effective, scalable solutions.

The company is backed by Arsenal Capital Partners and Sunstone Partners, supporting continued innovation and growth. For more information, visit KnowtionHealth.com.

Media Contact:
Kate Kaminsky
AOx3, 120/80Group
Email: kate@12080group.com
Phone: 973-900-3882

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SOURCE Knowtion Health

NEW YORK, Sept. 23, 2026 /PRNewswire/ — SharonAI Holdings Inc. (NASDAQ: SHAZ) (“Sharon AI” or the “Company”), a leading Australian Neocloud delivering trusted AI infrastructure, today announced a collaboration with VAST Data, the AI Operating System company, to bring VAST DataEnclave, the new confidential AI capability of the VAST DataEngine, to Sharon AI’s AI Factory platform across Australia and Asia-Pacific.

Under the collaboration, Sharon AI will offer VAST DataEnclave as part of its AI Factory platform, giving customers a hardware-isolated secure runtime and cryptographic attestation service for running leading AI models onshore which is not expected to expose data or model weights. VAST’s confidential AI capability is designed to let regulated organizations run advanced AI models onshore in Australia and across Asia-Pacific, including in fully air-gapped environments, without those models or the underlying customer data leaving customer-controlled infrastructure.

For organizations in highly regulated industries, some of the highest-value AI opportunities have remained out of reach because sensitive data cannot leave controlled environments, while model builders have been unable to distribute proprietary models into infrastructure they do not trust. VAST DataEnclave is designed to resolve that impasse: sensitive assets are decrypted and loaded into a secure enclave only after the runtime environment and its enforced policy have been cryptographically verified, and infrastructure operators, including Sharon AI, cannot access customer data or model weights while they are being processed.

The collaboration is expected to significantly expand the number of leading AI models available to Sharon AI customers for mission-critical work where cloud-hosted services are not an option. Customers can now run leading AI models onshore while maintaining control over cost, performance, policy management and security, addressing a longstanding barrier for banks, government agencies and other regulated organizations across the region.

“As a trusted AI infrastructure provider, Sharon AI exists to make secure, scalable and sovereign AI compute available to every organization that needs it,” said James Manning, Co-founder and Chief Executive Officer of Sharon AI.

“Our customers across Australia and Asia-Pacific need to run AI at full speed without compromising on data sovereignty, and increasingly they also want access to frontier models that were previously only available offshore. Building on our sovereign data foundation with VAST DataEnclave is expected to let us host those models onshore, inside attested environments where the model owner’s weights and the customer’s data are both protected from everyone, including us. That should give our customers the flexibility to operate on their own terms, backed by sovereignty they can demonstrate, not just declare.”

VAST DataEnclave establishes a secure container runtime and attestation service directly within the VAST AI Operating System. Proprietary models execute inside confidential virtual machines built on CPU-level trusted execution environments, with NVIDIA GPUs operating in Confidential Compute mode, so guest memory, GPU memory and interconnect traffic all remain encrypted throughout processing.

Sharon AI customers and model builders retain independent control over their respective encryption keys through Bring Your Own KMS integrations, so customer data keys stay within the customer’s trust domain and model keys remain within the model builder’s trust domain at all times. Deployments can run connected, through the DataEnclave attestation service built on the open CNCF Trustee stack, or fully air-gapped, with VAST and Fortanix enabling on-premises attestation and key brokering for customers who cannot connect to external services.

Every attestation event, key release and enclave lifecycle action is recorded in a tamper-proof, queryable audit trail, giving Sharon AI customers visibility into what ran, where and under what verified policy, and is designed to avoid exposing the underlying data or model weights.

“The next phase of sovereign AI requires infrastructure that both enterprises and model builders can trust without having to trust the infrastructure operator itself,” said Sunil Chavan, Vice President, APJ at VAST Data. “Sharon AI is building exactly the kind of regional AI infrastructure where VAST DataEnclave may be able to change what’s possible, giving customers across Australia and Asia-Pacific access to leading AI models while allowing both sides to retain control of their most valuable intellectual property.”

The collaboration should reinforce Sharon AI’s role as a trusted AI infrastructure partner for regulated industries, equipped to deliver gigawatt scale AI compute securely and with sovereignty at its core, and extending its sovereign AI Factory platform to support attested, confidential AI workloads alongside its existing security, governance and compliance capabilities.

ENDS

About Sharon AI

Sharon AI (NASDAQ: SHAZ) is a leading Australian Neocloud delivering trusted sovereign AI infrastructure. Through its AI Factory platform and world-class ecosystem of technology and co-location partners, Sharon AI expands access to the scalable capabilities that organizations need to build, train and run AI, from model training through to inference and agentic AI. Serving customers globally, Sharon AI helps organizations move faster from AI potential to measurable value. For more information, visit www.sharonai.com.

Media

media@sharonai.com

Investors

investors@sharonai.com

About VAST Data

VAST Data is the AI Operating System company – powering the next generation of intelligent systems with a unified software infrastructure stack that was purpose-built to unlock the full potential of AI. The VAST AI OS consolidates foundational data and compute services and agentic execution into one scalable platform, enabling organizations to deploy and facilitate communication between AI agents, reason over real-time data, and automate complex workflows at global scale. Built on VAST’s breakthrough DASE architecture – the world’s first true parallel distributed system architecture that eliminates tradeoffs between performance, scale, simplicity, and resilience – VAST has transformed its modern infrastructure into a global fabric for reasoning AI.

Learn more at vastdata.com and follow VAST Data on LinkedIn, YouTube and X.

VAST Media Contact
Austin Weedfall
press@vastdata.com
VAST Data

Disclosure Information

Sharon AI primarily uses its Investor Relations page (https://sharonai.com/investors/) to disclose material non-public information and to comply with its disclosure obligations under Regulation FD. The Company also notes that it may, at times, use other communication channels, including its X account (Sharon__ai) and LinkedIn account (Sharon-AI), to disseminate information about the Company. Accordingly, investors should monitor these accounts in addition to press releases, SEC filings and public conference calls, webcasts and investor days.

Forward-Looking Statements

This press release may contain, and our officers and representatives may from time to time make, “forward-looking statements” within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995, which are not historical facts, and which are not assurances of future performance. Forward-looking statements are based only on our current beliefs, expectations and assumptions regarding the future of our business, future plans and strategies, projections, anticipated events and trends, the economy and other future conditions. In some cases you can identify these statements by forward-looking words such as “believe,” “may,” “will,” “estimate,” “continue,” “anticipate,” “intend,” “could,” “should,” “would,” “project,” “strategy,” “plan,” “expect,” “goal,” “seek,” “future,” “likely” or the negative or plural of these words or similar expressions or references to future periods. Examples of such forward-looking statements include but are not limited to express or implied statements regarding Sharon AI’s management team’s expectations, hopes, beliefs, intentions or strategies regarding the future including, without limitation, statements regarding:

Service and product offerings;The deployment of assets and expansion of network procurement;Sharon AI’s ability to engage with additional potential customers;Expansion of Sharon AI’s data center footprint and capacity; andThe strengthening of Sharon AI’s partner network.

In addition, any statements that refer to projections, forecasts or other characterizations of future events or circumstances, including any underlying assumptions, are forward-looking statements. Because forward-looking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of our control. You are cautioned that such statements are not guarantees of future performance and that actual results or developments may differ materially from those set forth in these forward-looking statements. Therefore, you should not rely on any of these forward-looking statements. Important factors that could cause actual results to differ materially from these forward-looking statements include, among others, all of the risks described in the “Risk Factors” section of the Company’s most recent Annual Report on Form 10-K filed with the SEC and other reports subsequently filed with the SEC. Additional assumptions, risks and uncertainties are described in detail in our registration statements, reports and other filings with the SEC, which are available at www.sec.gov.

The forward-looking statements and other information contained in this news release are made as of the date hereof and Sharon AI does not undertake any obligation to update publicly or revise any forward-looking statements or information, whether as a result of new information, future events or otherwise, unless so required by applicable securities laws.

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SOURCE SharonAI Holdings Inc.