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Commerce and Industry Minister Piyush Goyal is scheduled to visit Canada from May 25 to 27, accompanied by around 150 business leaders for meetings in Ottawa and Toronto. The delegation is expected to include senior representatives from mining, energy, automotive, aerospace, manufacturing, pharmaceuticals, education and technology, with talks centred on investment, market access and the proposed Comprehensive Economic Partnership Agreement.

The visit comes as negotiators from both countries hold another round of discussions in Ottawa from May 25 to 29. Officials are working towards an early conclusion of the trade pact after formally relaunching negotiations this year. The agreement is intended to widen market access, reduce barriers and deepen supply-chain cooperation across sectors where both economies see strategic value.

Bilateral trade stood at nearly $9bn in 2024-25, modest in relation to the size of the two economies. Both governments have set a target of raising trade to $50bn by 2030, a goal that would require faster progress in goods, services, investment and energy cooperation. Canada is seeking stronger commercial links beyond its heavy dependence on the United States, while New Delhi is trying to secure reliable supplies of critical minerals, uranium, clean-energy technology and advanced manufacturing inputs.

Energy and minerals are expected to figure prominently in the discussions. Canada holds significant reserves of uranium, potash, lithium, nickel, cobalt and rare earth elements, all of which are relevant to New Delhi’s nuclear power, fertiliser security, electric mobility and electronics manufacturing plans. Earlier this year, the two sides announced a C$2.6bn uranium supply arrangement involving Cameco, giving fresh weight to talks on long-term clean-energy cooperation.

Market access will be another sensitive area. New Delhi wants wider entry for textiles, leather goods, processed foods, pharmaceuticals and services, while Canada is expected to push for opportunities in agriculture, energy, education, financial services and high-technology sectors. Businesses on both sides have argued that tariffs, standards, certification rules and mobility restrictions have limited the relationship despite strong people-to-people ties and a large diaspora in Canada.

The delegation also carries political significance. Relations deteriorated sharply in 2023 after Ottawa alleged involvement by New Delhi in the killing of Sikh separatist leader Hardeep Singh Nijjar in British Columbia. New Delhi rejected the allegation, and both sides expelled diplomats as the dispute spread into security, visa and intelligence cooperation. The strain interrupted trade talks and pushed commercial engagement into a lower gear.

A gradual reset began after political engagement resumed at senior levels. Canada’s Prime Minister Mark Carney invited Prime Minister Narendra Modi to the G7 summit in Alberta in June 2025, and the two governments subsequently restored channels for trade and strategic dialogue. Carney’s visit to India in March 2026 gave the relationship a clearer economic framework, including the signing of terms of reference for the trade pact and a commitment to expand cooperation in energy, technology, agriculture, education and defence-related sectors.

The May visit is designed to move that process from political signalling to business execution. Meetings with Canadian ministers, industry bodies and corporate leaders are expected to test where near-term agreements are possible, especially in sectors less vulnerable to political friction. Ottawa and New Delhi are also exploring cooperation in shipbuilding, pharmaceuticals, tourism and education, areas identified during earlier ministerial exchanges.

Canada’s interest is shaped by a broader effort to diversify export markets and reduce exposure to shifts in US trade policy. New Delhi, meanwhile, is looking for partners that can support its manufacturing expansion, clean-energy transition and mineral security. The fit is commercially evident, but negotiations are likely to remain complex because both sides have defensive interests in agriculture, labour mobility, procurement and regulatory standards.

For businesses, the scale of the delegation suggests a wider appetite to resume investment conversations that had slowed during the diplomatic dispute. More than 600 Canadian companies have a business presence in India, while firms from India have built interests in information technology, steel, automotive components, hospitality and financial services in Canada. Student mobility and professional services also remain important links, although visa and security concerns have added caution to the relationship.

Recent Google search trends in Thailand show continued growth in interest for both asset classes. Gold trading-related searches such as “XAUUSD today” have consistently generated between 1,000 and 10,000 monthly searches over the past year, while cryptocurrency-related keywords including “crypto” have maintained similarly strong search volumes.

The trend is also reflected in internal traffic data from BrokersThai.com. Pages related to Forex brokers for gold trading generated more than 5,000 impressions over the last year, highlighting continued interest from Thai traders seeking reliable broker comparisons and trading cost information.

The data also reveals that cryptocurrencies like Bitcoin are no longer seen as just tools for quick gambling. Instead, users search for risk management, such as how to handle price drops and volatility, spike every time the stock market experiences volatility. This proves that traders are carefully weighing crypto risks against the steady safety of gold.

Justin Grossbard, CEO of BrokersThai.com, commented: “Thai traders are now interested in trading multiple assets, especially gold and Bitcoin, while paying more attention to trading costs and broker transparency. Many traders are carefully comparing spreads and execution speeds to reduce unnecessary trading costs as much as possible.”

The findings indicate that Thai retail traders are adapting to uncertain market conditions by conducting deeper research before making investment decisions. Rather than choosing between gold or Bitcoin, many traders are now using both together — relying on gold to help preserve capital while viewing Bitcoin as a long-term growth opportunity.

For broker comparisons, visit: https://www.brokersthai.com
Hashtag: #BrokersThai

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

The 2026 Sunday Roast Guest Chef Series runs across selected Sundays from February to October, with further dates expected for November and December. Priced at HK$898 per guest, plus a 10 per cent service charge, the programme gives each participating restaurant one Sunday to reinterpret the classic British roast through its own cuisine, while retaining the familiar three-course structure of starter, roast or seafood main, and dessert.

The format reflects a wider shift in Hong Kong’s premium dining scene, where luxury hotels are moving beyond standard brunch buffets and using chef-led collaborations to attract diners who want novelty, scarcity and recognised culinary talent. For Lobster Bar & Grill, long associated with seafood, grills, cocktails and live jazz, the series also positions brunch as a curated dining event rather than a routine weekend offering.

The 2026 line-up began with NOI on 8 February, bringing contemporary Italian cooking shaped by Chef Paulo Airaudo’s wider culinary approach and Hong Kong-based Chef Luigi Troiano’s execution. It continued on 15 March with 22 Ships, known for modern Spanish flavours under Chef Antonio Oviedo, and on 12 April with Yong Fu Hong Kong, whose Ningbo seafood cooking added a refined Chinese coastal identity to the Sunday roast template.

The next phase brings Neighborhood on 31 May, Leela on 28 June and Cristal Room by Anne-Sophie Pic on 19 July. Neighborhood, led by Chef David Lai, enters the series with strong recognition from both Michelin and Asia’s 50 Best Restaurants, where it ranked No. 24 in the 2026 list. Its reputation rests on market-led European bistro cooking, generous sharing dishes and a style that combines technical control with an understated dining room culture.

Leela, led by Chef Manav Tuli, adds a modern interpretation of regional cooking from India, using refined technique, spice layering and tandoor-led elements. Its participation broadens the series beyond European and Chinese traditions, giving the roast format a more expansive culinary identity at a time when Hong Kong diners are showing stronger interest in regional specificity and chef-driven storytelling.

Cristal Room by Anne-Sophie Pic brings the strongest fine-dining profile in the May-to-July phase. The Landmark restaurant, guided in Hong Kong by Chef Marc Mantovani, earned two Michelin stars in the 2026 Hong Kong and Macau guide. Its contribution is expected to bring a more composed French approach to the format, with emphasis on precision, balance and luxury ingredients.

Lobster Bar & Grill’s regular Sunday roast brunch already leans towards abundance, with appetisers such as lobster bisque, smoked salmon and steak tartare, followed by individually plated roast or seafood choices. Signature sides include duck-fat roasted potatoes and honey-glazed carrots, while desserts include banoffee pie, triple chocolate mud pie and seasonal creations. The guest-chef model keeps those anchors intact while allowing each collaborator to alter the flavour profile.

Executive Sous Chef Cary Docherty remains central to the concept. His role is not merely to host outside chefs, but to co-create menus that fit the kitchen’s seafood-and-grill identity while allowing each restaurant’s style to remain visible. That balance is crucial: too much hotel polish could dilute the individuality of the guest chefs, while too much experimentation could alienate diners expecting the comfort of Sunday roast.

The commercial logic is clear. Hong Kong’s dining market remains crowded, and premium hotel restaurants face intense competition from independent restaurants, private clubs and destination bars. A one-day-only brunch creates urgency, encourages repeat visits and lets diners access high-profile kitchens in a less formal setting than full tasting menus. For visiting chefs and independent restaurants, the collaboration offers exposure to a hotel audience with strong spending power.

Located on Level 6 of Pacific Place on Supreme Court Road in Central, Lobster Bar & Grill benefits from a business-district address and the broader Island Shangri-La dining ecosystem. Its Sunday and public holiday brunch service runs from 11.45am to 3.30pm, with last orders at 2.30pm, giving the collaboration format a defined weekend window rather than an open-ended promotional run.

Recognition reflects TDCX’s evolution into a global firm helping clients navigate digital and AI transformation with a combination of human expertise, intelligent technology, and operational precision

Hashtag: #TDCX #OA500 #CX #Outsourcing #EnableTheFuture

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

About TDCX

For more information, please visit www.tdcx.com.

Revenue Up 35.4% Year-on-Year API Token Call Volume Surges Nearly 6 Times

HONG KONG SAR – Media OutReach Newswire – 22 May 2026 – Phancy Group Co., Ltd. (“Phancy” or “The Company”, stock code: 6682.HK), a leading general artificial intelligence company, today announced its unaudited consolidated results for the first quarter ended 31 March 2026.

During the period, Phancy achieved revenue of approximately RMB1.458 billion, representing a 35.4% year-on-year increase. Gross profit margin remained at 35.1%. Phancy leveraged its deep expertise in full-stack AI cloud services, to capitalize on the accelerating adoption of localized computing power and strong enterprise demand for AI solutions. The Company achieved robust growth in its core businesses, accelerated product innovation, and secured several major partnerships, sustaining strong operational momentum.

2026 First Quarter Business Highlights:

Unified Enterprise AI Platform Drives Explosive Core Business Growth

Global computing resources remain constrained, while demand for both private enterprise AI deployments and API-based model calls continues to grow rapidly. Phancy’s enterprise-grade AI platform is built on a unified core architecture that seamlessly supports both API calling scenarios and dedicated private deployments. This significantly boosts AI application efficiency and resource utilization. Supported by a mature computing power supply chain developed over many years, Phancy’s deployable computing power resources have increased by over 200%. This enables the Company to effectively meet surging Token demand and consistently deliver stable, high-quality AI services to its customers.

In the first quarter of 2026, API Token call volume surged nearly 6 times compared to the same period in 2025, and already accounted for nearly 40% of the full-year 2025 total. Meanwhile, the Agentic AI business expanded rapidly, with deepening commercial adoption. Orders on hand grew nearly 100% compared to the end of 2025, emerging as a major growth driver for the Company.

AI Technology Iteration Accelerates, Commercialization Beats Expectations

Building on its continued push into digital employee applications and AI empowerment across business units, Phancy has significantly shortened the product development cycle from R&D to commercialization, enhancing overall operational efficiency and customer satisfaction.

As of mid-May 2026, ModelHub XC has completed adaptation and optimization for over 70,000 AI models on domestic chips, achieving more than 70% of its full-year target – well ahead of schedule.

In May, Phancy launched PhanthyMovie, a professional-grade AI video generation platform designed to enhance creativity, control, and stability in video production, enabling standardized and large-scale content creation for the industry.

Leveraging its advanced technology and proven execution capabilities, PhanthyMovie achieved rapid commercial traction. Just days after launch, the Company entered into a strategic cooperation agreement with Huanxi Media, covering approximately US$200 million in AI Token usage. The two parties will also collaborate on the development of a next-generation AI-powered film and television content production platform, further strengthening Phancy’s position in the AI-driven cultural and creative sector.

Core Products Align Closely with Policy Trends, Strengthening Compute-Model Integration

Since May 2026, China’s AI sector has seen a series of positive policy developments focused on computing infrastructure, data element circulation, and open-source compliance governance. Phancy’s core products, including HAMi vGPU and ModelHub XC, are well-aligned with national policy directions and mainstream industry trends.

In terms of computing resource allocation, policies emphasize cross-regional collaboration and broader access to computing power. Phancy’s HAMi vGPU offers unified scheduling and fine-grained resource partitioning, effectively improving utilization rates, optimizing data center energy efficiency, and supporting unified management across multiple chips to boost single-card efficiency.

In data and model governance, the government continues to promote high-quality dataset development and compliance management. ModelHub XC supports multi-model adaptation and optimization, incorporates data traceability and security certification features to help enterprises reduce compliance risks, and uses the EngineX engine for batch adaptation of domestic chips and models. This significantly improves compatibility while enhancing Token output efficiency through targeted model tuning.

Through deep integration of its computing and model layers, Phancy has built a comprehensive “Compute–Model” integrated solution. This addresses key industry needs such as efficient computing utilization, secure data supply, enterprise compliance, and domestic substitution, while strengthening its technological moat. The Company is well positioned to capture policy dividends and industry opportunities, supporting enterprises in their digital and intelligent transformation.

Hashtag: #PhancyGroup

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 SageAIOS, 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.

A 2026 software supply chain security assessment shows that about 65 per cent of organisations in India cannot detect malicious packages, while 71 per cent do not use container security tools. The findings underline a widening gap between the speed of AI-led software development and the controls needed to secure code, dependencies, models and deployment pipelines before they reach production systems.

Security teams are facing a more complex threat environment as AI coding assistants, model registries, agent frameworks and machine-learning libraries become embedded in day-to-day software engineering. AI is no longer confined to application features or analytics layers. It is becoming part of the software supply chain itself, influencing how code is written, tested, packaged and deployed.

Enterprises in India have been quick to adopt AI tools to improve developer productivity, reduce repetitive work and accelerate product releases. Yet the same shift has increased reliance on open-source packages, pre-trained models, plug-ins and automated build systems. Each of these components can introduce hidden risks if provenance, integrity and behaviour are not continuously verified.

Global software repositories are now attracting sustained attacks because they provide a direct route into enterprise development environments. Malicious npm packages rose by 451 per cent during 2025, while more than 48,000 new Common Vulnerabilities and Exposures were disclosed worldwide, a rise of about 20 per cent from the previous year.

The pressure on security teams is being amplified by the volume of AI-generated code. Developers in India are spending about 51 per cent of their time reviewing, validating and hardening code produced by AI tools. About 53 per cent treat such output only as a starting point and review every line before use, while 11 per cent rewrite AI-generated fixes from scratch.

This shift has altered the economics of software engineering. AI may reduce the time needed to draft code, but it can also transfer effort to verification, testing and security review. Weaknesses such as cross-site scripting, SQL injection and missing authorisation checks can still be reproduced by automated tools, particularly when developers rely on generated code without adequate scrutiny.

Governance is emerging as another area of concern. Nearly 97 per cent of organisations surveyed said they had certified AI model governance programmes, but only 59 per cent claimed full provenance visibility across production environments. About 48 per cent still needed a week or longer to produce audit-ready compliance evidence.

That gap points to a difference between policy and enforceable control. Many enterprises have AI governance frameworks on paper, but fewer can prove where every model, library, container image and software artefact came from, how it changed, who approved it and whether it complies with internal policy.

CERT-In has also warned that software supply chain compromises are increasingly targeting developer tools and trusted repositories. Its April 2026 activity note referred to attacks affecting npm, PyPI, GitHub Actions and container registries, including incidents involving Checkmarx, Trivy, LiteLLM, Axios, Telnyx and npm packages linked to the CanisterWorm campaign. The payloads observed in these attacks included credential harvesting, data exfiltration, remote execution and persistence within developer systems.

Model registries have added another layer to the risk. Around 1.4 million new AI artefacts were published on Hugging Face during 2025, representing 58 per cent of all new software packages tracked in one assessment. Researchers identified 495 malicious AI models in public repositories with active payloads capable of credential theft, command execution and reverse-shell activity, along with 969 malicious AI-agent skills designed to exploit developer environments and automation workflows.

For enterprises in India, the challenge is sharpened by the country’s role as a major software engineering and global capability centre hub. Bengaluru, Hyderabad, Pune, Chennai and Gurugram host large engineering teams serving banking, retail, telecoms, manufacturing and cloud services. These centres are increasingly responsible not only for maintenance work but also for product development, AI integration and security-sensitive digital platforms.

Regulatory and customer expectations are also tightening. Buyers are asking for software bills of materials, vulnerability disclosure processes, provenance records and proof that build pipelines are protected. CERT-In’s technical guidance on SBOM, QBOM, CBOM, AIBOM and HBOM has emphasised regular updates, vulnerability exploitability exchange documents and staff training around software supply chain visibility.

Security leaders are therefore moving towards stronger controls across development pipelines. These include automated malicious package detection, container image scanning, secrets detection, signed artefacts, dependency pinning, model provenance checks, policy enforcement in CI/CD systems and continuous monitoring of developer environments.

The investment case is becoming harder to ignore. Software supply chain attacks can bypass perimeter defences because they enter through trusted development channels. Once inside, malicious packages can steal credentials, alter builds, move into cloud environments or compromise downstream customers. AI raises the stakes because it can accelerate both legitimate development and attacker experimentation.