EMJX Enhances Gen2 Digital Asset Treasury Operating System On OpenAI’s Large Language Models (LLMs) for Research and Risk Decision Support

Rhea-AI Summary

SRx Health Solutions (NYSE American: SRXH) announced on Dec 19, 2025 that its EMJ Crypto Technologies unit (EMJX) is integrating OpenAI’s latest commercially available large language models into its Gen2 Digital Asset Treasury (Gen2 DAT) and proprietary QAM Engine.

The integration is intended to enhance research synthesis, retrieval-augmented analysis, and the incorporation of market, macroeconomic, and protocol-level data into portfolio construction, volatility management, and risk-management decision support while retaining human oversight and established quantitative controls.

Positive

• Definitive acquisition agreement for EMJX announced on Dec 19, 2025
• OpenAI LLMs integrated into Gen2 DAT QAM Engine for research and risk support
• Enhanced decision support for volatility management and multi-asset allocation

Negative

• None.

Key Figures

Keystone resale registration 2,506,893,959 shares Registered for resale under 424B3 with Keystone Capital Partners

EMJX deal value approximately $55 million All-stock Share Exchange and Asset Transfer Agreement

Termination fee cap $300,000 Expense reimbursement cap for EMJX transaction termination

Equity line capacity $1.0 billion Maximum stock sale capacity to Keystone under Common Share Purchase Agreement

Annual net sales about $6.5 million Continuing operations year ended September 30, 2025

Planned resale shares 101,865,909 shares Resale registration by selling stockholders under Form S-1

Authorized common stock 5,000,000,000 shares Increase from 200,000,000 pursuant to charter amendment

Planned insider sale 37,007 shares Notice of proposed sale filed on Form 144

Market Reality Check

$0.3120 Last Close

Volume Volume 19,094,267 vs 20-day average 22,907,773 (relative volume 0.83) shows no unusual activity. normal

Technical Price 0.335 is trading below 200-day MA at 0.46, reflecting a weak longer-term trend.

Peers on Argus

SRXH fell 10.67% while key peers were mixed: MODV -18.59%, CCM -4.27%, NIVF -5.66%, and NVMDF/AMS were flat, suggesting stock-specific dynamics around the EMJX/AI narrative.

Historical Context

Date	Event	Sentiment	Move	Catalyst
Dec 16	EMJX acquisition	Positive	+23.8%	Definitive agreement to acquire EMJX and its Gen2 treasury platform.
Nov 10	Board appointment	Positive	-7.5%	Appointment of Sammy Dorf to Board, emphasizing capital markets expertise.
Nov 06	Trading activity notice	Neutral	-6.7%	Response to NYSE American notice of unusual trading activity with no new developments.
Oct 17	Listing deficiency	Negative	+0.8%	NYSE American notification of stockholders’ equity below continued listing standard.
Oct 01	Board appointment	Neutral	+0.9%	Appointment of Joshua Epstein to Board and Compensation Committee.

Pattern Detected

Recent news has produced mixed reactions: a strong positive move on the EMJX acquisition, but negative reactions to governance and trading-activity disclosures.

Recent Company History

Over the last few months, SRXH has shifted toward digital assets and AI-driven treasury management. On Oct 17, it disclosed a NYSE American stockholders’ equity deficiency notice. Governance changes followed with board appointments on Oct 1 and Nov 10. An unusual trading activity response came on Nov 6. The pivotal step was the Dec 16 definitive agreement to acquire EMJX and its Gen2 digital-asset platform, which today’s LLM integration update directly builds upon.

Market Pulse Summary

This announcement builds on the planned EMJX acquisition by detailing how OpenAI-powered LLMs would feed into the Gen2 digital-asset treasury platform’s research and risk-management workflows. It follows a Dec 16 agreement to acquire EMJX in an all-stock deal valued at approximately $55 million and recent SEC filings registering up to 2,506,893,959 shares for resale plus a $1.0 billion equity line. Investors may track progress toward closing, platform integration, and how dilution and NYSE American equity-deficiency issues are addressed.

Key Terms

large language models technical

"integration of OpenAI’s latest-generation large language models (LLMs) to support"

Large language models are advanced AI systems trained on vast amounts of text to understand and generate human-like writing, like a very fast reader and writer that learns patterns in words and sentences. They matter to investors because they can change how companies operate—automating customer service, speeding analysis, cutting costs, creating new products—and they introduce risks around accuracy, security and regulation that can affect a firm’s revenue and reputation.

LLMs technical

"OpenAI’s latest-generation large language models (LLMs) to support internal research"

Large language models are advanced computer programs that read and generate human-like text by learning patterns from huge amounts of written material; think of them as digital employees that can draft reports, answer questions, summarize documents, or generate code. They matter to investors because they can change a company’s costs, speed of product development, customer service, and competitive edge — and they also create new risks and regulatory questions that can affect profits and valuation.

quantitative models technical

"applies quantitative models, artificial intelligence, and systematic risk controls"

Quantitative models are mathematical formulas and computer-based systems that analyze numerical data—like prices, sales, or economic indicators—to estimate future outcomes or identify trading opportunities. They matter to investors because they turn complex information into repeatable signals, like a recipe that guides buying or selling decisions, helping reduce guesswork, speed decisions, and reveal risks or patterns that are hard to spot by eye.

AI-generated analysis. Not financial advice.

NORTH PALM BEACH, Fla., Dec. 19, 2025 (GLOBE NEWSWIRE) -- SRx Health Solutions, Inc. (NYSE American: SRXH) (the “Company”), which recently announced a definitive agreement to acquire EMJ Crypto Technologies (“EMJX”), today announced that EMJX is enhancing its Gen2 digital-asset treasury operating system through the integration of OpenAI’s latest-generation large language models (LLMs) to support internal research workflows and risk-management decision support.

EMJX is a digital-asset treasury operating system that applies quantitative models, artificial intelligence, and systematic risk controls to multi-asset digital treasury management. The platform is led by Eric M. Jackson and is built to manage exposure to bitcoin, Ethereum, and other select digital assets while actively addressing volatility through disciplined hedging strategies.

The latest enhancements incorporate OpenAI’s commercially available, state-of-the-art large language models into EMJX’s proprietary QAM Engine and broader Gen2 Digital Asset Treasury (“Gen2 DAT”) architecture, which combine quantitative models with systematic risk controls.. These models are being used to improve the synthesis of market data, macroeconomic inputs, and protocol-level information into EMJX’s existing analytical and quantitative frameworks.

This work is designed to support faster and more comprehensive research synthesis, improve retrieval-augmented analysis, and enhance how market intelligence is incorporated into portfolio construction and risk-management processes, while maintaining human oversight and established quantitative controls.

By incorporating OpenAI-powered LLM tooling into its research and analytics stack, EMJX aims to strengthen multi-cycle strategy evaluation, dynamic volatility-management modeling, and decision support across AI-timed dollar-cost-averaging strategies, options-based hedging overlays, and multi-asset allocation within the Gen2 DAT framework.

“We view large language models as a decision-support layer, not a replacement for disciplined risk management,” said Eric Jackson, expected CEO and Chairman of EMJX upon closing of the combined company. “Using OpenAI’s latest models allows us to accelerate how we ingest information, stress-test scenarios, and adapt strategy across market cycles — while keeping portfolio construction and risk controls grounded in quantitative models and human oversight.”

About EMJX
EMJX is a Gen2 digital-asset treasury operating system designed to manage multi-asset digital holdings using quantitative models, artificial intelligence, and systematic risk controls. The platform emphasizes transparency, governance, and disciplined capital allocation across varying market environments. For more information, please visit www.emjx.ai.

Forward-Looking Statements
This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Words such as “believe,” “expect,” “intend,” “aim,” “plan,” “may,” “could,” “target,” and similar expressions are intended to identify forward-looking statements. These statements are based on current expectations and assumptions that are subject to risks and uncertainties that could cause actual results to differ materially from those expressed or implied. These risks include, but are not limited to, the ability to complete the proposed transaction, shareholder approvals, market conditions, regulatory considerations, and other risks described in the Company’s filings with the Securities and Exchange Commission. Forward-looking statements speak only as of the date made, and the Company undertakes no obligation to update them, except as required by law.

Company Contact
SRx Health Solutions, Inc.
Kent Cunningham, Chief Executive Officer

Investor Relations
KCSA Strategic Communications
Valter Pinto, Managing Director
212-896-1254
valter@kcsa.com

Media Contact
KCSA Strategic Communications
Kristin Cwalinski, Senior Vice President
EMJX@KCSA.com

FAQ

What did SRXH announce on Dec 19, 2025 about EMJX and OpenAI?

SRXH said EMJX is integrating OpenAI’s latest commercial large language models into its Gen2 DAT QAM Engine to support research and risk-decision workflows.

How will the OpenAI LLM integration affect EMJX’s risk management for SRXH?

The company says LLMs will improve synthesis of market, macro, and protocol data to support portfolio construction, volatility management, and decision support while keeping human oversight.

Does the announcement specify a closing date for SRXH’s acquisition of EMJX?

The announcement notes a definitive agreement to acquire EMJX but does not provide a closing date.

Who will lead EMJX after the SRXH acquisition closes?

Eric M. Jackson is described as the platform leader and is expected to be CEO and Chairman of EMJX upon closing.

What parts of EMJX’s platform are being enhanced with OpenAI models?

OpenAI models are being incorporated into the proprietary QAM Engine and broader Gen2 Digital Asset Treasury architecture for analytics and research.

Will the OpenAI integration replace human oversight at EMJX?

No; the company states LLMs are intended as a decision-support layer while retaining human oversight and established quantitative controls.