Global Mofy AI Limited Establishes U.S. Subsidiary Eaglepoint AI, Advancing Global AI Training and Data Engineering Capabilities

Rhea-AI Summary

Global Mofy AI (Nasdaq: GMM) announced the formation of U.S. subsidiary Eaglepoint AI Inc. on Jan. 5, 2026, in which Global Mofy holds a 51% controlling interest via its U.S. subsidiary GMM Discovery LLC.

Eaglepoint AI positions itself for high-quality data labeling, data governance, and AI model training support and has developed Aquila, an internal workflow tool optimized for automated validation of Claude, GPT, Google Gemini, and ByteDance Seed 1.6. The operating model pairs U.S. data governance and compliance with engineering execution in Ethiopia, citing alignment with Digital Ethiopia 2025 and a GSMA projection that AI could add $2.9 trillion to Africa's economy by 2030.

Positive

• 51% controlling interest in new Delaware subsidiary
• Aquila tool optimized for Claude, GPT, Google Gemini, ByteDance Seed 1.6
• U.S. governance combined with East Africa engineering execution
• Alignment with Digital Ethiopia 2025 and GSMA $2.9T Africa AI projection

Negative

• None.

News Market Reaction

+12.70%

5 alerts

+12.70% News Effect

+5.1% Peak in 4 hr 13 min

+$8M Valuation Impact

$70M Market Cap

1.2x Rel. Volume

On the day this news was published, GMM gained 12.70%, reflecting a significant positive market reaction. Argus tracked a peak move of +5.1% during that session. Our momentum scanner triggered 5 alerts that day, indicating moderate trading interest and price volatility. This price movement added approximately $8M to the company's valuation, bringing the market cap to $70M at that time.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Controlling interest: 51% AI impact Africa: $2.9 trillion

2 metrics

Controlling interest 51% Ownership stake in Eaglepoint AI via GMM Discovery LLC

AI impact Africa $2.9 trillion Projected AI contribution to Africa’s economic growth by 2030 (GSMA)

Market Reality Check

Price: $1.43 Vol: Volume 20,911 is 0.69x th...

low vol

$1.43 Last Close

Volume Volume 20,911 is 0.69x the 20-day average of 30,109, indicating subdued activity versus recent norms. low

Technical Shares at $1.26 are trading below the $2.30 200-day moving average, reflecting a longer-term downtrend despite today’s gain.

Peers on Argus

Several tech service peers like NOTE (+6.71%), WYY (+5.83%), TDTH (+13.76%) and ...

Several tech service peers like NOTE (+6.71%), WYY (+5.83%), TDTH (+13.76%) and CTM (+6.42%) also showed gains, while BTCM fell (-3.19%). Scanner data did not flag a coordinated sector-wide move, suggesting GMM’s +6.78% advance was more company-specific.

Historical Context

5 past events · Latest: Dec 19 (Neutral)

Pattern 5 events

Date	Event	Sentiment	Move	Catalyst
Dec 19	Private placement close	Neutral	+3.0%	Closed US$4.8M private placement to fund corporate and AI platform expansion.
Dec 05	Financing announcement	Neutral	+0.0%	Announced US$4.8M private placement for working capital and AI infrastructure.
Nov 03	Government delegation visit	Positive	-2.0%	Hosted CAITEC visit on e‑commerce planning and showcased 3D asset capabilities.
Oct 21	AI forum participation	Positive	-1.0%	Led “AI + 3D” roundtable and highlighted generative AI and Gausspeed progress.
Oct 14	Content partnership news	Positive	+0.4%	Subsidiary Mofy VFX contributed VFX to key iQIYI titles using 3D assets.

Pattern Detected

Recent news often produced modest price reactions, with positive strategic updates sometimes met with mild declines, indicating occasional divergence between headlines and short-term trading.

Recent Company History

Over the last few months, Global Mofy reported financing, strategic engagement, and AI ecosystem developments. A US$4.8M private placement in Dec 2025 modestly lifted the stock. Earlier government and academic collaborations in Oct–Nov 2025 around e-commerce planning and “AI + 3D” saw small negative or muted moves. Today’s U.S. Eaglepoint AI launch and cross-regional data engineering focus extend the company’s prior AI infrastructure and Africa-related initiatives, continuing its global expansion trajectory.

Market Pulse Summary

The stock surged +12.7% in the session following this news. A strong positive reaction aligns with G...

Analysis

The stock surged +12.7% in the session following this news. A strong positive reaction aligns with Global Mofy’s pattern of investors rewarding concrete AI infrastructure steps. The +6.78% move came while shares still traded well below the $2.30 200-day average and 74.67% under the 52-week high, framing Eaglepoint AI and Aquila as potential repositioning catalysts. Past AI news produced smaller average moves of 2.72%, so sustainability often depended on follow-through execution rather than headlines alone.

Key Terms

data labeling, data governance, large language model, prompt engineering, +3 more

7 terms

data labeling technical

"dedicated to high-quality data labeling, data governance, and AI model training"

Data labeling is the process of attaching clear, human-made tags or notes to raw information—like marking people, objects, or categories in photos, transcribing speech, or classifying text—so machine learning systems can learn from it. For investors, labeling quality and scale matter because they determine how well AI products perform, how costly and time-consuming development is, and how defensible a company’s technology is against competitors and regulation; think of it as the foundation and accuracy of a building.

data governance technical

"dedicated to high-quality data labeling, data governance, and AI model training support"

Data governance is the set of rules and practices that ensure information is accurate, consistent, and used responsibly within an organization. It is like a well-organized library system that keeps track of all the books, making sure they are correct, easy to find, and used properly. For investors, strong data governance helps ensure that the information they rely on is trustworthy and decisions are based on reliable data.

large language model technical

"required by global machine learning teams and Large Language Model (LLM) developers"

A large language model is a computer system trained on vast amounts of text to understand and generate human-like writing, like a very well-read virtual assistant that can summarize, draft, translate, or answer questions. Investors care because it can change how businesses operate and compete—boosting productivity, cutting costs, or enabling new products—while also creating risks around accuracy, regulation, and security that can affect revenue and valuation.

prompt engineering technical

"Aquila streamlines prompt engineering, test case construction, and automated execution"

Prompt engineering is the practice of carefully crafting the words, examples and structure used to ask an AI system for information or tasks so its responses are accurate and useful. For investors, effective prompt engineering improves the reliability of automated research, earnings summaries, regulatory drafts and screening tools — like using a precise recipe so a complex dish turns out consistently — while poor prompts can produce misleading, incomplete or risky outputs.

batch testing technical

"supporting batch testing and comparative analysis across multi-model environments"

Batch testing is the laboratory checking of a group of products or samples made at the same time to confirm they meet quality, safety and performance standards. Like tasting a few cookies from a single batch to decide if the whole tray is good, batch testing tells investors whether manufacturing is consistent and compliant, which affects the risk of recalls, regulatory approval, production delays and the company’s costs and revenue reliability.

comparative analysis technical

"supporting batch testing and comparative analysis across multi-model environments"

Comparative analysis is the process of evaluating a company's financial results, business metrics, or strategic moves side-by-side with competitors, industry averages, or its own past performance to reveal strengths, weaknesses and trends. For investors, it helps show which firms are over- or under-performing, where risks and opportunities lie, and which investments may offer better value. Think of it like comparing cars by fuel efficiency, price and safety to pick the best overall buy.

ai lifecycle technical

"workflow tool that enables end-to-end management of the AI lifecycle"

The AI lifecycle is the full journey of an artificial intelligence system from idea and data collection through building, testing, deployment, ongoing monitoring, updates, and eventual retirement—like designing, launching, and maintaining a machine so it keeps working well. Investors care because how a company manages this cycle affects costs, reliability, regulatory and reputation risk, and the ability to keep improving the product, all of which influence long‑term returns.

AI-generated analysis. Not financial advice.

BEIJING, Jan. 05, 2026 (GLOBE NEWSWIRE) -- Global Mofy AI Limited (the “Company” or “Global Mofy”) (Nasdaq: GMM), a generative AI-driven technology solutions provider engaged in virtual content production and the development of 3D digital assets for use in the broader digital content industry, today announced the strategic expansion of its global AI infrastructure through the establishment of Eaglepoint AI Inc. (“Eaglepoint AI”). The Company holds a 51% controlling interest in the new Delaware-based entity through its wholly-owned U.S. subsidiary, GMM Discovery LLC. This venture represents a high-level collaboration with an elite team of engineering and data professionals from the United States, Germany, and Ethiopia, featuring core members with extensive experience in data engineering and agent training at industry pioneers such as Google, Amazon, and OpenAI.

As a technology firm dedicated to high-quality data labeling, data governance, and AI model training support, Eaglepoint AI is positioned to provide the stable and scalable foundational services required by global machine learning teams and Large Language Model (LLM) developers. To facilitate these large-scale tasks, the Eaglepoint AI team has developed Aquila, a proprietary internal training and evaluation workflow tool that enables end-to-end management of the AI lifecycle. Aquila streamlines prompt engineering, test case construction, and automated execution while supporting batch testing and comparative analysis across multi-model environments. The tool is currently optimized for the automated validation of mainstream models including Claude, GPT, Google Gemini, and ByteDance Seed 1.6, significantly enhancing efficiency and consistency in cross-model training.

This strategic expansion enhances a cross-regional operating model in which U.S.-based data governance, security, and compliance frameworks define project standards and workflows, while engineering execution and data production are carried out by dedicated teams in East Africa. By leveraging Ethiopia’s emerging position as a leader in the "Global South" technological landscape—bolstered by the Ethiopian Artificial Intelligence Institute and the "Digital Ethiopia 2025" initiative—Eaglepoint AI taps into a robust pipeline of tech talent. This move aligns with GSMA (Global System for Mobile Communications Association) projections that AI will contribute approximately $2.9 trillion to Africa’s economic growth by 2030, allowing Global Mofy to build a sustainable and cost-effective data supply chain that serves the evolving needs of the global AI ecosystem.

Mr. Haogang Yang, Chairman and CEO of Global Mofy, emphasized that,“The formation of Eaglepoint AI Inc. represents a pivotal upgrade to the Company’s global infrastructure, noting that the competition for enterprise-level AI is shifting from raw compute power toward the quality and governance of data systems. By bridging U.S. market standards with East African engineering execution, the Company is establishing a complete link between foundational data and model experimentation. This integrated approach is designed to transform data from a raw resource into a scalable productive force, providing certain and sustainable value to global clients as they navigate the complexities of the digital economy.”

About Global Mofy AI Limited
Global Mofy AI Limited (Nasdaq: GMM) is a generative AI-driven technology solutions provider engaged in virtual content production, and the development of digital assets for the digital content industry. Utilizing its proprietary “Mofy Lab” technology platform, which consists of interactive 3D and artificial intelligence (“AI”) technology, the Company creates high-definition virtual versions of a wide range of physical world objects in 3D ranging from characters, objects to scenes and more. The digital assets can be used in different applications, including movies, TV series, AR/VR, animation, advertising, gaming, and more. Global Mofy is one of the leading digital asset banks in China, which consists of more than 100,000 high-precision 3D digital assets. For more information, please visit www.globalmofy.ai or ir.globalmofy.cn.

Forward-Looking Statement
This press release contains forward-looking statements. Forward-looking statements include statements concerning plans, objectives, goals, strategies, future events or performance, and underlying assumptions and other statements that are other than statements of historical facts. When the Company uses words such as “may,” “will,” “intend,” “should,” “believe,” “expect,” “anticipate,” “project,” “estimate” or similar expressions that do not relate solely to historical matters, it is making forward-looking statements. These forward-looking statements include, without limitation, the Company’s statements regarding the expected trading of its Ordinary Shares on the Nasdaq Capital Market and the closing of the Offering. Forward-looking statements are not guarantees of future performance and involve risks and uncertainties that may cause the actual results to differ materially from the Company’s expectations discussed in the forward-looking statements. These statements are subject to uncertainties and risks including, but not limited to, the uncertainties related to market conditions and the completion of the initial public offering on the anticipated terms or at all, and other factors discussed in the “Risk Factors” section of the registration statement filed with the SEC. For these reasons, among others, investors are cautioned not to place undue reliance upon any forward-looking statements in this press release. Additional factors are discussed in the Company’s filings with the SEC, which are available for review at www.sec.gov. The Company undertakes no obligation to publicly revise these forward-looking statements to reflect events or circumstances that arise after the date hereof.

For more information, please contact:
Global Mofy AI Ltd.
Investor Relations Department
ir@mof-vfx.com

FAQ

What did Global Mofy (GMM) announce on January 5, 2026?

Global Mofy announced the formation of U.S. subsidiary Eaglepoint AI Inc. in which it holds a 51% controlling interest.

How does Eaglepoint AI plan to support AI model training for GMM (GMM)?

Eaglepoint AI will provide data labeling, data governance, and AI model training support using its internal workflow tool Aquila for end-to-end lifecycle management.

Which AI models is Eaglepoint AI’s Aquila tool optimized to validate for GMM (GMM)?

Aquila is currently optimized for automated validation of Claude, GPT, Google Gemini, and ByteDance Seed 1.6.

What is the geographic operating model for Eaglepoint AI announced by Global Mofy (GMM)?

The model pairs U.S.-based data governance and compliance with engineering execution and data production by teams in Ethiopia.

How does the Eaglepoint AI expansion relate to Ethiopia initiatives and economic projections?

The company cites alignment with Digital Ethiopia 2025 and references a GSMA projection that AI could add $2.9 trillion to Africa's economy by 2030.