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Fushi Tech Unveils AI Agent Strategy Targeting Overseas Merchants

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SINGAPORE – Media OutReach Newswire – 20 May 2026 – Fushi Tech, a subsidiary of Yeahka (9923.HK), has announced a strategic upgrade with the launch of Fynix AI shop, a Full-stack AI Agent product purpose-built for overseas merchants.

Unlike conventional marketing tools or customer service systems, Fynix AI shop is designed to function as a genuine “digital employee” — one that actively participates in day-to-day business operations. It understands merchant needs, breaks down tasks, and executes them autonomously, supporting merchants across the full commercial cycle of customer acquisition, conversion, payment, and repeat purchases.

This is not simply a product update. It marks a fundamental shift in how merchants approach digital operations — and signals Fushi Tech’s evolution from a traditional SaaS provider to an AI Agent platform.

AI Agents: The Next Generation of Business Infrastructure

Enterprise digitalisation has, for much of the past decade, remained largely at the tooling stage: merchants adopt SaaS tools and then operate manually. However, as large language models continue to mature, AI is shifting from an assistive tool to an autonomous executor.

The defining value of an AI Agent lies not in answering questions, but in its ability to understand purposes, call on the right tools, complete tasks end to end, and close the loop without human intervention. Across the global technology industry, AI Agents are increasingly seen as the next major shift in enterprise software.

According to IDC, investments in AI solutions and services are projected to yield a global cumulative impact of USD 22.3 trillion by 2030, representing approximately 3.7% of the global Gross Domestic Product (GDP).

The trend is already taking shape in international markets. Salesforce has launched Agentforce, while emerging players such as Sierra AI are attracting significant capital, with the industry broadly applying valuation multiples of 30 to 60 times ARR to leading companies. These figures reflect the market’s long-term expectation in the commercial value of AI-powered employees.

For Fushi Tech, the launch of Fynix AI shop is also a response to a structural gap it has observed over years of serving merchants across Southeast Asia.

Many small and mid-sized merchants in the region still operate through fragmented digital systems — with point-of-sale, CRM, marketing, delivery, and customer service tools running in silos, data unable to flow between them, and key operational tasks still heavily dependent on manual effort. Merchants may have adopted software, but genuine gains in operational efficiency have remained elusive. AI Agents now make a unified operational hub possible for the first time.

Fushi Tech’s goal is not to optimize isolated steps in the process, but to have AI directly execute business operations on the merchant’s behalf. With AI Shop, merchants don’t learn to operate software — they manage an employee. This shift reflects a broader transformation underway in enterprise services — from selling tools to delivering outcomes.

A growing consensus is also emerging across the AI industry: as the underlying capabilities of large models converge, the real differentiator is increasingly a company’s ability to connect AI with real-world business.

Fushi Tech has positioned itself accordingly. Where many Western AI companies focus primarily on model capabilities and generative AI, Fushi Tech emphasizes deep integration across payments, CRM, and AI — keeping its offering close to the transaction itself.

Fynix AI shop is beyond a chatbot, it connects to a complete operational ecosystem: drawing on CRM data to understand customers, processing transactions through the payments infrastructure, and integrating with external platforms including WhatsApp, Telegram, Google, and delivery services.

This means AI is no longer simply capable of conversation — it is genuinely capable of doing business. And that is precisely the hardest part of bringing AI Agents to market at scale. The challenges extend well beyond algorithms, requiring engineering depth, merchant networks, payments infrastructure, and years of accumulated industry knowledge. In this sense, the companies best placed to build durable competitive advantages in AI may not be pure-play model providers, but those capable of embedding AI directly into real industry workflows.

From “SaaS Tool” to “AI Employee”

At the product level, Fynix AI shop exhibits the hallmarks of a digital employee, executing tasks autonomously across the merchant’s full operational cycle. Its core capabilities include:

  • Content generation: Automatically creates menu pages, product listings, and marketing materials
  • Intelligent conversation: Guides customers through product recommendations, conversion, and order placement in a natural, sales-driven interaction
  • In-conversation payments: Completes transactions directly within the chat interface
  • Customer management: Builds and continuously refines consumer profiles using CRM data
  • Ecosystem integration: Connects with external tools including WhatsApp, Telegram, Google, and delivery services

Across the merchant journey, Fynix AI shop extends into use cases spanning store setup, customer acquisition, membership management, appointment booking, review management, and delivery platform integration.

In a customer re-engagement scenario, for instance, Fynix AI shop can automatically analyse purchase cycles, preferences, and dormancy patterns across the customer base, and provide campaign recommendations to the merchant. Once approved, the Agent generates the relevant vouchers and delivers personalized content to customers via the merchant app, Telegram, or other channels — tracking performance throughout.

In practice, merchants no longer need to manually review data, write copy, or repeatedly devise marketing strategies from scratch. Nor do they need to configure complex rules or adjust system parameters in the CRM backend. A single natural language instruction sets the entire workflow in motion — freeing merchants to focus on higher-level business decisions.

This reflects a deeper transformation that AI is bringing to the commercial world. Digitalization gave businesses better information. AI Agents are now giving them the ability to take action.

Whoever can genuinely help merchants get things done will be best positioned to own the next platform layer.

In that light, Fynix AI shop is more than a new product launch. It is an early attempt to define what enterprise services could look like in the years ahead — and a signal of where the industry is heading.

In fast-growing emerging markets like Southeast Asia, where digitalization among small and mid-sized merchants is still in its early stages, AI Agents may have the opportunity to leapfrog the traditional SaaS development curve and move directly into an era of intelligent operations.

For Yeahka, this also marks a meaningful evolution in its overseas strategy — from exporting payments capabilities alone, to delivering an integrated ecosystem spanning payments, data, and AI.

As AI takes an increasingly active role in business operations, the value chain of the enterprise services industry is being fundamentally redefined.

Hashtag: #FushiTech

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

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Expereo Achieves EcoVadis Silver Rating for Sustainable Supply Chain Performance

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SINGAPORE – Media OutReach Newswire – 21 May 2026 – Expereo, the world-leading Managed Network-as-a-Service (NaaS) provider, announced it has been awarded an EcoVadis Silver Rating ranking in the 92nd percentile and placing among the top 15% of its industry category this year. This reflects a 10-point improvement from its previous Bronze rating, strengthening the company’s position in sustainable supply chain performance, ESG governance and responsible business practices.

The company recorded gains across all four EcoVadis assessment pillars: Environment, Labour and Human Rights, Ethics, and Sustainable Procurement. The strongest improvements came in Environment, up 10 points, and Labour and Human Rights, which rose 19 points year-on-year, with the latter independently validated by Expereo’s Great Place to Work UAE Certification for 2026 and Singapore Employee Experience of the Year win at the Asian Experience Awards 2025.

Commenting on the recognition, Ben Elms CEO Expereo, said, “We are incredibly proud of this achievement. Moving from a Bronze to a Silver rating in just a year reflects the progress our teams have made in embedding sustainability across our operations, procurement, and people practices.

We have reduced material consumption, minimised waste, and rolled out initiatives such as the Cisco Refurbish Project, while strengthening risk assessments and introducing biannual supplier sustainability evaluations. These efforts give our customers confidence that they are working with a company aligned with their values and ethical business standards. This milestone is a testament to our collective commitment to driving meaningful and lasting impact, and we look forward to building on this momentum in the year ahead.”

Looking ahead, Expereo plans to expand the use of refurbished equipment, further align cloud hosting and supplier selection with lower-carbon criteria, and deepen transparency across its value chain.

This builds on its FY25 sustainability strategy anchored around three core pillars:

Environment: building a rigorous CO₂ inventory and embedding circular economy practices across its operations,

People: investing in employee health, wellbeing and a more inclusive workplace culture across its global teams,

Green procurement policy: implementing strong sustainability criteria for Data Centre partnership focused on clean energy, prioritizing the procurement of recycled customer equipment and extending CPE lifecycle in a safe manner.

These initiatives are designed to support customer and partner expectations for more resilient, transparent and sustainable digital infrastructure. By combining supplier governance, circular economy practices and improved carbon accounting, Expereo is building a more data-driven foundation for future ESG performance and reporting.

Hashtag: #Expereo #EcoVadis

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

About Expereo

Expereo is a world-leading Managed Network as a Service provider that connects people, places, and things anywhere. Solutions include Global Internet, SD-WAN/SASE, and Enhanced Internet. With an extensive global reach, Expereo is the trusted partner of 60% of Fortune 500 companies. It powers enterprise and government sites in more than 190 countries, with the ability to connect to any location worldwide, working with over 2,300 partners to help customers improve productivity and empowering their networks and cloud services with the agility, flexibility, and value of the Internet, with optimal network performance.

Expereo was acquired in Feb 2021, by Vitruvian Partners which acquired a majority shareholding from Seven2.

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TP deepens AI data services capabilities across APAC markets – showcased live at Asia Tech x Singapore 2026

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SINGAPORE – Media OutReach Newswire – 21 May 2026 – As part of its Future Forward strategy, global digital business services leader TP (ex-Teleperformance) is deepening its award-winning TP.ai Data Services capabilities across Asian markets. This is in response to rising enterprise demand for AI systems trained in local languages and compliant with evolving in-country data residency and governance requirements.

As enterprises accelerate AI deployment across Asia, success will increasingly depend on the quality, localization and governance of the underlying data powering these systems. At Asia Tech x Singapore 2026 this week, TP is present on the ground and is delivering two sessions to cover the insights of TP’s Future Forward strategy of scaling AI-led services.

Assaf Tarnopolsky, TP’s Chief Business Development & Customer Officer, APAC is joining the panel “The Enterprise AI Execution Challenge” to discuss the advantages of Asia-based enterprises in investing in robust data preparation before constructing AI tools. Michael Costevec, Head of Value Creation Office, TP APAC and Jonathan Phang, CTO, TP APAC are also delivering a keynote on “AI Orchestration in the World’s Most Complex Markets”, which covers the principles behind the shift from AI operations to AI orchestration.

TP.ai Data Services, an end-to-end AI data services solution, enables enterprises to build, train and scale AI systems that are locally relevant, operationally resilient and deployment-ready across Asia’s diverse markets. With specialized AI practitioners distributed across Singapore, Malaysia, Indonesia, Thailand, China, Japan, South Korea and Vietnam, TP delivers end-to-end AI/ML and GenAI support services, including data collection, validation, annotation, labeling, model evaluation, analytics operations and human-in-the-loop governance.

“The companies seeing real operational impact from AI in Asia are the ones investing in scalable data foundations, in-country execution and human expertise alongside the technology itself,” said Dave Rizzo, APAC President, TP. TP.ai Data Services has a proven track record in supporting customer live deployment. Within three weeks, it successfully created customized warehouse video streams, annotated with detailed object labels and dimensional data, enabling physical AI model training to support a client with real-time worker-safety-risk detection.

TP has been recognized globally for helping organizations move beyond fragmented data operations and reporting toward an analytics-led operating model that improves performance, governance, and AI outcomes. The 2026 Data Breakthrough Awards named TP’s data analytics services Overall Data Analytics Platform of the Year, citing measurable business results, including:

  • Up to 31% improvement in customer experience quality scores
  • Up to 30% lift in sales conversions
  • Up to 20% improvement in resource forecasting accuracy
  • Up to 15% gains in workforce efficiency

Beyond technology delivery, TP also places strong emphasis on preparing its own workforce for an AI-led operating environment. Across APAC, TP continues to invest in AI upskilling programs that equip employees with capabilities in model evaluation, synthetic data, human-in-the-loop and human-on-the-loop orchestration and AI governance. By combining advanced AI systems with locally trained human expertise, TP enables enterprises to scale AI responsibly across diverse Asian markets, ensuring that innovation remains grounded in cultural understanding, operational oversight and real-world business outcomes.

Hashtag: #TP

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

ABOUT TP IN SINGAPORE

TP in Singapore is part of the , a global leader in digital business services which consistently seeks to blend the best of advanced technology with human empathy to deliver enhanced customer care that is simpler, faster, and safer for the world’s biggest brands and their customers. The Group’s comprehensive, AI-powered service portfolio ranges from front office customer care to back-office functions, including high-value digital transformation services, collections and operations consulting. It also offers a range of specialized services such as interpreting and localization, visa and consular services, and recruitment process outsourcing services. The teams of multilingual, inspired, and passionate experts and advisors, spread across close to 100 countries, as well as the Group’s local presence allows it to be a force of good in supporting communities, clients, and the environment.

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State Street Expands Global Operating Model with New Manila Office

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MANILA, PHILLIPINES – .

*Assets under management as of March 31, 2026 includes approximately US$184 billion of assets with respect to SPDR® products for which State Street Global Advisors Funds Distributors, LLC (SSGA FD) acts solely as the marketing agent. SSGA FD and State Street Investment Management are affiliated.

© 2026 State Street Corporation
8937957.1.1.GBL.RTL
Exp. May 31, 2027

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