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On July 10, China's Nexchip debuted on the Hong Kong Stock Exchange after growing into the world's eighth largest semiconductor foundry on its strength in older-generation chips.
Supplies of mature-node semiconductors are becoming tight as top foundries focus on advanced chips for <a href="/industry/ai">artificial intelligence</a>. That trend is a tailwind for latecoming Chinese players like Nexchip.
Nexchip raised HKD 6.9 billion (USD 880.3 million) through its IPO and related share issuance. Its stock opened 11% above the offering price.
Nexchip was established in 2015 under the leadership of a local government in China. Funding came primarily from a state-backed investment fund, while Taiwan's Powerchip also invested and provided technical expertise.
Powerchip's former president, Tsai Kuo-chih, serves as Nexchip's chairman. Powerchip-affiliated investors now hold just over 7% of the company, but their ties still run deep.
At the listing ceremony in Hong Kong, Tsai said the company would increase R&amp;D investment and production capacity, while speeding up its global expansion. He said the IPO shows the confidence that international capital markets have in China's semiconductor sector.
Nexchip listed on the Star Market, the Shanghai Stock Exchange's technology-focused board, in 2023. The dual listing in Hong Kong is aimed at reaching out to international investors and enables the company to raise Hong Kong dollars, which are more readily convertible into foreign currency, facilitating overseas purchases of equipment and technology.
Nexchip produces chips used in display panels, as well as image sensors, power management semiconductors, and other products. Its most advanced manufacturing process used in mass production is the 40-nanometer node, a technology that has been in use for nearly two decades.
The company's growth picked up thanks to the semiconductor shortage triggered by the Covid-19 pandemic. Supported by government policies, Nexchip continued expanding production even after market conditions softened. Its annual output reached 1.67 million 300-millimeter wafer equivalents in 2025, up 74% from 2023.
Nexchip ranked eighth worldwide in semiconductor foundry revenue in this year's January-March quarter, according to Taiwan-based research firm TrendForce. It surpassed Taiwan's Powerchip Semiconductor Manufacturing Corporation, the company that gave it its technological start.
Chip market conditions remain favorable. As industry leaders such as Taiwan Semiconductor Manufacturing Company concentrate on advanced AI chips, TrendForce said there are signs that prices for several generations of technologies could rise by 5–10% during the July-September quarter.
Taiwan's United Microelectronics Corporation, which also produces mature-node chips, reported that June revenue rose 22.9% on the year.
China's largest foundry, Semiconductor Manufacturing International Corporation (SMIC), said in a May earnings briefing that semiconductor production capacity outside China is increasingly being allocated to AI-related products.
"Consumer electronics makers and other customers are seeking to secure manufacturing capacity [for chips] in China, and orders are returning," SMIC co-CEO Zhao Haijun said.
Typically, late entrants in mature-node semiconductor manufacturing face fierce competition. Building fabrication facilities requires big investments, and established players that have already depreciated their production assets enjoy significant cost advantages. Meanwhile, customers move on to more advanced chips over time.
But Chinese chipmakers have continued investing heavily despite being latecomers. Capital spending by Chinese foundries from 2015 to 2023 exceeded their revenue by 12%, according to the US-based Semiconductor Industry Association. Companies outside of China invested an amount equivalent to roughly 33% of revenue.
A report by Rhodium Group, a US think tank, noted that Chinese foundries are able to invest under financial constraints that differ from those faced by foreign competitors, thanks in part to government support.
This article first appeared on <a href="https://asia.nikkei.com/business/tech/semiconductors/china-s-nexchip-has-global-ambitions-as-legacy-chips-thrive-in-ai-s-shadow">Nikkei Asia</a>. It has been republished here as part of 36Kr’s ongoing partnership with <a href="https://www.kr-asia.com/nikkei-teams-up-with-36kr-in-asia-tech-news-coverage/">Nikkei</a>.
Note: HKD figures are converted to USD at rates of HKD 7.84 = USD 1 based on estimates as of July 14, 2026, unless otherwise stated. USD conversions are presented for ease of reference and may not fully match prevailing exchange rates.

China's Nexchip has global ambitions as legacy chips thrive in AI's shadow

Hong Kong

China

… Shenzhen-based AI hardware company, has raised an eight-figure RMB sum in an angel round. Investor details were not disclosed. The company is developing home AI infrastructure comprising voice-enabled routers, network-attached storage devices, and computing boxes that combine connectivity, storage, and local processing. It will use the funds for R&amp;D, production, global channel development, and ecosystem expansion. —<a href="https://36kr.com/p/3879780282495236">36Kr</a></li>
<li aria-level="1">ZeroErr, a Shenzhen-based developer of high-precision robotic joints and other core components, has raised a nine-figure RMB sum in a Series C++ round. Cowin Capital led the round, with participation from Guotai Junan Innovation Investment and existing investor Tsinghua Holdings Capital. The company will use the funds to expand its production capacity and global market presence. —<a href="https://36kr.com/p/3885232033378308">36Kr</a></li>
<li aria-level="1">NNB Nutrition, a Nanjing-based developer of dietary supplement ingredients, has raised nearly RMB 200 million (USD 29.5 million) in a Series C+ round. China Life Private Equity Investment led the round, with participation from existing investor MX Capital. The company will use the funds for product R&amp;D and the construction of a new manufacturing facility. —<a href="https://36kr.com/p/3890940898867712">36Kr</a></li>
<li aria-level="1">Tashan Technology, a Beijing-based developer of AI-powered tactile perception technology, has raised a nine-figure RMB sum in a Series B round. Investors include Joyson Electronics, Taiping Innovation, AUX Group, Pengling, Lavender Hill Capital Partners, and Hongshan Innovation Capital. Existing investors Dowstone and BeFor Capital also made follow-on investments. The company will use the funds to upgrade its tactile sensors and chips, deploy application-specific solutions, and build a tactile data and training platform for <a href="/industry/robotics">robotics</a>. —<a href="https://36kr.com/p/3889141540370949">36Kr</a></li>
<li aria-level="1">DeepCtrls, a physical AI company serving the electromechanical and energy infrastructure sectors, has raised a nine-figure RMB sum in a Series B round. SDIC Fund and CMB International jointly led the round, while JinkoSolar made a strategic investment. Existing investors HSG, Source Code Capital, Forebright Capital, and China Merchants Venture also participated. DeepCtrls will use the funds for R&amp;D, the broader deployment of its standardized DeepBot product, and international expansion. —<a href="https://36kr.com/p/3887726503688968">36Kr</a></li>
<li aria-level="1">Thinkhead M&amp;E, a Shanghai-based manufacturer of high-end machine tools, has raised a nine-figure RMB sum in a new round led by Wuliangye Fund, with participation from Megmeet. The company produces precision gear-grinding machines, grinders, and milling machines for industries including automotive manufacturing, robotics, aerospace, and precision reducers. It will use the funds for product R&amp;D, the commercialization of new products, and expansion into overseas markets. —<a href="https://36kr.com/p/3886400975040520">36Kr</a></li>
<li aria-level="1">Snapmaker, a consumer 3D printer manufacturer, has raised RMB 1 billion (USD 147.3 million) in a round led by Cathay Capital, with TAL Education making a strategic follow-on investment. Existing shareholders <a href="/company/meituan">Meituan</a>, DragonBall Capital, GL Ventures, and Shunwei Capital also increased their commitments. Snapmaker did not disclose how it would allocate the proceeds. Its current priorities include expanding its library of printable models and applying AI tools to make 3D design and creation more accessible. —<a href="https://36kr.com/p/3885728813691145">36Kr</a></li>
<li aria-level="1">MindRank, an AI-native biopharmaceutical company, has raised USD 52 million in a Series B round. Investor details were not disclosed, although the company said the round involved major RMB- and USD-denominated funds. MindRank will use the funds to upgrade its platform, enhance its multi-agent and clinical data feedback systems, advance oral GLP-1 drug candidate MDR-001 through Phase 3 trials and commercialization, and expand its pipeline of differentiated drug candidates. —<a href="https://36kr.com/p/3885479689465858">36Kr</a></li>
<li aria-level="1">Xingji Yuandian, a Shanghai-based provider of space-computing satellite systems, has completed seed and angel rounds totaling an eight-figure RMB sum. Unity Ventures backed the seed round. The angel round was jointly led by Unity Ventures, Plum Ventures, and a fund under Shanghai State-owned Capital Investment, with Shanghai Angel Group participating through a co-investment arrangement. The company did not disclose a detailed allocation of the proceeds. It is developing low-Earth-orbit satellites designed to host computing payloads and support a future orbital data center. —<a href="https://36kr.com/p/3885413484163074">36Kr</a></li>
</ul>
whereRelatedArticle
<h3>Amity Robotics, Acti, Qashier, and others made recent headlines:</h3>
<ul>
<li aria-level="1">Amity Robotics, a Thailand-based company, raised USD 7 million in seed funding through a mix of equity and debt financing. East Ventures led the equity round, with participation from 500 Global, while AlteriQ Global led the debt facility.</li>
<li aria-level="1">Acti, a Singapore-based AI startup founded by former <a href="/company/baidu">Baidu</a> executives, raised USD 5.3 million in a seed round led by Bitkraft Ventures.</li>
<li aria-level="1">Qashier, a Singapore-based <a href="/industry/fintech">fintech</a> company, raised USD 6.125 million in a Series A+ round comprising equity and debt financing. The round was led by Cocoon Capital, IFP Securities, and BlackSoil Global, with participation from angel investors.</li>
</ul>
If there are any news or updates you'd like us to feature, get in touch with us at: <a href="mailto:hello@kr-asia.com">hello@kr-asia.com</a>.
Note: RMB figures are converted to USD at rates of RMB 6.79 = USD 1 based on estimates as of July 14, 2026, unless otherwise stated. USD conversions are presented for ease of reference and may not fully match prevailing exchange rates.

Deals in brief: BlueOrchard backs Malaysia’s PolicyStreet, PixVerse extends Series C round, Ant Group acquires stake in Boohee Health, and more

Ant Group

East Asia

Singapore

Malaysia

Southeast Asia

When James Peng founded <a href="/company/pony-ai">Pony.ai</a> in 2016, he expected robotaxis, or autonomous taxi services, to need at least a decade of work before moving from long-term vision to large-scale deployment. The technology had to mature. Laws and regulations had to catch up. Public acceptance also had to be tested.
That timeline has largely held. Waymo vehicles now move through the streets of San Francisco, while Pony.ai’s fleet accepts ride-hailing orders in Shenzhen’s busy Nanshan district. <a href="/industry/autonomous-vehicles">Autonomous vehicles</a> have entered public traffic and begun commercial operations.
What Peng may not have anticipated ten years ago was that one of the key constraints on rapid fleet expansion would be a set of routine operations and maintenance tasks that become more complicated once the driver is removed.
When a human is behind the wheel, the driver handles charging, car washing, vehicle maintenance, and even helping passengers with luggage. Once autonomous vehicles enter service, these invisible errands become operational problems of their own.
<a href="https://36kr.com/p/3876767161446665">In an interview</a>, Pony.ai CEO James Peng spoke with 36Kr about robotaxi deployment and operations, the company’s choices around mass production for its Level 2 driver assistance business, its decision not to rush into embodied intelligence, and its technical approach.
Peng told 36Kr that Pony.ai has already built an operations team and developed a set of operations and maintenance standards to support autonomous vehicles. “This workforce includes remote safety operators, as well as ground support and logistics staff,” he said.
Even if the fleet expands rapidly, Peng said the staff-to-vehicle ratio will not rise significantly, breaking from the traditional assumption that more vehicles require more people. He believes this is an operational blind spot that today’s ride-hailing companies and automakers may overlook when entering the robotaxi market.
After nearly a decade of development, driverless vehicle technology has entered a stage of commercial operation across several fields as automotive intelligence has matured across the supply chain. Autonomous logistics vehicles are one example. Rino.ai, Neolix, Zelos, and others have attracted investor backing and become prominent names in China’s logistics sector.
Robotaxis, one of the most visible commercial applications for driverless vehicles, have attracted automakers, ride-hailing platforms, and other companies. Tesla, <a href="/company/xpeng">Xpeng</a>, <a href="/company/geely">Geely</a>, and others have announced plans to operate driverless vehicles.
One mainstream view is that automakers will become key robotaxi players because they have full-vehicle engineering capabilities and driver assistance-to-autonomous driving technology systems that can generate a data flywheel, where more vehicles on the road produce more data to improve the system. But Peng told 36Kr that manufacturing capacity is already abundant in China. For robotaxis, he said, any company that has not operated such a service before is still nearly starting from zero.
Peng believes technical capability answers the zero-to-one question for robotaxis, namely whether a company can build the system at all. Operating capability, by contrast, determines efficiency. Pony.ai is now exploring what it sees as an increasingly clear business model.
The road has not always been smooth. The sector has long faced commercialization challenges, and many autonomous driving companies have shifted their focus toward supplying Level 2 driver assistance systems, which still require human supervision, as they searched for more revenue channels.
Pony.ai is one of the few companies that has remained committed to robotaxis. Its seventh-generation vehicles have already achieved per-vehicle profitability in Guangzhou and Shenzhen. After validating its financial model, Pony.ai plans to expand its fleet to 3,500 vehicles this year.
Looking back at the choices it has made, Pony.ai has often taken a path that runs counter to prevailing assumptions.
Peng said the company briefly tried the large-scale Level 2 driver assistance business, but quickly concluded that it was likely to be low margin because “the technical threshold is low, the user experience is not standardized, automakers hold the bargaining power, and intelligent driving companies can easily fall into price wars.”
On the push by automakers and ride-hailing platforms into robotaxis, Peng was more pointed. “Making an announcement is always easy,” he said. “Tesla has been talking about it for ten years. Has it done it?”
Automakers generally hope to emulate Tesla by using existing end-to-end algorithm capabilities as a common technology base for both driver assistance and robotaxi businesses.
But Peng offered a technical view that differs from the mainstream. Pony.ai, he said, has not followed the trajectory of large language models by building a unified autonomous driving algorithm with a vast number of parameters. Instead, it has continued to use a strategy that combines multiple smaller models, improving operating efficiency and reducing dependence on computing power.
As driver assistance developers move away from maps, Pony.ai has again chosen not to follow the crowd. Peng said the company will continue to use a lightweight mapping approach for the long term.
“You’re familiar with the roads you drive often, so driving them is easier. Places you haven’t been to before are tiring. That’s normal. So why not add maps?” Peng said. “Even Tesla uses maps.”
Pony.ai has also decided against entering embodied intelligence at this stage, choosing instead to watch from the sidelines.
“This is another thing that will take at least ten years,” Peng said directly. “There will always be opportunities to do it, but you still have to see clearly and think clearly.”
KrASIA features translated and adapted content that was originally published by 36Kr. This <a href="https://36kr.com/p/3876767161446665">article</a> was written by 36Kr Auto.

Pony.ai CEO James Peng on the company’s path in autonomous driving

Pony.ai

Transportation

Autonomous Vehicles

Mobility

US companies' use of Chinese <a href="/industry/ai">artificial intelligence</a> services surged in June, when Anthropic suspended some models over government restrictions, as open-source models with prices as low as one-twentieth of Anthropic's Claude Mythos become more entrenched in the American corporate world.
In response to soaring fees, US cryptocurrency exchange Coinbase shifted much of its AI use to cheaper Chinese models as GLM and Kimi. This and other steps have "cut our AI spend nearly in half," CEO Brian Armstrong wrote in a social media post on June 27.
GLM, developed by Z.ai, and Kimi, developed by Moonshot AI, both excel at software coding and time-consuming tasks. Their cost per token is about one-twentieth that of Anthropic's latest models.
GLM-5.2, released in mid-June, is drawing notice for its performance. In testing with roughly 9,000 problems to measure the practical capabilities of AI, it ranked fifth out of around 500 models, surpassing those from Google and others.
Many US AI experts have likened it to China's <a href="/company/deepseek">DeepSeek</a>, whose R1 model appeared in January 2025 and stunned the world with its capabilities and low costs.
Since the 2022 public release of OpenAI's ChatGPT, American companies have led the way in AI performance, with Chinese companies following closely behind. Most US AI models are closed, meaning that their technology is kept secret, while many Chinese companies build inexpensive and easily replicable open-source models.
As AI evolves, soaring usage fees have emerged as a hurdle. More complex tasks lead to the use of more tokens, pushing up costs. Some major US companies, including Airbnb and Uber Technologies, have acknowledged internal use of Chinese AI.
US President Donald Trump's administration, previously reluctant to regulate AI, imposed export controls on Anthropic's Claude Mythos 5 and Claude Fable 5 in June, resulting in the company temporarily suspending both models.
The administration's shift to a more controlling stance dramatically increased the risk of sudden action making services unavailable, leading more companies to adopt Chinese models.
Data from US startup OpenRouter—which offers a service used by more 8 million users, primarily engineers, that allows them to switch freely between more than 400 types of AI—was used to compare the number of tokens consumed by US and Chinese AI.
Chinese models, which had less than half the number of tokens used as US models at the start of the year, surpassed US models multiple times after February. Their use exploded in June, reaching 25 trillion tokens in the final week of the month, more than double the number at the end of May and 78% more than US models.
DeepSeek held the top spot in market share by company in June, at 19%. Such other Chinese companies as Z.ai and <a href="/company/xiaomi">Xiaomi</a> also saw significant growth, while Google's and OpenAI's shares shrank.
"With cost effective token usage dominating the summer headlines, we'd expect these cheaper-but-still-powerful [Chinese] open source models to continue to attract more tokens over time," OpenRouter said in a report.
The US is increasingly wary of the rapid advances in Chinese AI. Anthropic CEO Dario Amodei has posited that AI will be used to strengthen authoritarian states like China, including through surveillance of citizens, leading to a decline in democracy.
A potentially greater threat is Chinese AI companies engaging in distillation, using the output of high-performance AI models to develop other AI, reducing costs while maintaining performance. Many US companies prohibit unauthorized distillation.
In mid-June, Anthropic wrote to US senators to <a title="" href="https://asia.nikkei.com/business/technology/artificial-intelligence/anthropic-accuses-alibaba-of-largest-known-distillation-attack-on-claude" target="_blank" rel="noopener">demand action against Alibaba</a>, accusing the Chinese technology group of "the largest known distillation attack" on the company to date.
If distillation becomes persistent, even if US companies continue to invest massive funds to develop cutting-edge AI, Chinese companies will be able to quickly catch up.
Using open-source AI models comes with its own risks, as there is no guarantee that Chinese companies will continue to provide their models to external parties indefinitely. There is also a chance that high-performance Chinese AI comparable to Claude Mythos could be developed.
"Open-source models are difficult to regulate with suspensions or prescreening measures because they can be replicated," said Boston Consulting Group's Shinichi Takayanagi, an expert on AI. "If they are available at a low price, it will put pressure on US AI companies to lower prices too, resulting in insufficient investments and potentially leading to neglect of AI safety measures."
This article first appeared on <a href="https://asia.nikkei.com/business/technology/artificial-intelligence/chinese-ai-usage-by-us-firms-soared-after-mythos-restrictions">Nikkei Asia</a>. It has been republished here as part of 36Kr’s ongoing partnership with <a href="https://www.kr-asia.com/nikkei-teams-up-with-36kr-in-asia-tech-news-coverage/">Nikkei</a>.

Chinese AI usage by US firms soared after Mythos restrictions

Artificial Intelligence

Deep Tech

Foundation and Large Models

A July 10 filing from a department of the China Securities Regulatory Commission indicates that <a href="/company/shein">Shein</a> previously submitted a confidential listing application to the Hong Kong Stock Exchange and has met a prerequisite for a listing hearing, marking a step forward in its long-running IPO process.
Shein’s path to an IPO has not been smooth. As early as the beginning of 2020, the company was preparing for a US listing, but it later shelved the process for several reasons. Shein also explored a listing on the London Stock Exchange, though that plan did not materialize.
Over the past several years, Shein’s valuation reached as high as USD 100 billion. For its Hong Kong IPO, the market capitalization implied by the offer price could fall between USD 40 billion and USD 50 billion. Its investors include JAFCO Asia, IDG Capital, Greenwoods Asset Management, Grandway Capital, HSG, Shunwei Capital, Tiger Global Management, Boyu Capital, General Atlantic, Coatue, and Mubadala.
More notably, Shein’s approval for a Hong Kong listing could make it the first internet platform company to complete an IPO through a confidential filing.
On May 6, 2025, the Securities and Futures Commission and Hong Kong Exchanges and Clearing, or HKEX, issued a joint announcement formally launching the technology enterprise channel, or TECH, to further facilitate listing applications by specialist technology companies and biotech companies. The channel also allows eligible companies to submit listing applications confidentially.
The announcement said companies in these two categories are generally at an early stage of development or have yet to commercialize their products. Compared with companies in other sectors, they may face heightened risks if their operating strategies, proprietary technologies, or listing plans are disclosed too early or remain public for too long. To mitigate those risks, the Hong Kong Stock Exchange will allow companies seeking listings under Chapter 18C and Chapter 18A of the Main Board listing rules to submit application proofs confidentially.
Shein, which has significant revenue and profit, does not clearly fall under either category. That means the company may be proceeding through the confidential filing and listing process on the basis of a case-by-case waiver.
Separately, according to a consultation paper HKEX published on March 13, the scope of confidential listing applications would be expanded to all new applicants. Under the proposal, any applicant would be allowed to submit an application without immediately publishing its application proof, while the return mechanism would also be optimized. The consultation period lasted eight weeks and ended on May 8. As of now, no formal document has disclosed that the proposal has taken effect.
Katherine Ng, head of listing at HKEX, said at the time that the exchange was seeking to keep Hong Kong’s listing regime robust and competitive while reinforcing the city’s position as a leading international financial center. She said HKEX’s discussions with stakeholders showed broad demand for more high-quality investment opportunities in innovative companies, as well as a more efficient listing regime that can keep pace with market changes while preserving investor trust.
Ng said the proposals built on Hong Kong’s 2018 listing reforms, which reshaped the city’s equity market and attracted more innovative companies to list locally. She added that HKEX welcomed feedback on the proposals and would continue engaging stakeholders as Hong Kong works to strengthen its role as a fundraising venue for growth companies and a global capital market for Asia.
This <a href="https://xueqiu.com/2854806290/399662364">article</a> was adapted based on a feature originally written by Stone Jin and published on IPO Zaozhidao. KrASIA is authorized to translate, adapt, and publish its contents.

Shein clears Hong Kong IPO hurdle with CSRC filing notice

Shein

On-demand Services

E-commerce

Consumer Economy

… into repeatable rental and sales locations. This allows users to try the devices in real outdoor settings before deciding whether to buy one.
Xu said this operating model helps reduce potential users’ hesitation while using real user testing data to support product iteration, creating a cycle of experience, validation, conversion, and improvement.
Beyond bringing exoskeletons into the mountains, ULS has also moved into Haglofs offline stores. Acknowledging that exoskeleton makers tend to lack outdoor experience, Xu said ULS chose to fill that gap by working with brands that understand outdoor users. “Learning from seasoned century-old outdoor brands can help us understand customers and use cases more precisely, and iterate and adjust our products.”
At the same time, as an exoskeleton technology company whose core capability is product R&amp;D, Viatrix aims to work with ecosystem partners to use technology to build the next generation of outdoor gear.
From one-time trials to recurring outdoor use, and from traditional retail outlets to experience-based locations, ULS is trying to build a model that can raise category awareness while converting trials into rentals and sales.
<h3>Extending human strength</h3>
Is wearing an exoskeleton to climb a mountain cheating? Xu is familiar with the question.
“An exoskeleton responds within milliseconds and mechanically amplifies force based on human movement and commands, ensuring that users can still maintain ideal technical movements when their physical strength reaches its limit.”
In other words, an exoskeleton does not make decisions for people. It conserves a person’s physical strength and makes correct movements easier to complete, extending endurance. Under the same physical limits, a person can walk farther while still exercising their body.
The floating 360-degree joint currently used in ULS Robotics’ exoskeletons can better match the flexibility of human movement, helping reduce falls and unnecessary movement restrictions during hikes.
Xu drew a clear line between consumer- and medical-grade exoskeletons. In his view, the difference between the two is not a reduction in technical capability, but a fundamental difference in use case. Medical-grade exoskeletons need to be deeply integrated with physicians’ clinical diagnoses and involve complex rehabilitation assessments and risk controls.
But for ordinary consumers, the boundary between the two types of products is often blurry. “Many people cannot clearly distinguish the actual functions of exoskeletons, or what is medical and what is for daily wear,” Xu said.
ULS places importance on proactive presales explanation, providing clear guidance and instructions when users inquire. “If users have hemiplegia, stroke, or related issues, we clearly do not recommend that they use consumer-grade exoskeletons. For older users, we also ask them to film a short video of themselves walking, then make some presales judgments based on their walking condition.”
Behind this restraint, and the decision to avoid certain use cases, is a clearer understanding of the boundaries of exoskeleton technology. Fortune Business Insights predicts that the global wearable robotic exoskeleton market will reach USD 2.49 billion in 2025, as interest in the field rises further. ULS and several other brands have completed multiple financing rounds, according to 36Kr.
The evolution of exoskeletons also raises another question: when technology can help people go farther, what defines the physical boundaries of the human body? In Xu’s view, unlike humanoid robots, whose goal is to replace people, exoskeletons are built around cooperation with people. They aim to preserve human agency while giving people greater strength and freedom.
KrASIA features translated and adapted content that was originally published by 36Kr. This <a href="https://36kr.com/p/3880770270425089">article</a> was written by Yang Yuexin for 36Kr.

ULS Robotics brings sci-fi mecha closer to consumers through hiking gear

Robotics

Zelostech, short for Zelos Technology, and Eevie have launched an autonomous cargo vehicle deployment in the Changi Airport Free Trade Zone in Singapore. Zelostech is using its Z5 autonomous cargo vehicle to connect parts of Changi Airport’s logistics network, including ground handling, cargo consolidation, freight forwarding, and related operations.
The deployment supports driverless cargo movement across interconnected airport logistics operations and establishes an integrated model for landside logistics automation.
The Changi Airport project marks another step in Zelostech’s expansion across Southeast Asia. The company previously secured public road operating approvals in Singapore, enabling its autonomous logistics vehicles to operate in regulated urban environments.
Zelostech is also expanding in Malaysia. In January, it partnered with Autonomous Logistic Solutions (ALS) and Pos Malaysia to launch Malaysia’s first autonomous vehicle proof-of-concept dedicated to postal and logistics operations, according to Zelostech. The phased trial began at Pos Malaysia’s national mail center.
During the proof-of-concept phase, Zelostech and ALS completed more than 1,000 kilometers of autonomous operations in a controlled environment with Pos Malaysia. The project logged 36 consecutive days without accidents or operational incidents, the company said.
Based on those validation results, Malaysia’s Ministry of Transport approved the country’s first dedicated public road trial license plate for a Level 4 autonomous logistics vehicle on June 30, according to Zelostech. Level 4 systems are responsible for driving tasks within limited service areas and do not require a human driver when engaged. Zelostech’s robovan is expected to begin public road testing in Cyberjaya over the next three to six months.
The Changi Airport deployment also gives Zelostech a foothold in airport logistics, where operating requirements are stricter than in urban delivery. By integrating its <a href="/industry/autonomous-vehicles">autonomous driving</a> system into a major aviation logistics environment, Zelostech is applying its urban delivery experience to air cargo. If the model proves scalable, the Changi project could serve as a reference for autonomous freight operations at other airports.
Unlike autonomous vehicle pilots that focus mainly on point-to-point cargo transport, Zelostech’s Changi Airport project is designed as a multinode logistics integration system. It connects core sites including air cargo terminal operations facilities, the logistics consolidation hub, and selected freight forwarder warehouse operations.
The company links aviation operations systems, ground handling systems, and its own autonomous driving system across the logistics chain. The aim is to reduce operational silos and improve coordination in the airport’s regulated logistics environment.
The value of autonomous driving in airports is often framed as a way to replace human drivers. Zelostech’s project points to a broader challenge: airport landside logistics depends on coordination among multiple participants and operating nodes, not just labor availability.
Cargo terminals, consolidation hubs, and freight forwarder warehouses often operate separately. Cargo flows between nodes still rely heavily on manual dispatching, while delayed information and disconnected systems can slow operations. Through system integration, Zelostech is trying to connect dispersed operating units into a centrally dispatched logistics network, making cargo transfers more coordinated and less dependent on manual dispatching.
Zelostech said its autonomous van operates under strict safety constraints in a controlled airport environment. The Changi project uses a shared operating framework that connects aviation operators, logistics service providers, and autonomous driving technology systems, offering a potential model for multiparty collaboration in airport logistics automation.

Zelostech expands in Southeast Asia with Changi Airport deployment, Malaysia license

Logistics

… suppliers, face weak market demand, significant overcapacity and massive drops in profit.
Reports of radical cost-cutting plans at Volkswagen caused a stir in late June. According to media reports and unions, up to 100,000 jobs worldwide are at risk. In Germany, four plants reportedly face closure.
This article first appeared on <a href="https://asia.nikkei.com/business/automobiles/the-unstoppable-rise-of-china-made-cars-in-europe-5-things-to-know">Nikkei Asia</a>. It has been republished here as part of 36Kr’s ongoing partnership with <a href="https://www.kr-asia.com/nikkei-teams-up-with-36kr-in-asia-tech-news-coverage/">Nikkei</a>.
Note: EUR figures are converted to USD at rates of EUR 0.88 = USD 1 based on estimates as of July 8, 2026, unless otherwise stated. USD conversions are presented for ease of reference and may not fully match prevailing exchange rates.

The unstoppable rise of China-made cars in Europe: 5 things to know

Xpeng

GAC Group

Leapmotor

Electric Vehicles

… April that the company will take a conservative approach to domestic store openings but will actively pursue foreign ones, starting in Southeast Asia.
This article first appeared on <a href="https://asia.nikkei.com/business/companies/gold-slump-tests-chinese-brand-laopu-s-resilience-as-luxury-upstart">Nikkei Asia</a>. It has been republished here as part of 36Kr’s ongoing partnership with <a href="https://www.kr-asia.com/nikkei-teams-up-with-36kr-in-asia-tech-news-coverage/">Nikkei</a>.
Note: HKD, RMB figures are converted to USD at rates of HKD 7.84 = USD 1 and RMB 6.80 = USD 1 based on estimates as of July 8, 2026, unless otherwise stated. USD conversions are presented for ease of reference and may not fully match prevailing exchange rates.

Gold slump tests Chinese brand Laopu's resilience as luxury upstart

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