Global Mofy AI Limited (Nasdaq: GMM) has created a Delaware‑based subsidiary, Eaglepoint AI Inc., in which it holds a 51% controlling stake. The new entity is positioned to strengthen the company’s global AI infrastructure by combining U.S. data‑governance and security standards with engineering talent in East Africa, particularly Ethiopia, where the company is building a sizable data‑labeling workforce under the Digital Ethiopia 2025 initiative.
Eaglepoint AI will deliver data‑labeling, data‑governance, and AI‑model‑training services to large‑scale machine‑learning teams and large‑language‑model developers. The subsidiary also introduced Aquila, an internal workflow tool that automates prompt engineering, test‑case construction, and cross‑model evaluation for mainstream models such as Claude, GPT, Google Gemini, and ByteDance Seed 1.6. By streamlining these processes, Eaglepoint AI aims to reduce turnaround times and improve model quality for its clients.
Financially, Global Mofy AI reported a 41.74% year‑over‑year revenue increase to $26.7 million, while earnings per share fell from $5.40 to $0.87, reflecting a shift toward higher‑margin AI services and the impact of a $4.8 million private‑placement financing that the company used to fund product development and infrastructure expansion. The new subsidiary is expected to contribute incremental revenue in the coming quarters, but the company has not yet provided specific projections for Eaglepoint AI’s financial impact.
The East African engineering team is composed of professionals with experience at Google, Amazon, and OpenAI, and the company is leveraging Ethiopia’s growing tech ecosystem to scale data‑labeling operations cost‑effectively. This geographic diversification also mitigates geopolitical risk and aligns with U.S. compliance frameworks, positioning Global Mofy AI to serve clients that require strict data‑governance standards.
The data‑labeling market is highly competitive, with key players such as Scale AI, Appen, and Lionbridge. Eaglepoint AI’s focus on integrating governance tools and a proprietary workflow platform gives it a differentiation advantage, potentially capturing market share from firms that rely on more fragmented solutions. The company’s CEO, Haogang Yang, emphasized that the shift in AI competition is moving from raw compute power to data quality and governance, underscoring the strategic importance of this expansion.
Investors responded positively to the announcement, reflecting confidence in Global Mofy AI’s strategy to build a scalable, compliant data supply chain that supports its broader AI‑driven content‑creation business.
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