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“Japan Home” Singapore Stores Resume Operations

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Local Franchise Model to Enhance Operational Efficiency and Support Sustainable Growth

SINGAPORE – Media OutReach Newswire – 20 August 2026 – International Housewares Retail Company Limited (“IH Retail” or the “Group”, stock code: 1373), the parent company and owner of the “Japan Home” brand in Singapore, is pleased to announce that all “Japan Home” stores in Singapore have resumed operations and are open for business.

Following the completion of the transition arrangements, all relevant stores have reopened on 20 August 2026.

On 13 August 2026, an indirect subsidiary of the Group entered into a three-year master franchise agreement with the Singapore master franchisee, Radha Export Pte. Ltd (“Radha”), the company which is the engine behind the ABC and Valu$ stores in Singapore, and completed the handover of the existing stores on 19 August 2026. The agreement grants the master franchisee the exclusive right to operate the “Japan Home” business in Singapore, including through sub-franchisees, and to establish additional outlets at suitable locations.

Radha combines extensive experience in consumer goods and wholesale distribution with strong local operational expertise and a well-established supply chain network. By leveraging the Radha’s local capabilities, the Group expects to enhance store operating efficiency, improve its responsiveness to market demand and maintain strong brand awareness in Singapore. The local franchise model is also expected to support the continued expansion of the “Japan Home” brand’s reach and influence in Singapore and across the Southeast Asian market over the next three years.

This strategic restructuring represents an important step in optimizing the Group’s regional business structure, improving operational quality and enhancing efficiency. The Group remains confident in the long-term development of the Singapore market and is committed to ensuring customers continue to enjoy shopping at “Japan Home” stores in Singapore.

Hashtag: #JapanHome

The issuer is solely responsible for the content of this announcement.

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Phancy 2026 Interim Results: Revenue Up 43.4%, API Revenue Up 860.8%, Turnaround to Profit

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HONG KONG SAR – Media OutReach Newswire – 20 August 2026 – Phancy Group Co., Ltd. (“Phancy” or “the Group”, stock code: 6682.HK), a leading enterprise AI cloud service platform, today announced its interim results for the six months ended June 30, 2026 (“the period”).

During the period, the Group achieved revenue of RMB3,765 million, representing a 43.4% year-on-year increase. Gross profit amounted to RMB1,233 million, with an overall gross profit margin of 32.8%. Profit attributable to owners of the parent company amounted to RMB119 million, while adjusted profit attributable to owners of the parent company amounted to RMB150 million. Both measures turned profitable, reflecting continued improvement in operational efficiency and profitability alongside the expansion of the Group’s business scale.

The Group’s three major business segments developed in synergy. The API business recorded revenue of RMB464 million, representing a year-on-year increase of 860.8%, and became a key growth driver for the Group. The AI Platform business recorded revenue of RMB3,088 million, representing a year-on-year increase of 30.0%. The Agentic AI business recorded revenue of RMB214 million, representing a year-on-year increase of 4.9%.

Dr. Dai Wenyuan, Founder, Chairman and Chief Executive Officer of Phancy, said: “In the first half of 2026, the Group accelerated revenue growth and further improved profitability, supported by the coordinated development of our AI Platform, API and Agentic AI businesses. The AI Platform continued to strengthen our core business foundation, while the API business delivered breakthrough growth by leveraging the capabilities of the Token Factory, becoming an important growth engine for the Group.

Looking ahead, we will capitalize on the opportunities arising from the large-scale adoption of enterprise AI, apply our technological and operational strengths to deepen synergies between the AI Platform and API businesses, and focus our Agentic AI business on high-value industry applications. We remain committed to maintaining high-quality growth and operational efficiency while creating long-term, sustainable value for our clients and shareholders.”

Token Factory Drives Breakthrough Growth in the API Business

During the period, the API business sustained its strong growth momentum and recorded revenue of RMB464 million, representing a year-on-year increase of 860.8%, supported by enhanced Token service capabilities and growing client demand. In the first half of 2026, Token consumption grew by approximately 620% year on year. As of the end of the period, the Group’s available computing power resources increased to 28,000 PFLOPS, supporting the expansion of Token service capacity and future development of the API business.

In the first half of 2026, the Group continued to enhance its API service capabilities. As one of the Group’s core technology platforms, ModelHub has accumulated more than 200,000 “model x chip” adaptation combinations, creating an increasingly significant scale advantage and enabling the Group to meet growing demand for AI model calls from enterprises and developers in Mainland China and overseas markets.

The “Token Factory” is not a standalone product, but an integrated production and operational framework connecting heterogeneous computing resources, models and enterprise applications. Leveraging core technologies including HAMi vGPU and ModelHub, the Group has established end-to-end capabilities spanning computing resource scheduling, model adaptation, and Token production and delivery, creating a complete value chain from computing resources to Token services and enabling clients to use AI services with greater stability, efficiency and cost-effectiveness.

The Group will continue to optimize the allocation of computing power resources in line with business needs and enhance the production and delivery capabilities of its Token services. As AI adoption expands across a broader range of use cases, the API business is expected to further unlock its growth potential and create increasing commercial value as it scales.

Enterprise Private Deployments Strengthen the AI Platform’s Core Business Foundation

During the period, the AI Platform business achieved revenue of RMB3,088 million, representing a year-on-year increase of 30.0%. The Group’s orders on hand amounted to approximately RMB7 billion. Supported by broader client coverage, a steady increase in the number of paying clients and growing revenue contributions from major high-quality clients, the AI Platform business maintained steady growth and remained a stable contributor to the Group’s revenue.

During the period, the number of paying clients with RISE vGPU, the commercial version of HAMi vGPU, as their primary requirement increased approximately 5-fold year on year. As the adoption of heterogeneous computing resources continues to expand, enterprises’ needs for more effective computing power and higher resource utilization efficiency are also increasing, creating further growth opportunities for the Group’s related products and services.

As AI applications become increasingly integrated into enterprises’ core business processes, clients’ requirements for data security, operational autonomy and control, flexible integration and long-term operations continue to increase, highlighting the importance of private deployment of enterprise AI. The Group continues to provide clients across the energy, manufacturing, financial services, retail and telecommunications sectors with full-stack capabilities encompassing unified heterogeneous computing resource management, model adaptation and optimization, and the deployment and operation of enterprise AI applications, supporting clients in expanding AI applications from individual projects to a broader range of business scenarios.

Agentic AI Focuses on High-Value Applications and Explores Result-as-a-Service Model

During the period, the Agentic AI business continued to operate steadily, recording revenue of RMB214 million, representing a year-on-year increase of 4.9%. The Group continued to pursue a focused development strategy, prioritizing investment in industry applications with significant strategic value and the potential to accumulate high-quality, industry-specific data, thereby supporting the long-term development of its business value and industry capabilities.

In terms of its business model, the Group further promoted its result-as-a-service (RaaS) cooperation model in high-value industry applications, including energy and entertainment industries. Rather than simply selling standardized products, the Group works closely with clients throughout their business processes, using AI to reduce costs, improve efficiency and generate incremental revenue. Commercial arrangements are linked to the value actually delivered. As the relevant projects continue to progress, the Group aims to further deepen these client relationships while accumulating real-world industry experience and know-how, creating favorable conditions to further scale the relevant capabilities.

Looking ahead, the Group will continue to maintain a focused approach to investment and prioritize business areas capable of creating long-term client value and economies of scale.

Operational Efficiency and Resource Support Enable Business Expansion

During the period, the Group’s research and development (R&D) expenses amounted to RMB1,208 million, up 35.2% year on year, and R&D expense stood at 32.1%. As of the end of the period, the Group had accumulated more than 500 invention patents. The Group continued to focus on strengthening core AI infrastructure capabilities, including HAMi and ModelHub, and further enhanced its capabilities in heterogeneous computing power management, model adaptation and enterprise AI services, supporting the coordinated development of the AI Platform, API and Agentic AI businesses while further enhancing product iteration, client delivery and operational efficiency.

In the first half of the year, the Group strategically increased its computing power resource reserves to support the continued capacity expansion of Token service capacity and meet growing client demand. Capital expenditures amounted to RMB2,237 million. At the same time, the Group had aggregate credit facilities of approximately RMB6,616 million and total borrowings of RMB1,660 million, providing financial support for the deployment of computing power assets and business development. The Group will continue to allocate resources in line with its business development needs and balance capital investment, business growth and profitability.

The Group’s selling and marketing expenses amounted to RMB28 million, representing a year-on-year decrease of 85.0%, while selling and marketing expenses as a percentage of revenue decreased to 0.75%, primarily due to increased client recognition and enhanced product capabilities. While maintaining investment in core technologies, the Group will continue to optimize resource allocation and operational efficiency and enhance the quality of business growth.

Dual Growth Engines Driving Long-Term Value Creation

Looking ahead, enterprise AI applications are gradually moving from pilot programs toward large-scale adoption and continuing to expand into a broader range of core business areas. Enterprises’ requirements for data security, operational autonomy and control, and deep integration with business processes will continue to drive the development of the private AI Platform deployment market. At the same time, the wider adoption of Agentic AI applications and rapid growth in Token demand are expected to drive continued demand for efficient, stable and scalable Token services.

Leveraging its neutral, full-stack AI capabilities and extensive experience serving enterprise clients, the Group will continue to enhance its technology, delivery and operational capabilities. While maintaining a disciplined approach to operations, the Group will support the steady growth of the AI Platform business, steadily advance the development of the Token Factory and the API business, and focus the Agentic AI business on industry applications with long-term value, creating sustainable value for clients and shareholders.

Hashtag: #Phancy

The issuer is solely responsible for the content of this announcement.

About Phancy Group

Phancy Group (6682.HK) is a leading full-stack AI cloud services platform, providing comprehensive solutions for the AI 2.0 era. Our offerings include 4ParadigmSage AIOS, HAMi vGPU and ModelHub XC, delivering efficient and scalable AI infrastructure with end-to-end capabilities. We provide a complete solution from heterogeneous compute resource management and optimization to the deployment of intelligent agent models. These solutions empower digital transformation across a wide range of industries, supporting our vision of building a large-scale and efficient “Token Factory.”

Guided by the mission of “AI for Everyone” and positioned as the “Navigator of AI,” Phancy Group is committed to becoming a global leader in Artificial General Intelligence.

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Olymptrade partners with HOPE Worldwide Malaysia for a charitable mission in Kuala Lumpur

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KUALA LUMPUR, MALAYSIA – Media OutReach Newswire – 20 August 2026 – Olymptrade, a global trading platform, partnered with HOPE Worldwide Malaysia on a charity initiative to support food distribution and healthcare access for low-income families in Kuala Lumpur.

HOPE Worldwide Malaysia is a non-profit organization founded in 2000. It supports urban low-income households and marginalized communities through food assistance, healthcare access and community wellbeing programs across the country.

On August 15, the partners held a food distribution event near the Sentul Free Clinic, handing out 180 care boxes to impoverished families. Each box contained 10 kg of rice, flour, cooking oil, dried noodles, canned food, a choco malt drink, biscuits, potatoes and vegetables.

Olymptrade also contributed to HOPE’s Health & Wellbeing Program, which supports both the Sentul Free Clinic of HOPE and mental wellness training for community members.

The Sentul clinic, one of the NGO’s major projects, has been offering free, high-quality healthcare to local marginalized communities since 2000, treating more than 80,000 patients, including children and the elderly. Olymptrade’s donation will cover two months of the clinic’s operations, covering doctors’ salaries, medical supplies, program allowances and facility upkeep.

Olymptrade’s donation will also fund three months of wellness training for 25 women, led by a qualified mental wellness facilitator. The program is designed to help mothers build emotional resilience, so they’re better equipped to support and guide their own children.

This isn’t Olymptrade’s first charity campaign. The company has run similar missions in other countries where it operates, including Indonesia, Nigeria, Brazil, India and others, partnering with well-known local charities each time.

The Kuala Lumpur campaign follows the same model, pairing immediate relief with a longer-term investment in healthcare and wellness.

Olymptrade sees this combination as key to helping communities not just today, but for years to come. It also hopes the initiative will raise broader awareness of the food security challenges many Malaysian families continue to face.

Hashtag: #Olymptrade

The issuer is solely responsible for the content of this announcement.

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ExcelScale Launches in Malaysia with Unified AI Platform Giving Enterprises Access To 100+ AI Models Through a Single API

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New platform lets Malaysian organisations tap leading AI models through one OpenAI-compatible API, helping them scale AI adoption with stronger governance, security, and cost control.

KUALA LUMPUR, MALAYSIA – Media OutReach Newswire – 20 August 2026 – ExcelScale has officially launched its unified AI infrastructure platform in Malaysia, giving organisations access to more than 100 leading AI models through a single OpenAI-compatible API. The platform addresses a challenge that has become increasingly familiar to Malaysian enterprises moving AI beyond pilot projects: it is no longer difficult to access AI models, but it is difficult to integrate them securely and manageably at scale, with separate provider accounts, APIs, billing systems, and governance requirements adding complexity just as businesses try to expand adoption.

As Malaysian organisations extend AI use across software development, research, content production, data analysis and internal workflows, many are managing multiple AI providers at once. This gives them greater choice, but it also raises new challenges around interoperability, governance, and operational oversight as adoption spreads across more teams and functions.

“Enterprise AI has reached a stage where access is no longer the main barrier. The greater challenge is bringing different AI capabilities together in a way that stays practical, secure, and manageable for the business,” said Mr Todd Abraham, General Manager of ExcelScale.

“The next stage of enterprise AI won’t be defined by how many models organisations can access, but by how effectively they can integrate and manage them. Businesses want the flexibility to choose the right model for each task without maintaining a separate technical environment every time. ExcelScale was built to provide that consistent foundation, so teams can focus on building useful AI applications instead of managing fragmented systems.”

Through a standardised API, organisations could connect to models supporting text generation, visual recognition, voice synthesis, video creation, and data analysis without rebuilding their integrations for each provider, letting technical teams choose models by workload while keeping a consistent development and deployment process. Enterprise features including access controls, API key management, configurable model permissions, Virtual Private Cloud deployment options and usage monitoring help businesses manage AI services more consistently, while a centralised dashboard gives oversight of API requests, token consumption, and costs.

For businesses, this cuts the need to manage multiple disconnected systems as AI initiatives grow, freeing up time spent maintaining infrastructure for developing applications that support productivity, innovation, and operational improvement.

“As AI becomes part of everyday business operations, organisations need infrastructure that can evolve alongside the technology. Our vision is to help businesses adopt AI with greater clarity and control,” said Mr Todd.

“By simplifying the layer between organisations and the models they use, we hope to make it easier for more enterprises to turn AI capabilities into practical, sustainable business applications.”

For more information about ExcelScale, visit https://excelscale.com/.

Hashtag: #Excelscale

The issuer is solely responsible for the content of this announcement.

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