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Primis Financial Corp. Receives Nasdaq Notice Regarding Delayed 10-K Filing

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1 year ago

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MCLEAN, Va., April 9, 2025 /PRNewswire/ — Primis Financial Corp. (NASDAQ: FRST) (“Primis” or the “Company”) announced today that, as expected, it received a notice on April 3, 2025 (the “Notice”) from Nasdaq indicating that the Company is not in compliance with Nasdaq Listing Rule 5250(c)(1) (the “Listing Rule”), which requires listed companies to timely file all periodic reports with the Securities and Exchange Commission (the “SEC”), as it has failed to timely file its Form 10-K for the period ending December 31, 2024 (the “Form 10-K”), which the Company previously disclosed on Form 12b-25, as filed with the SEC on April 1, 2025, as amended. As previously disclosed, the Company is subjected to a one-year “Panel Monitor” as defined by Nasdaq Listing Rule 5815(d)(4)(B), and, as a result, the Company must request an appeal of this determination to a Hearings Panel (the “Panel”) by April 10, 2025, or the Company’s securities will be scheduled for delisting from Nasdaq and will be suspended at the opening of business on April 14, 2025. 

On April 9, 2025, the Company appealed the Staff’s determination in accordance with the procedures set forth in the Nasdaq Listing Rules, requested a hearing before the Panel, and an extension of Nasdaq’s stay of delisting (the “Hearing Request”).

The Hearing Request automatically stayed any suspension of trading for 15 calendar days from the date of the Hearing Request and the Company’s common stock will continue to trade on Nasdaq during such stay. While the determination on whether to grant the extended stay during the appeal process will be made by the Panel, the Company believes that it satisfies the standards for the granting of such an extended stay and does not anticipate that the Company’s securities will be suspended or delisted as a result of the Notice.

The Company plans to file the Form 10-K as promptly as practicable and currently expects to do so prior to the hearing, at which point the Company will be in compliance with the Listing Rules.

The Notice has no immediate effect on the listing of the Company’s common stock on the Nasdaq Global Select Market and the Company expects to regain compliance in advance of the hearing before the Panel.

About Primis Financial Corp.

As of December 31, 2024, Primis had $3.7 billion in total assets, $2.9 billion in total loans held for investment and $3.2 billion in total deposits. Primis Bank provides a range of financial services to individuals and small- and medium-sized businesses through twenty-four full-service branches in Virginia and Maryland and provides services to customers through certain online and mobile applications.

Contacts:

Address:

Dennis J. Zember, Jr., President and CEO

Primis Financial Corp.

Matthew A. Switzer, EVP and CFO

1676 International Drive, Suite 900

Phone: (703) 893-7400 

McLean, VA 22102

 

Primis Financial Corp., NASDAQ Symbol FRST
Website: www.primisbank.com

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act, and Section 21E of the Exchange Act, about the Company that involve substantial risks and uncertainties. All statements other than statements of historical facts contained in this press release are forward-looking statements. In some cases, you can identify forward-looking statements because they contain words such as “anticipate,” “believe,” “intend,” “may,” “plan,” “should,” “will,” or the negative of these words or other similar terms or expressions. Important factors that may cause actual results to differ materially from those in the forward-looking statements include, but are not limited to, a further material delay in the Company’s financial reporting, including as a result of unanticipated factors or factors that the Company currently believes will not cause delay that could cause further delay; the possibility that the ongoing review may identify errors or control deficiencies in the Company’s accounting practices; the risk that any restatements may subject us to unanticipated costs or regulatory penalties and could cause investors to lose confidence in the accuracy and completeness of our financial statements; the likelihood that the control deficiencies that may be identified in the future will result in material weaknesses in the Company’s internal control over financial reporting; the possibility that the Company is unable to regain compliance with, or thereafter continue to comply with, the Nasdaq Listing Rules, or experience violations of additional Listing Rules; the possibility that Nasdaq may deny the Company’s appeal and delist the Company’s securities; the risk of investigations or actions by governmental authorities or regulators and the consequences thereof, including the imposition of penalties; the risk that the Company may become subject to shareowner lawsuits or claims; risks related to our ability to implement and maintain effective internal control over financial reporting and/or disclosure controls and procedures in the future, which may adversely affect the accuracy and timeliness of our financial reporting; the inherent limitations in internal control over financial reporting and disclosure controls and procedures; remediation of any potential deficiencies with respect to the Company’s internal control over financial reporting and/or disclosure controls and procedures may be complex and time-consuming; and the impact of these matters on the Company’s performance and outlook and other factors contained in the “Risk Factors” section and elsewhere in the Company’s filings with the SEC from time to time, including, but not limited to, its Annual Report on Form 10-K and its Quarterly Reports on Form 10-Q. The forward-looking statements in this press release are based upon information available to the Company as of the date of this press release, and while the Company believes such information forms a reasonable basis for such statements, such information may be limited or incomplete, and its statements should not be read to indicate that the Company has conducted an exhaustive inquiry into, or review of, all potentially available relevant information. These statements are inherently uncertain and investors are cautioned not to unduly rely upon these statements. Except as required by law, the Company assumes no obligation to update these forward-looking statements, or to update the reasons if actual results differ materially from those anticipated in the forward-looking statements.

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SOURCE Primis Financial Corp.

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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36 minutes ago

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July 24, 2026

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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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36 minutes ago

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July 24, 2026

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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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36 minutes ago

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July 24, 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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