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J-HRTI, short for Japan Humanoid Robot Training & Implementation, opened its Kanto Data Factory in Narashino on August 26 with 35 humanoid robots across about 1,400 square metres. The centre can expand to 40 machines and is designed to generate, label and test the physical data needed to train robots for practical industrial work.

The consortium says the facility is Japan’s first physical-AI and robot data factory operated by a group composed solely of private companies. Its model is intended to reduce the cost and duplication involved when manufacturers try to build large robot-training systems independently, while allowing participating businesses to share common training data and testing infrastructure.

Operators telecontrol the humanoids to create imitation-learning data from tasks such as gripping, moving and handling objects. Cameras mounted on the robots record movements while motor parameters are also collected. Specialist staff then annotate the footage and motion information so AI systems can distinguish actions, errors and acceptable performance before the robots are tested in environments designed to resemble participating companies’ workplaces.

J-HRTI says members divide the cost of equipment and data generation while contributing real-world tasks from their own operations. Common datasets can be reused across companies, reducing the thousands or tens of thousands of training repetitions that an individual business might otherwise need to undertake from scratch. Sensitive company-specific work can be handled separately in a secure area, where information is not shared with other members.

That approach could widen access to humanoid development beyond the largest manufacturers, although J-HRTI has not published membership fees or a standard deployment price for factories. Claims that the system makes humanoids broadly affordable for mid-sized manufacturers therefore remain difficult to quantify. What is established is that participating companies can spread investment and technical risk rather than financing a dedicated data facility alone.

The operating group includes machinery trader Yamazen, pharmaceutical manufacturer Tsumura, direct-mail and logistics company DMS and Fuyo General Lease, alongside another participant that was not publicly identified in the August 26 announcement. INSOL-HIGH serves as the consortium secretariat and operates the data platform and overall system design.

J-HRTI’s programme is aimed initially at straightforward industrial duties. The group plans to place humanoids into workplaces for tasks such as material transport during the 2026 financial year, which ends in March 2027. It then intends to broaden the range of tasks and improve autonomy as more operational data becomes available.

The consortium is also developing a physical-AI foundation model using data collected at the Chiba site. Several thousand datasets had already been accumulated and annotated by the time full operations began, according to INSOL-HIGH officials. Participating companies are expected to use the model and return additional operating data and feedback, creating a cycle in which the shared training resource is continually updated.

Plans call for the data-factory network to expand to 10 locations nationwide during the 2027 financial year. The Chiba facility is intended to serve as the first “mother” site, with future centres positioned closer to industries that can supply specialised tasks and operational conditions. J-HRTI has said those regional facilities could also support maintenance after robots are deployed.

By the 2028 financial year, the group aims to provide foundation models specialised for sectors including manufacturing and logistics. The timetable remains a target rather than a guaranteed commercial rollout, and performance will depend on whether robots trained in controlled environments can operate safely and reliably in varied workplaces.

The agreement emerged from the inaugural meeting of the India-Kuwait Joint Defence Committee in New Delhi on August 28, marking the first formal session of the mechanism created to institutionalise expanding security and military ties.

The talks were co-chaired by Joint Secretary Amitabh Prasad and Brigadier General Raed Alsakran, who headed a five-member delegation from Kuwait. India’s delegation brought together representatives of the Army, Navy and Air Force along with officials from the Department of Defence Production, Defence Research and Development Organisation, Armed Forces Medical Services and Ministry of External Affairs.

Both sides identified training and military exercises as priority areas, opening the possibility of greater exchanges between personnel and institutions. Military medicine and structured staff talks were also placed on the cooperation agenda, potentially creating regular channels through which officers can exchange operational experience and develop closer institutional links.

Defence manufacturing formed another important component of the discussions. The Kuwaiti delegation visited DPSU Bhawan in New Delhi and held talks with representatives of India’s defence industry on potential areas of cooperation. A separate interaction with industry representatives was also included in the delegation’s programme, indicating that commercial and technological partnerships are becoming a stronger part of the bilateral defence relationship.

The engagement gives practical momentum to the memorandum of understanding on defence cooperation signed during Prime Minister Narendra Modi’s visit to Kuwait on December 21-22, 2024. The agreement was designed to institutionalise cooperation in training, exchanges of personnel and experts, joint exercises, defence manufacturing, supply of military equipment and research and development.

That visit also saw India and Kuwait elevate their relationship to a strategic partnership, broadening a relationship traditionally centred on energy, trade and the movement of people. Defence and security have since gained greater prominence as both governments seek more structured engagement amid shifting geopolitical and security conditions across the Gulf and wider West Asian region.

The Joint Defence Committee provides a mechanism through which the provisions of the 2024 agreement can be translated into programmes, exchanges and projects. Its composition also reflects the wide scope envisaged for cooperation, extending beyond conventional military contacts into medical services, technology development and defence manufacturing.

Kuwait has traditionally relied heavily on international suppliers for defence equipment, while India has been expanding its efforts to become a larger producer and exporter of military systems. New Delhi has been encouraging overseas partnerships for domestically manufactured weapons, platforms, electronics and support systems as defence production capacity expands.

Research and development cooperation could therefore become a significant part of the relationship. Participation by the Defence Research and Development Organisation at the committee meeting creates an institutional route for exploring technology-based projects alongside conventional equipment sales and training arrangements.

The talks also come as Kuwait broadens defence engagement with partners across Asia while navigating a complex regional security environment. Its location at the northern end of the Gulf, close to Iraq, Saudi Arabia and Iran, has made military preparedness and diversified security partnerships enduring priorities for the country.

For India, deeper defence engagement with Kuwait complements its expanding strategic relationships with Gulf Cooperation Council states. New Delhi has progressively widened military exercises, naval engagements, training programmes and defence-industry cooperation with countries across the Gulf as economic and energy relationships have developed into broader strategic ties.

Brigadier General Alsakran also laid a wreath at the National War Memorial in New Delhi ahead of the committee meeting, paying homage to fallen military personnel. The gesture formed part of a programme combining official consultations, ceremonial engagements and meetings with defence-sector representatives.

The Kospi closed 1.79% lower at 6,788.88, shedding 123.49 points and snapping a three-session advance. Samsung Electronics dropped 3.38% to 257,000 won, while SK hynix fell 4.45% to 1.653 million won as investors locked in gains following an earlier technology rally fuelled by strong results from Nvidia. Foreign and institutional investors sold a combined 2 trillion won of Seoul-listed shares, while retail investors were net buyers.

The retreat highlighted growing caution over valuations in artificial intelligence-linked stocks. Nvidia had jumped nearly 9% in the previous Wall Street session after delivering strong quarterly results and indicating that spending on artificial intelligence infrastructure remained robust. The performance initially lifted technology stocks across the region, but enthusiasm faded in Seoul as attention shifted towards interest rates and the outlook for global bond yields.

Warsh’s first keynote address as Federal Reserve chair at the annual Jackson Hole symposium became the central focus for markets. Investors were looking for guidance on how the central bank would respond to persistent inflation pressures and whether policymakers were moving closer to raising borrowing costs. Interest-rate futures before the speech indicated roughly a one-third probability of an increase at the September meeting, with markets pricing in a move by December.

Bond markets have become particularly sensitive to Federal Reserve communication after longer-term Treasury yields climbed amid concerns that inflation could remain above target. The 30-year US Treasury yield was around 5.2% on Friday after briefly exceeding 5.3%, its highest level since 2007. The 10-year yield stood near 4.67%, while the two-year yield was about 4.23% before Warsh addressed the gathering.

Elsewhere in Asia, market performances were mixed. Japan’s Nikkei advanced around 0.5%, supported by technology shares and inflation data that reinforced expectations of further monetary tightening by the Bank of Japan. Tokyo consumer inflation for August remained close to the central bank’s 2% objective, keeping expectations of another interest-rate increase alive.

Taiwanese shares gained about 1.2%, benefiting more directly from Nvidia’s strong performance because of the island’s extensive semiconductor supply chain. Hong Kong shares moved slightly lower during part of the session, while mainland Chinese equities traded in a narrow range. The CSI 300 slipped about 0.1% at one stage and the Shanghai Composite edged higher, with investors also preparing for purchasing managers’ index data due next week.

Australia’s ASX 200 gained around 0.5%, while Singapore’s Straits Times Index advanced modestly. The Nifty 50 also moved higher as technology shares supported a rebound after two sessions of losses. Regional investors nevertheless avoided large positions as the direction of US monetary policy remained the dominant influence on risk appetite.

Currency markets were similarly restrained. The dollar index hovered around 99.1 and was on course for a weekly gain. The Australian dollar performed strongly after hotter inflation data led traders to reassess the interest-rate outlook, touching a three-month high near $0.72 and extending what was set to become a ninth consecutive weekly advance.

Oil prices provided some relief for equities after falling sharply during the week. Brent crude traded around $89.6-$89.7 a barrel and was heading for a weekly decline of more than 5%, partly reflecting developments involving Iran and Oman over administration of traffic through the Strait of Hormuz. Lower energy prices eased one source of inflation concern, although geopolitical risks remained embedded in commodity markets.

Gold slipped towards $4,590 an ounce as traders awaited clearer signals on US rates. The broader MSCI Asia-Pacific index outside Japan was little changed, showing how the powerful Nvidia-led technology trade was being offset by uncertainty over monetary policy, elevated chip valuations and higher bond yields.

“The less developed a region is, the more it needs to pursue an innovation-driven development strategy.” This message, voiced at the conference, reflects the clear-eyed resolve of a provincial capital city.

That resolve is underpinned by real strengths.

Here, the National Dairy Technology Innovation Centre has shortened dairy-cattle breeding evaluation from four years to just 45 days and cultivated China’s first probiotic strain for infants and young children derived from Chinese breast milk, helping the “Dairy Capital of China” advance towards becoming a global dairy hub. A major scientific facility for aerospace, sky-to-ground, cross-scale metrology, benchmarked against international leaders, is rising in Horinger New District. Inner Mongolia University of Technology has launched the region’s first new-energy industrial large model open to the world. Meanwhile, a domestic enterprise—the only one currently able to produce 4N5 high-purity germanium products consistently—is helping quantum technology and calcium-titanium mineral photovoltaics overcome key raw-material bottlenecks. From a single microbial strain to a beam of light, technological and industrial innovation are converging here and reinforcing one another.

Even more compelling is the city’s tangible commitment.

Municipal fiscal investment in science and technology will double in 2026 and double again in 2027. Newly recognised national-level innovation platforms will receive a one-off research grant of RMB 3 million, while each “Qingcheng Science and Technology Innovation Leading Talent” may receive up to RMB 500,000 in research support. By 2030, Hohhot aims to introduce an additional 10 academicians of the Chinese Academy of Sciences and the Chinese Academy of Engineering, as well as 50 high-level innovation teams. Through a policy approach of “enjoy benefits without application and receive them directly and swiftly”, the city will provide inclusive computing-power vouchers, model vouchers and token vouchers to technology-oriented small and medium-sized enterprises—lowering barriers to innovation and demonstrating the city’s sincerity in supporting innovators.

Openness is a defining feature of Hohhot.

Drawing on the Hohhot Area of the China (Inner Mongolia) Pilot Free Trade Zone, the city is building an international science and technology cooperation base with countries along the Belt and Road. It is also deepening coordination with Beijing’s Haidian District through a “two-hour innovation circle”, exploring a new pathway in which research and development take place elsewhere while results are transformed and applied in Hohhot. Hohhot understands that innovation cannot thrive as an undertaking enclosed behind walls.

Like the Mongolian horse, it is resilient, diligent and determined—never resting until the goal is achieved. This is the character of the city: the breadth and inclusiveness of the grasslands, combined with the courage and pioneering spirit to open northwards, explore new frontiers and put ideas into action.

From the “Dairy Capital of China” to China’s “Cloud Valley”, from the pastures of Chilechuan to the computing-power clusters of Horinger, this green city is becoming a city of innovation.

Hohhot extends an invitation to the world: here there are supportive policies, real-world application scenarios and a genuine commitment to partnership—together with a vast landscape in which to join hands with those who strive and build for the future.

Hashtag: #Hohhot

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

Quarterly Profitability: A Rare Milestone in Hong Kong’s AI Sector

In capital markets, ambitious visions must ultimately be backed by real financial performance—and Deepexi’s interim results provide clear proof of execution.

For the first half of 2026, the company generated RMB 284.0 million in total revenue, marking a 115.0% year-over-year increase. Its AI business served as the primary growth engine, contributing RMB 226.0 million—an impressive 209.2% year-over-year surge—bringing AI revenue to 79.6% of total corporate turnover.

Even more noteworthy is the marked improvement in profitability. First-half gross profit reached RMB 160.0 million, up 120.5% year-over-year, with gross profit margin expanding to 56.5%. Crucially, during the second quarter of 2026, Deepexi posted a standalone quarterly net profit of approximately RMB 30.1 million, officially crossing the breakeven threshold.

In Hong Kong’s technology sector, pure-play enterprise AI companies capable of achieving quarterly net profitability while sustaining high R&D investment remain exceptionally rare. This milestone underscores Deepexi’s operational efficiency, scalable software delivery, and self-sustaining monetization engine.

This scarcity value is equally evident in the company’s revenue composition and vertical reach. Industrial manufacturing accounted for more than 50% of total revenue, while retail and consumer goods contributed 30%, alongside expanding footholds in healthcare and smart transportation. In manufacturing, for example, equipment troubleshooting and predictive maintenance involve dense engineering schematics, real-time IoT sensor telemetry, and extensive historical maintenance logs—all of which Deepexi translates into structured logic that AI models can readily interpret. This deep vertical expertise and proprietary data accumulation create a formidable competitive barrier that general-purpose AI vendors cannot easily match.

Beyond the “SaaSpocalypse”: Deepexi’s AI-Native Platform Defies the Software Valuation Reset

The first quarter of 2026 witnessed what market observers have dubbed the “SaaSpocalypse”—a tectonic shift in which approximately $2 trillion in market capitalization was erased from B2B software equities, driven by a fundamental fear that agentic AI would cannibalize the traditional per-seat licensing model. The iShares Expanded Tech-Software ETF (IGV) plunged nearly 21% year-to-date, and enterprise software multiples (EV/Sales) cratered from a 5.6x average at the end of 2025 to 4.2x by mid-March.

Investors have pivoted decisively toward AI-native infrastructure—companies that manage the data and underlying plumbing of autonomous systems—while penalizing traditional application-layer SaaS vendors reliant on human-centric interfaces. As a recent Windsor Drake analysis notes, “AI-native agentic platforms clear 14x to 22x revenue, with private rounds at 20x to 30x,” while legacy standalone RPA trades at just 2.5x to 5x. The market is now rewarding AI-native architecture and measurable workflow ownership.

Deepexi sits squarely on the winning side of this divergence. Unlike traditional SaaS vendors whose revenues are tied to human seat counts—and thus vulnerable to agentic displacement—Deepexi’s token-based, consumption-driven model aligns directly with the agentic AI future. The company’s DeepWorks enterprise Agent platform does not sell per-seat licenses; it sells AI productivity, enabling enterprises to deploy autonomous agents that replace repetitive administrative work, not software seats. As the market shifts from “AI as a feature” to “AI as a replacement,” Deepexi’s business model is structurally insulated from the seat-compression forces that have punished legacy software vendors.

Focus on Enterprise AI Applications and Proprietary Domain Data

To ensure AI truly meets real-world enterprise demands, generic foundational models are insufficient on their own. Deepexi’s core competitive edge lies in its specialized “Data + AI” dual-engine architecture, anchored by the FastData enterprise data intelligence platform, the FastAGI agentic AI suite, and the Deepexi Enterprise Large Model Platform, supported by its proprietary Deepology ontology dataset containing over 2,000 vertical industry skills.

At the foundational layer, the FastData platform—powered by the FastData Foil fusion engine—acts as an intelligent lakehouse that tokenizes structured, semi-structured, and complex unstructured enterprise data into standardized formats ready for large model training and inference. Building upon this data foundation, the FastAGI platform and DeepWorks Enterprise Agent Platform provide organizations with a flexible, modular AI operating system.

Featuring a pluggable architecture, the platform connects seamlessly to leading open-source foundation models such as DeepSeek and Zhipu AI, giving enterprise clients complete autonomy while eliminating vendor lock-in. This “model-agnostic” approach is a key differentiator in an environment where enterprises increasingly demand flexibility to choose the best model for each use case, rather than being locked into a single provider.

Through native Model Context Protocol (MCP) frameworks and specialized agents—ranging from operational decision-making agents to productivity and autonomous workflow execution agents—Deepexi embeds intelligence directly into core business operations. DeepWorks is fully integrated with mainstream workplace collaboration suites such as DingTalk, Feishu, and Tencent Meeting, allowing employees to summon AI copilots directly for automated weekly reporting, data synthesis, and cross-departmental coordination—effectively turning AI into an indispensable daily productivity tool.

In an enterprise AI market where 42% of organizations already have AI agents in production and 72% are deploying across production and pilots combined, Deepexi’s proven, governed agentic workflows are no longer an experiment—they are core infrastructure.

Strategic Partnership with Huawei Cloud: Tackling Compute and Data Bottlenecks

In the commercialization of enterprise AI, computing costs and access to high-quality domain data represent two of the industry’s most critical bottlenecks. On August 12, Deepexi announced a strategic alliance with Huawei Cloud to jointly launch enterprise data intelligence solutions, providing strong operational backing for the company’s long-term expansion.

The partnership combines the complementary strengths of both technology leaders. Huawei Cloud provides underlying Ascend AI computing clusters and distributed cloud infrastructure, while Deepexi brings its deep expertise in enterprise data governance, data tokenization, and vertical AI agent deployments. By integrating with Huawei’s domestic Ascend compute clusters, Deepexi not only secures stable, long-term computing power but also significantly drives down token processing costs. This cost efficiency establishes ideal conditions for exploring usage-based, token-metered commercial billing models—precisely the kind of consumption-based pricing that aligns with the agentic AI future.

Crucially, falling AI costs are widely expected to accelerate enterprise adoption of autonomous agents. Deepexi’s partnership with Huawei Cloud positions the company to capture this demand wave with a cost structure that improves as token volumes scale—a powerful margin-expansion dynamic that stands in stark contrast to the fixed-cost burden of traditional SaaS.

Strong Institutional Backing Highlights Long-Term Investment Value

Reflecting strong capital market confidence, Deepexi announced on August 17 the successful placement of 14,286,000 new H-shares at HK$35.00 per share, raising net proceeds of approximately HK$488.0 million. Successfully closing a sizeable placement amid broader market volatility demonstrates strong institutional recognition of Deepexi’s proven business model, robust unit economics, and profitability trajectory.

The company’s strategic shareholder structure provides a solid foundation for long-term growth. It is supported by prominent independent investors, including Hillhouse, 5Y Capital, and BAI, as well as industry-focused investors such as Shanghai AI. These partnerships enhance Deepexi’s industry reputation, drive technological innovation, and strengthen its market competitiveness.

The newly raised funds are earmarked primarily for continuous R&D in next-generation enterprise agent systems and token productivity platforms—positioning the company to capture the $206.5 billion AI agent software market projected for 2026, which Gartner expects to grow to $376.3 billion in 2027.

Investment Thesis: Why Deepexi Stands Apart

1. AI-Native Architecture in an Agentic World. Unlike legacy SaaS vendors facing seat compression, Deepexi’s token-based model is structurally aligned with the agentic AI future. The company doesn’t sell software seats—it sells AI productivity.

2. Rare Profitability in Enterprise AI. Quarterly GAAP profitability at a 56.5% gross margin, with projected revenue CAGR of 95.5% through 2027, places Deepexi among the most financially disciplined enterprise AI companies globally.

3. Model-Agnostic, Vendor-Neutral Platform. In an environment where enterprises demand flexibility, Deepexi’s pluggable architecture—supporting DeepSeek, Zhipu, and other open-source models—eliminates lock-in and captures value regardless of which foundation model wins.

4. Proprietary Data Moat. With over 2,000 vertical industry skills and deep expertise in manufacturing, retail, healthcare, and transportation, Deepexi’s domain-specific data capabilities create barriers that general-purpose AI vendors cannot replicate.

5. Strategic Compute Partnership with Huawei Cloud. Long-term, cost-effective compute access, combined with token-metered pricing models, positions Deepexi for sustained margin expansion as token volumes scale.

6. Institutional Validation. Backing from top-tier investors and a successful HK$488 million placement amid market volatility signal strong institutional confidence in Deepexi’s business model and growth trajectory.

The enterprise AI market has decisively shifted from early conceptual exploration into a new era of commercial execution and tangible financial delivery. Backed by mature product suites across FastData and FastAGI, proprietary vertical ontologies, strategic cloud partnerships, and an official transition to net profitability, Deepexi Technology has proven that enterprise AI can deliver both transformative technology and sustainable profits.

Hashtag: #DeepexiTechnology

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

About Deepexi Technology

Deepexi Technology is China’s leading provider of enterprise large model AI application solutions. Through its FastData enterprise data intelligence solution and FastAGI enterprise AI solution, it empowers enterprises to integrate their data, decisions and operations efficiently at scale. Deepexi ranked fifth in China’s enterprise large model AI application solution market in terms of revenue in 2024. Its solutions have achieved large-scale commercialization across multiple verticals, including consumer goods, manufacturing, healthcare and transportation. As of June 30, 2025, Deepexi Technology served a cumulative total of 283 enterprise customers across various industries.

This press release contains forward-looking statements that involve risks and uncertainties. Actual results may differ materially from those projected. The company undertakes no obligation to update any forward-looking statements.

Project integrates UNESCO-recognized Can Gio mangrove forest as core climate infrastructure, expanding ESG to include Regeneration and Climate Adaptation

HANOI, VIETNAM – Media OutReach Newswire – 26 August 2026 – Vinhomes Green Paradise, the 2,870-hectare coastal urban development in Can Gio, has become the first greenfield project worldwide to receive the Interim Custom ISO 37122 Smart City Certification from the World Council on City Data (WCCD), even before the arrival of its first residents.

The milestone reinforces Vinhomes’ pioneering “ESG++” model for the project, a framework that moves beyond traditional environmental, social and governance pillars to explicitly incorporate Regeneration and Climate Adaptation as core design principles.

By placing the adjacent UNESCO-recognized Cần Giờ Mangrove Biosphere Reserve at the center of its urban strategy, rather than treating it as peripheral landscape, Vinhomes is demonstrating that large-scale coastal development can simultaneously address biodiversity loss, carbon sequestration and long-term climate resilience.

A measured response to the global urban health crisis

The urgency of rethinking urban models is underscored by global health data. According to the Health Effects Institute’s State of Global Air 2025 report, air pollution was linked to 8.1 million deaths worldwide in 2021, overtaking tobacco to become the second-leading global risk factor for death and the leading cause of death for children under five after malnutrition. The World Health Organization estimates that approximately 89% of the 4.2 million annual premature deaths attributed to outdoor air pollution occur in low- and middle-income countries, precisely the regions experiencing the fastest urban growth.

This reality has redirected global capital flows. Grand View Research projects the global smart-city market to reach USD 3.76 trillion by 2030, compounding at nearly 30% annually, one of the fastest expansion rates across any industry sector. In this context, the question is no longer whether smart cities are worth building, but which developments can demonstrate independently verifiable performance.

Vinhomes Green Paradise has addressed this global benchmark through its Interim Custom ISO 37122 Smart City Certification, awarded by the World Council on City Data (WCCD), which validates its smart infrastructure and data-driven urban governance against international standards.

Moving beyond conventional standards, the project operates under an elevated philosophy known as ESG++, integrating two commitments that extend well past standard corporate reporting: Regeneration and Climate Adaptation. Under the pillar of Regeneration, the development goes beyond traditional conservation by actively restoring local coastal ecosystems through targeted mangrove reforestation, biodiversity preservation and community environmental education.

Concurrently, its Climate Adaptation strategy re-engineers urban infrastructure to proactively withstand long-term environmental hazards such as sea-level rise, storm surges and coastal erosion, ensuring the city is built for future resilience rather than simply reacting to present conditions.

Community perspectives reflect the broader appeal of this approach. Ho Chi Minh City-based content creator FABO Nguyen, speaking to CNBC, described his affection for the city’s dynamism alongside growing concerns about air quality and congestion. For him, and for many urban residents weighing similar trade-offs, the Vinhomes Green Paradise model offers a forward-looking alternative that does not require leaving the region, but instead redefines what a sustainable, livable urban environment can look like.

Mangrove forests as climate infrastructure

What sets Vinhomes Green Paradise apart from most coastal megaprojects globally is not merely its size, but its ecological adjacency. The development borders the Can Gio Mangrove Biosphere Reserve, a UNESCO-recognized site spanning over 75,000 hectares, one of southern Vietnam’s most valuable natural assets.

Recent scientific research has revalued the role of mangroves in climate regulation. A study published in Nature Communications indicates that while mangroves account for just 0.36% of global forest area, they sequester carbon per hectare at nearly four times the rate of mature terrestrial forests, making them among the most efficient natural carbon sinks on Earth. According to the Blue Carbon Initiative, a single hectare of mangrove forest can store carbon equivalent to approximately 1,500 tons of CO₂, a figure no concrete structure can replicate.

Against a backdrop where global mangrove cover has declined by as much as 67% in some estimates, Vinhomes has adopted a preservation-first strategy. The Vinhomes Green Paradise master plan limits building density to just 16% of the total area and establishes a dedicated Forest Regeneration and Climate Adaptation Fund. These measures treat the adjacent mangrove ecosystem not as passive scenery but as active, natural defensive infrastructure against coastal erosion and storm surges, precisely the approach that climate scientists are urging coastal cities worldwide to adopt.

This ecological commitment aligns with measurable economic value. JLL’s research across Asia Pacific, based on an analysis of nearly 3,100 Grade A office buildings in 14 cities, shows that green-certified buildings can command rental premiums as high as 28% over non-certified equivalents in the region’s tightest markets, with supply continuing to lag behind occupier demand. Sustainability, in other words, has ceased to be simply a virtue and has become a measurable asset class.

Similarly, the global energy transition reinforces the viability of Vinhomes Green Paradise’s renewable-energy targets. The Global Wind Energy Council forecasts offshore wind capacity to nearly triple from 83 GW in 2024 to approximately 238 GW by 2030, while the International Energy Agency projects global renewable capacity to grow by 4,600 GW over the same period, equivalent to adding the combined current generation capacity of China, the European Union and Japan. Against this backdrop, Vinhomes Green Paradise’s ambition to run on offshore wind, solar and battery storage reflects a broader global trajectory rather than an isolated pledge.

A blueprint for 21st-century urbanization

Taken together, the ISO 37122 certification, the ESG++ framework, the strategic integration of the Can Gio mangrove ecosystem and the economic revaluation of green assets, Vinhomes Green Paradise presents a coherent response to a defining question in contemporary real estate: how to build cities that are both worth living in and built to endure.

The project’s recognition as the first Official Participant in New7Wonders’ global “7 Wonders of Future Cities” campaign further underscores its international relevance. Vinhomes Green Paradise serves as a notable reference point for coastal urban development, illustrating how economic growth and ecological preservation can be integrated in regional contexts.

Hashtag: #Vinhomes

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

About Vinhomes

Vinhomes is Vietnam’s largest residential real estate and integrated township developer. The company pioneers the development of synchronized, modern large-scale townships, delivering premium living standards and unlocking sustainable investment opportunities for domestic and international clients.

By Subrata Majumder In the post Japanese Yen appreciation era, Japanese overseas investment shifted to China and ASEAN for low-cost manufacturing, leaving India behind. The trajectory is now witnessing movement in the reverse gear, owing to US President Trump’s high reciprocal tariff. Japanese investment has surged in India, leaving China and ASEAN behind. While Japanese […]

The article Trump’s high-tariff regime revives Japanese investment in India appeared first on Latest India news, analysis and reports on Newspack by India Press Agency).