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… traditional film production. Director feedback fed back into the training loop.
<figure id="attachment_160079" aria-describedby="caption-attachment-160079" style="width: 422px" class="wp-caption aligncenter"><img loading="lazy" decoding="async" class="wp-image-160079" src="https://console.kr-asia.com/wp-content/uploads/2026/02/CCTV-LNY-Gala-Seedance.webp" alt="" width="422" height="238" /><figcaption id="caption-attachment-160079" class="wp-caption-text">Graphic source: CCTV.</figcaption></figure>
The final result transformed a static painting into a minute-long sequence with dispersion, convergence, close-ups, and character interaction. Each horse retained its color and posture before reassembling into a unified tableau.
Seedance 2.0’s native output currently supports up to 720P resolution at 24 frames per second. To meet the gala’s HDR and 8K broadcast requirements, the team developed a separate enhancement pipeline to upscale the footage.
Creative control also evolved. Early in the process, engineers proposed solutions to directors still testing AI’s limits. Once the model’s usability reached what team members described as roughly 80–90%, directors resumed full creative authority, issuing detailed artistic instructions that the model could execute with greater reliability.
<h3>A “Black Myth moment” for Chinese AI?</h3>
Across both the stage performances and the Doubao app’s interactive features, one name surfaced repeatedly: Seedance 2.0.
Its release ahead of the holiday drew attention within China’s technology sector. Game Science founder Feng Ji reportedly described it as a “Black Myth moment” for Chinese AI, referencing the breakout game Black Myth: Wukong.
What changed? Earlier video-generation models often operated unpredictably. Creators built detailed storyboards, generated multiple clips, and selected the few that were usable. Maintaining character consistency typically required substantial post-production.
By contrast, ByteDance said Seedance 2.0 can generate 15–30 second sequences with camera movement, consistent characters, and synchronized audio from relatively simple prompts, with a reported usability rate above 80%. Transitions between shots are designed to follow what’s described as a director’s intent, shifting the creative workflow from trial and error toward guided generation. These performance metrics are based on company disclosures.
According to the team, the improvement did not stem from a single breakthrough. Instead, it resulted from systematically addressing weak points in training and inference. Following the industry’s broader turn toward reinforcement learning, including advances from companies such as <a href="/company/deepseek">DeepSeek</a>, ByteDance increased investment in foundational models while separating model development from product iteration.
Cost reductions have compounded the impact. If the rate of usable clips falls to roughly one in two attempts, production costs can decline to about RMB 1.4 (USD 0.2) per second, a reported 68% reduction. That shift has reportedly contributed to a rise in AI-generated short videos across platforms including <a href="/company/douyin">Douyin</a>, <a href="/company/bilibili">Bilibili</a>, and <a href="/company/xiaohongshu">Xiaohongshu</a>.
<h3>Getting a billion people to try AI</h3>
In 2015, when the gala’s hosts told viewers to “shake” their phones, the resulting WeChat "red packet" campaign accelerated mobile payments adoption across China. The infrastructure was ready. Users needed only a prompt.
AI infrastructure remains more computationally demanding. A Volcano Engine executive estimated that a red packet request consumes less than one ten-thousandth of a TOPS, or tera operations per second, in CPU power. Generating AI-powered visuals can require roughly ten TOPS per request, millions of times more computational intensity.
Why pursue mass participation now?
In a 1998 interview with BusinessWeek, Apple co-founder Steve Jobs said:
<blockquote>“A lot of times, people don’t know what they want until you show it to them.”</blockquote>
In the three years since ChatGPT gained global attention, startups have experimented with different paths to demand. In the US, Anthropic expanded in enterprise markets with its coding-focused Claude tools, while other companies continued scaling model size.
In China’s consumer-driven internet market, model capability and user acquisition tend to advance together.
As of December, Doubao’s large model reportedly surpassed 50 trillion daily tokens in usage, representing more than tenfold year-on-year growth, according to company figures. Volcano Engine’s 2025 revenue exceeded RMB 20 billion (USD 2.8 billion), also based on company disclosures.
Consumer adoption can drive enterprise procurement. A positive experience with Doubao or ByteDance’s Dreamina may influence purchasing decisions for Volcano Engine’s AI cloud services. At the same time, enterprise requirements can accelerate infrastructure upgrades.
Advanced models are a prerequisite. The more difficult task is translating technical capability into everyday utility, convincing first-time users that multimodal AI is not an abstract competition over benchmarks but a practical tool.
On this year’s gala stage, that translation may already have begun.
KrASIA features translated and adapted content that was originally published by 36Kr. This <a href="https://36kr.com/p/3687261234343559">article</a> was written by Xiao Xi for 36Kr.

ByteDance turns Lunar New Year gala into an AI bonanza

East Asia

China

Artificial Intelligence

Entertainment

Deep Tech

Creative

Singapore is aggressively courting private companies and financiers to boost capital-raising in the city-state, as rival financial hub Hong Kong draws in technology companies for fundraising with IPOs.
The city-state announced on February 12 and 13 that plans worth billions of dollars will be rolled out to position the Southeast Asian hub as a magnet for “growth capital,” which has been typically going into tech companies, including those specializing in emerging fields like <a href="/industry/ai">artificial intelligence</a>.
After Hong Kong recently welcomed a <a href="https://asia.nikkei.com/business/tech/semiconductors/china-ai-chip-companies-raise-billions-in-hong-kong-amid-tech-rivalry">slew of tech IPOs</a>, Chee Hong Tat, deputy chairman of the Monetary Authority of Singapore, told reporters on February 13 that the global financial industry has ample room for multiple hubs serving diverse needs.
“Different financial centers will have different strengths,” he said. “For Singapore, I think I see our strength as the connections that we have with the region, and this is not only through our venture capitalists, but also through our financial institutions—our linkages through the industry.”
Delivering the city-state’s budget for the year on February 12, Prime Minister Lawrence Wong said his government will earmark an extra SGD 1.5 billion (USD 1.2 billion) for an existing fund to draw “high-quality public listings.” The fund provides pre-IPO financing for target companies that supports them ahead of a debut on the Singapore Exchange.
Another SGD 1 billion (USD 788 million) will be set aside to cover “growth-stage companies,” with the money allocated to a scheme to amass private funding for “promising startups,” Wong said.
An additional SGD 1.5 billion will be devoted to developing <a href="https://asia.nikkei.com/business/markets/singapore-dangles-3.74bn-fund-to-jolt-stock-exchange">Singapore’s fund management industry</a> and raising investor participation in equities listed on SGX.
Last November, the MAS announced a plan for the <a href="https://asia.nikkei.com/business/markets/singapore-taps-nasdaq-for-dual-ipo-scheme-to-boost-interest">SGX and Nasdaq</a> to launch a program in which startups can be publicly listed simultaneously on both bourses.
“Many firms, especially in deep tech, find it harder to raise the larger and longer-term funding that’s needed to scale,” Wong, who is also finance minister, said on February 12. “We will therefore do more to catalyse growth capital in Singapore.”
Meanwhile, Hong Kong is building clout as a hub for tech firms to raise funds. A number of companies that have gone public in the Chinese-ruled city this year are focused on AI or semiconductor technology.
Investor enthusiasm for China's homegrown AI companies has lifted Hong Kong Kong’s Hang Seng index and the mainland's blue-chip CSI 300 to new highs.
Singapore has also benefited from investor bullishness on certain Asian equities. The benchmark Straits Times Index reached 5,000 points for the first time on February 12.
While Hong Kong’s rise can be attributed in part to AI fervor, Singapore’s rally is led by financial institutions from the more traditional banking sector.
The city-state’s authorities are hoping to complement this with an increasing clutch of tech IPOs that carry promise to deliver growth for investors.
“The STI has rallied more than 28% in the last 12 months and continues to outperform Asia peers,” JP Morgan’s Global Markets Strategy unit said in a report after Wong delivered the budget. “A strong macro backdrop, positive surprises in the fiscal buffer, and a continuing strong government commitment to reinvest and transform the economy should fuel growth in the private sector.”
This article first appeared on <a href="https://asia.nikkei.com/business/markets/singapore-chases-growth-ipos-as-hong-kong-attracts-ai-listings">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>.

Singapore chases "growth" IPOs as Hong Kong attracts AI listings

Singapore

Hong Kong

Southeast Asia

… partnership with <a href="https://www.kr-asia.com/nikkei-teams-up-with-36kr-in-asia-tech-news-coverage/">Nikkei</a>.

BYD adds to China's expanding automotive footprint in Pakistan

Transportation

Electric Vehicles

Mobility

Central Asia

As fireworks lit up the sky during the Lunar New Year, another kind of frenzy was unfolding in China’s large model industry.
At one end, tech giants were spending heavily on “red packet” giveaways and free beverage promotions to draw users to their <a href="/industry/ai">artificial intelligence</a> apps. At the other, the so-called “little tigers,” a colloquial term for China’s leading large model startups, were seeing their valuations rise as fresh capital flowed in.
Among them, the biggest deal so far this year likely belongs to Moonshot AI.
<a href="https://www.bloomberg.com/news/articles/2026-02-17/china-ai-startup-moonshot-seeks-10-billion-value-in-new-funding">Bloomberg</a> previously reported that Moonshot is close to extending an <a href="https://kr-asia.com/moonshot-ai-lines-up-new-funding-at-usd-4-8-billion-valuation">existing funding round</a>, originally estimated at USD 500 million. Already backed by Alibaba, Tencent, and 5Y Capital with a total round size of USD 700 million, the extension could lift Moonshot’s valuation to about USD 10 billion or more.
36Kr has learned that, in addition to investors already disclosed, the round extension may include existing backer Gaorong Capital and a new entrant, Cathay Capital. For Cathay, this could be its first investment in a large model company.
Sources familiar with the matter said Moonshot’s fundraising has attracted interest from multiple institutions, including overseas funds with European ties. As of press time, Moonshot AI had not responded to requests for comment.
“Scramble” may be the most accurate word to describe this round. One person close to the deal told 36Kr that since the second half of 2025, when Moonshot began raising funds, limited partners at several institutions have been pressing their general partners to participate.
Recent rounds have also drawn investors who had previously stayed on the sidelines of the large model race. Cathay Capital is one example. As recently as May 2025, managing partner Duan Lanchun told 36Kr that the firm had not invested in general-purpose large models or core infrastructure, preferring to focus on applied deployment and ecosystem development.
This may be the industry’s biggest wave of bandwagoning since early 2023.
The surge has been fueled largely by the rising market capitalizations of Z.ai and MiniMax, whose Hong Kong IPOs have revived confidence in the sector.
Since going public at the start of the year, both companies have seen steady gains. On February 12, after each launched a next-generation model, their market caps reached new highs. As of February 17, Z.ai’s intraday valuation surpassed HKD 220 billion, while MiniMax topped HKD 260 billion. Both have risen roughly four to five times their IPO valuations.
Strong returns in the secondary market have drawn primary investors toward pre-IPO companies such as Moonshot, eager to secure positions ahead of a potential listing.
The Hong Kong listings have also boosted global visibility for China’s large model developers. Notably, European capital, which had shown limited interest in Chinese tech, has now taken a closer look at Moonshot.
According to a source, new investors in the ongoing round had to move quickly to secure allocations. In effect, the new tranche, priced at a valuation above USD 100 billion, was driven by institutions that missed out in the previous round.
“The market caps of Z.ai and MiniMax have provided a valuation anchor for large model companies in the secondary market,” another source said.
Previously, Moonshot and StepFun were valued more conservatively. Even at USD 100 billion, Moonshot would still lag behind Z.ai, at around USD 128 billion, and MiniMax, at about USD 153 billion.
As the secondary market validates the value of large model developers, Moonshot and StepFun have adjusted their fundraising strategies. Since mid-2025, both have adopted rolling fundraising models to accelerate valuation growth.
For Moonshot, the shift has been dramatic. It first announced a USD 500 million round by the end of 2025, which quickly expanded to USD 700 million. The latest extension, potentially pushing its valuation to or past USD 100 billion, would represent more than a twofold increase in just two months.
whereRelatedArticle
Across China, large model companies are now racing to raise funds in both primary and secondary markets. Meanwhile, the tech giants—<a href="/company/bytedance">ByteDance</a>, <a href="/company/alibaba">Alibaba</a>, and <a href="/company/tencent">Tencent</a>—have entered a new phase: spending aggressively to capture users.
During the Lunar New Year, these firms sponsored national broadcasts and poured money into “red packet” campaigns and beverage giveaways, hoping to make their AI apps household names.
For the remaining startups, the more pressing task is staying in the top tier of foundational model R&amp;D.
In a recent interview, StepFun chairman Yin Qi said developing base models requires annual spending of RMB 3–5 billion (USD 420–700 million) just to remain competitive.
For startups, buoyant valuations and investor enthusiasm offer a rare window of optimism. Whether that optimism can translate into lasting technological leadership, however, remains an open question.
KrASIA features translated and adapted content that was originally published by 36Kr. This <a href="https://36kr.com/p/3688162369908611">article</a> was written by Zhou Xinyu for 36Kr.

Moonshot AI sparks investor frenzy as Z.ai and MiniMax reset valuation benchmarks

Foundation and Large Models

… funds toward clinical applications targeting movement disorders, refractory neurological diseases, and sensory impairments. —<a href="https://36kr.com/p/3681333437247106">36Kr</a></li>
<li aria-level="1">Huafeng Integrated Circuits, a semiconductor solutions provider, has completed its Series A round, raising RMB 300 million (USD 42 million). Investors include the Beijing High-Precision and Cutting-Edge Industry Development Investment Fund, Lochpine Capital, a subsidiary of <a href="/company/catl">Contemporary Amperex Technology</a> (CATL), Zhongchuang Juyuan Fund, GF Xinde Investment, Wisdom Capital, and Nanotrend Capital. Separately, it signed RMB 2.3 billion (USD 322 million) in syndicated loan agreements led by the Agricultural Bank of China, with participation from Postal Savings Bank of China, China Construction Bank, Bank of China, and other institutions. The company will use the proceeds to advance its semiconductor packaging technology and expand industrial-scale production. —<a href="https://36kr.com/p/3680183800213380">36Kr</a></li>
<li aria-level="1">Nuwa Agricultural Technology, an agricultural robotics company incubated by Skyworks, has secured an eight-figure RMB investment from Xiamen Guosheng Fund. Founded in December, it focuses on applying embodied robotics to livestock farming. The capital will support R&amp;D, product engineering upgrades, and scaled deployment. —<a href="https://36kr.com/p/3681060245581448">36Kr</a></li>
<li aria-level="1">Kingwills, an advanced materials company specializing in flash-spun materials, has completed a Series C+ round jointly led by industry funds affiliated with Sinochem Capital and CRHC Fund. It will use the proceeds to accelerate technology development and strengthen its global market position. —<a href="https://36kr.com/p/3678625523311496">36Kr</a></li>
<li aria-level="1">Philinks, an optical switching chip developer, has raised RMB 40 million (USD 5.6 million) in an angel round led by Zhongying Capital, with participation from BCT Capital. The company is developing nanosecond-level optical switching systems based on arrayed waveguide grating router technology. It plans to use the funds to scale mass production, expand its team, and develop next-generation products. —<a href="https://36kr.com/p/3678316098134914">36Kr</a></li>
<li aria-level="1">BCIFlex, an invasive BCI company, has raised RMB 300 million in a Series A+ round led by Casstar. Existing investors, including Legend Capital Management, Beijing Pharmaceutical and Health Industry Investment Fund, IDG Capital, Shunwei Capital, Lenovo Capital, Yuanbio Venture Capital, HongShan, <a href="/company/meituan">Meituan's</a> DragonBall Capital, <a href="/company/baidu">Baidu</a> Ventures, Apricot Capital, and Jiayin Capital, also participated. The company will use the funds to support clinical trials and further iterate its BCI systems. —<a href="https://36kr.com/p/3677251288654473">36Kr</a></li>
<li aria-level="1">Galaxea AI, one of China’s leading robotics companies, has closed a RMB 1 billion (USD 140 million) Series B round, bringing its total funding to nearly RMB 3 billion (USD 420 million). Investors in the round included Jinding Capital, BAIC Capital, Hone Capital, Loyal Valley Capital, Qianhai Ark, and InnoVen Capital, alongside follow-on participation from Cathay Capital, DragonBall Capital, Today Capital, Xiang He Capital, and GL Ventures. The company will use the capital to accelerate product commercialization and expand its ecosystem. —<a href="https://36kr.com/p/3678199520846464">36Kr</a></li>
<li aria-level="1">Agilink, a spinoff of Agibot, has completed a new funding round worth a nine-figure RMB sum. The round was led by an undisclosed internet technology company, with participation from Baidu Ventures, Yunfeng Capital, Synstellation Capital, Joyson Electronics, Longcheer, SAIC Financial Holdings, C Capital, and other financial institutions. Existing shareholders BlueRun Ventures and Hillhouse Capital joined during the oversubscription phase. Agilink will use the proceeds to iterate its products and scale manufacturing capacity for high-precision robotic hands. —<a href="https://36kr.com/p/3678179258425990">36Kr</a></li>
<li aria-level="1">Regend Therapeutics, a regenerative medicine company founded in 2015, has completed a RMB 350 million (USD 49 million) Series C round. New investors include Universal Capital, Hefei Hi-tech VC, Hongtai Aplus, Hefei Industry Investment, and Gongqingcheng Fuhui, with follow-on participation from FIRHealth Capital and Tasly, among others. The company focuses on stem and progenitor cell therapies for organ repair and enhancement. It will use the funds to advance clinical development and commercialization of its cell and gene therapy pipeline. —<a href="https://36kr.com/p/3677602224841353">36Kr</a></li>
</ul>
whereRelatedArticle
<h3>Sleek EV, Polybee, Windrose, and others made recent headlines:</h3>
<ul>
<li aria-level="1"><a href="https://www.sleekev.com/">Sleek EV</a>, a Singapore-headquartered electric scooter manufacturer operating in Thailand, raised USD 8.5 million in the first close of its Series A round. The round was led by Kymco Capital, the investment arm of Kwang Yang Motor, alongside more than 20 investors, several of them from China.</li>
<li aria-level="1"><a href="https://polybee.co/">Polybee</a>, a Singapore-based agritech company, has raised USD 4.3 million in a seed round. The round was co-led by Paspalis Capital and Elev8.vc, with participation from Seeds Capital and angel investors.</li>
<li aria-level="1"><a href="https://windrose.tech/">Windrose Technology</a>, an electric truck manufacturer, launched a Series C round targeting a total raise of more than USD 100 million, with the C1 tranche led by a fund managed by China Mobile. The company also secured credit lines from several state-owned banks.</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>.

Deals in brief: Grab to acquire Stash, Gobi Partners backs Valiance Health, Humain invests in xAI, and more

Venture Capital

Private Equity

Investment

Merger &amp; Acquisition

Malaysia

Japan

Saudi Arabia

Middle East

A quiet fault line runs through China’s music consumption market.
On one side sits a large pool of potential users. Musical instrument consumption in China has been growing at an annual rate of more than 12%.
On the other side is a steep conversion cliff. Learning a traditional folk guitar typically requires clearing three hurdles: memorizing chords, mastering finger placement, and controlling rhythm. At any of these points, many beginners give up within two months of buying an instrument, consigning it to the recommerce platform Xianyu (also known as Idle Fish), or sliding it under the bed.
For years, instrument makers have oriented their products toward professional players, structuring entry-level instruction around graded examination systems. Yet for a much larger group of consumers, those who simply want to express themselves through music in a fleeting moment, that demand has largely gone unmet.
LiberLive positions itself along this divide. The stringless guitar, a product category that has existed for just four years, is now appearing on mainstream consumer electronics shelves.
According to the company, LiberLive’s new U1 stringless guitar topped Tmall’s sales rankings on its first day of launch. In its first month on the market, the U1 and C2 series occupied three of the top spots on the category’s bestseller list. C series shipments have surpassed 500,000 units cumulatively, based on official figures released by the company.
The U1’s design attempts to distill elements of a professional musician’s toolkit and adapt them for casual users.
Compact and portable, the U1 features a 60-centimeter body, weighs 1.5 kilograms, and adopts a detachable folding structure. With a single press and strum using a magnetic pick, users can generate real-time chord progressions. Indicators light up where the user presses, lowering the learning barrier. The companion app’s “smart mode” can automatically match more complex chords.
At its core, the interaction model turns performance into an immediate dialogue between user and instrument. During a commute, at an outdoor campsite, or in a parent-and-child moment at home, the U1 is designed to fit into fragmented daily scenarios, separating musical expression from traditional venue and skill constraints.
If music theory is no longer a prerequisite for playing, another question emerges. Users can produce sound with the U1, but how do they shape it into the emotion they want?
The device includes a function intended to address that gap. By tapping the body of the guitar, users can switch among seven preset emotional styles. The same chord progression can be rendered as upbeat or subdued. The sound library expands to nearly 40 instruments, integrating piano, harp, and ukulele tones into a single device. Three built-in drum machine modes support manual switching, allowing a solo user to layer multiple tracks. Environmental, rhythm-based, and pet-inspired sound effects further simplify how users trigger musical interactions.
These functions are powered by <a href="https://kr-asia.com/liberlive-unveils-liberaos-a-high-dynamic-audio-system-for-its-c2-stringless-guitar">LiberAOS</a>, the company’s proprietary high-dynamic audio sampling and synthesis system. A magnetic pick captures fingertip movements, which are processed through what the company describes as a tri-core heterogeneous computing architecture to deliver near-zero-latency feedback, meaning sound responds as soon as the pick strikes. A high-volume sampled audio engine restores harmonic overtones and resonance details, intended to preserve a sense of realism in synthesized tones. The dual-frequency speaker system includes a 10-watt mid-to-high frequency unit and a 15-watt bass unit, which the company says achieves Hi-Fi-level acoustic standards within a compact body. These technical claims are based on company descriptions.
whereRelatedArticle
From perception to computation to sound output, multiple layers of technical configuration operate behind the scenes. Yet when a user picks up the U1, there is no need to understand the parameters. The intended experience is immediate and intuitive: a playable sound without formal training.
Around the hardware, an ecosystem is taking shape. The U1 supports nearly 40 instrument tones, including piano, harp, and ukulele, enabling varied performance needs with one device. It integrates three drum machine modes, allowing a single user to approximate a band effect. The dedicated app hosts millions of user co-created scores, according to the company, and sing-and-play videos can be exported and shared with one tap. The newly launched U1 dock and U1 quick-release strap are designed to reduce setup time before playing.
The timing of the U1’s launch appears deliberate. As sheet music libraries, sound packs, and user communities accumulate around the same hardware, LiberLive’s positioning is shifting from supplying stringless guitars to offering a faster pathway to music expression.
By reframing music performance as an interactive, emotion-driven, real-time activity rather than solely a skill-based system, LiberLive is attempting to flatten the learning curve, starting with the guitar. The next instruments to be reimagined could include the piano, the drum kit, or other tools long associated with high learning costs.
The broader instrument market is also adjusting its value anchor. As hardware parameter competition approaches saturation, incremental users are shifting their decision criteria from technical performance to immediacy. Legacy brands such as Yamaha and Roland continue to emphasize narratives of long-standing craftsmanship. LiberLive is taking a different approach, focusing less on making instruments more technically sophisticated and more on moving them from the professional shelf into the everyday flow of ordinary life.
KrASIA features translated and adapted content that was originally published by 36Kr. This <a href="https://36kr.com/p/3681146132836226">article</a> was written by Huang Nan for 36Kr.

With the U1, LiberLive aims to address music instrument dropout

Music

… sentiment.
<h3>Micropolis secures additional robot orders after Saudi pilot</h3>
Micropolis Robotics completed a pilot deployment of security robots at an Aramco refinery and the Riyadh National Power Plant in cooperation with Saudi Arabia’s Ministry of Interior, according to <a href="https://www.investing.com/news/company-news/micropolis-completes-saudi-pilot-receives-order-for-270-more-robots-93CH-4481726">Investing.com</a>. The pilot validated the autonomous operation of its unmanned ground vehicles in high-security environments.
Following the pilot, the company received a letter of intent from QSS Robotics for an additional 270 robots, increasing its potential total order volume to 770 units. The Ministry of Interior is evaluating broader nationwide deployment, with the technology positioned to support Saudi Vision 2030.
<h3>CrowdStrike and Saudi Aramco advance cybersecurity cooperation</h3>
Cybersecurity firm CrowdStrike has signed a MoU with Saudi Aramco to expand cybersecurity capabilities in Saudi Arabia, <a href="https://www.investing.com/news/assorted/crowdstrike-signs-mou-with-aramco-for-saudi-cybersecurity-expansion-432SI-4487673">Investing.com</a> reported.
The collaboration will focus on long-term cybersecurity investment, protection of critical infrastructure, and the acceleration of AI-related initiatives. The parties are also exploring the establishment of a regional headquarters in Saudi Arabia and the deployment of local cloud capabilities, aligned with Saudi Vision 2030’s goals to enhance national cybersecurity and support AI-driven economic development.
<h3>Saudia in talks with Boeing and Airbus on aircraft order</h3>
Saudi Arabia’s national carrier Saudia is in preliminary talks with Boeing and Airbus regarding a potential purchase of at least 150 narrowbody and widebody aircraft, according to <a href="https://www.bloomberg.com/news/articles/2026-02-05/boeing-airbus-in-talks-with-saudi-arabia-for-historic-jet-order">Bloomberg</a>.
If finalized, the deal would represent the airline’s largest aircraft order to date. The procurement is intended to partially renew its fleet and expand overall capacity, supporting Saudi Arabia’s strategy to develop a global aviation and tourism hub. In recent years, Saudia has placed multiple large aircraft orders and implemented management restructuring, service upgrades, and technology enhancements as part of its transformation plan.
<h3>QIA renews commitment to fund-of-funds program</h3>
Mohammed bin Abdulrahman Al Thani, Qatar’s Prime Minister and minister of foreign affairs of Qatar, said Qatar Investment Authority (QIA) plans to expand its fund-of-funds program by USD 2 billion to further support startups and venture capital, according to <a href="https://www.agbi.com/entrepreneurs/2026/02/qia-ups-startup-backing-with-2bn-funding-pool/">AGBI</a>.
He added that Qatar will combine capital with technological capabilities, including dedicated computing resources for local startups. Data cited indicate that startup incentives in Qatar increased eightfold over the past year, with the number of registered startups doubling and applications exceeding 6,000.
<h3>QIA becomes founding investor in Hongkong Land’s Singapore fund</h3>
QIA has announced it is joining Hongkong Land’s first private real estate fund, the Singapore Core Private Real Estate Fund, as a founding investor.
Launched with assets under management of SGD 8.2 billion (USD 6.3 billion), the fund focuses on prime office-led commercial properties in Singapore’s central business district. Qatar Investment Authority said the investment reflects its long-term confidence in Singapore’s position as a global business hub.
<h3>Invest Qatar partners Doha Bank to support foreign investors</h3>
Invest Qatar signed a cooperation agreement with Doha Bank during Web Summit Qatar 2026 to improve market access for foreign investors and strengthen Qatar’s position as a global investment destination, <a href="https://www.gulf-times.com/article/719940/business/invest-qatar-doha-bank-partner-to-offer-tailored-financial-services-to-foreign-investors">Gulf Times</a> reported.
Under the agreement, both parties will provide “one-stop services” for foreign enterprises, including business matching, knowledge sharing, and corporate referrals.
<h3>WareOne launches logistics marketplace platform</h3>
Qatari startup WareOne has launched a digital logistics platform described as an “Airbnb-style” marketplace for logistics and warehousing space, according to <a href="https://www.gulf-times.com/article/719948/business/qatar-startup-delivers-30-savings-with-airbnb-for-warehouses">Gulf Times</a>.
The company said its pay-as-you-go model can reduce storage costs for small and medium enterprises by up to 30%. In the 11 months since launch, WareOne has expanded to 25 partners across Qatar, the UAE, Kuwait, and Bahrain, serving more than 40 customers.
<h3>Qatar signs multiyear cooperation agreement with TikTok</h3>
According to <a href="https://www.gulf-times.com/article/719930/qatar/state-of-qatars-government-communications-office-and-tiktok-sign-multi-year-mou-to-support-global-creative-excellence">Gulf Times</a>, Qatar’s Government Communications Office (GCO) signed a multiyear MoU with <a href="/company/tiktok">TikTok</a> during Web Summit Qatar 2026 to launch a three-year international creator support program.
Jassim bin Mansour bin Jabor Al Thani, a director at the office, said the partnership reflects a shared commitment to creating long-term value for content creators. He said Qatar is positioning Doha as a platform for creators to grow by offering space, infrastructure, and institutional support.
<h3>Qatar’s GCO signs MoU with AmCham Qatar</h3>
Qatar’s Government Communications Office also signed a MoU with the American Chamber of Commerce in Qatar during Web Summit Qatar 2026, <a href="https://thepeninsulaqatar.com/article/05/02/2026/gco-signs-mou-with-amcham-qatar">The Peninsula</a> reported.
The agreement is intended to attract more US startups, investors, and decision-makers to participate in the summit and to deepen bilateral cooperation in technology and innovation. The memorandum is part of a broader series of partnerships concluded during the event to strengthen international collaboration and support the continued development of Qatar’s.
This <a href="https://mp.weixin.qq.com/s/O2Di5s_njljyGUP3dv2v-g">article</a> was adapted based on a feature originally written and published by Al Shasia. KrASIA is authorized to translate, adapt, and publish its contents.

Middle East weekly: Baidu’s Apollo Go operates driverless fleet at WGS, QIA commits USD 2 billion to startups, Qatar signs agreement with TikTok, and more

Qatar

… million, compared to Thailand at USD 1.25 billion and Vietnam at USD 1.66 billion. Even tiny Singapore has a market size of about USD 290 million.
The contrast between the hype around the sector and its relatively slow growth has been reflected in the share price of Fore Kopi Indonesia, Fore's owner and the only listed company among the coffee chains. After listing on the Indonesia Stock Exchange last April at IDR 188 (USD 0.008) per share, it jumped 34% on its first day of trading and hit IDR 800 (USD 0.035) in June. But it has since fallen back to about IDR 530 (USD 0.023).
Hence, the search beyond Indonesia for new markets.
Kenangan has been in the vanguard of the overseas expansion. The chain debuted in India and Australia in 2025, adding to its presence in Singapore, Malaysia, and the Philippines. Tomoro has outlets in Singapore, China, and the Philippines, while Fore is in Singapore.
<figure id="attachment_159966" aria-describedby="caption-attachment-159966" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-159966" src="https://console.kr-asia.com/wp-content/uploads/2026/02/Fore-Coffee-Singapore-Bugis-Junction.jpg" alt="Photo shows Fore Coffee’s first outlet in Singapore, located at Bugis Junction in the city-state’s central district." width="1920" height="1080" srcset="https://console.kr-asia.com/wp-content/uploads/2026/02/Fore-Coffee-Singapore-Bugis-Junction.jpg 1920w, https://console.kr-asia.com/wp-content/uploads/2026/02/Fore-Coffee-Singapore-Bugis-Junction-720x405.jpg 720w, https://console.kr-asia.com/wp-content/uploads/2026/02/Fore-Coffee-Singapore-Bugis-Junction-1024x576.jpg 1024w, https://console.kr-asia.com/wp-content/uploads/2026/02/Fore-Coffee-Singapore-Bugis-Junction-768x432.jpg 768w, https://console.kr-asia.com/wp-content/uploads/2026/02/Fore-Coffee-Singapore-Bugis-Junction-1536x864.jpg 1536w, https://console.kr-asia.com/wp-content/uploads/2026/02/Fore-Coffee-Singapore-Bugis-Junction-480x270.jpg 480w" sizes="(max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-159966" class="wp-caption-text">Fore Coffee’s first outlet in Singapore, located at Bugis Junction in the city-state’s central district. Photo courtesy of Fore Coffee.</figcaption></figure>
As they expand outside Indonesia, brands have to deal with different consumer preferences. "Indonesians like sweet, milk-based iced coffee at affordable price points, while Singapore leans towards espresso and specialty coffee, alongside strong, sweet traditional 'kopitiam' coffee," said Behera, referring to traditional coffee shops in Malaysia and Singapore. "Balancing a recognizable signature with local preferences on dairy, sweetness, and price is a key challenge."
Indonesian chains also have to contend with global behemoths like Starbucks and China's <a href="/company/luckin-coffee">Luckin Coffee</a>, as well as country-specific brands, each with their own unique selling points. Luckin Coffee's app-driven kiosk-based operating model has let it keep prices low as it sweeps across Singapore, while local players like <a title="" href="https://asia.nikkei.com/business/food-beverage/malaysian-cafe-chain-zus-coffee-expands-reach-with-canned-drinks" target="_blank" rel="noopener">Zus Coffee</a> and Cafe Amazon are entrenched in Malaysia and Thailand, respectively, with significant store footprint and prices that are sometimes cheaper.
Kenangan Coffee's Tirtanata is not too concerned. "We have grown quite quickly across countries, not because we are the cheapest; often local competitors are cheaper than us. However, we have localized the offering and used technology to increase sales per store," he said, referring to the brand's app that reels in customers with loyalty points and promotions, and modern management systems. Even in mature coffee markets like Australia, he said there is room for a "playful" brand like Kenangan, catering to Asian tastes.
Operating models also need to be tweaked. In Indonesia, most chains are mall-centric and adopt the grab-and-go store format, but Tirtanata points out that in Malaysia, stores are generally larger at 55–75 square meters, necessitating sit-down experiences. "As we branch out into shophouses, it is counterproductive to be grab-and-go," he said, "so we need to adapt because the inventory of locations available does not always support an existing business model."
"Indonesian coffee brands might find it difficult to be profitable, given operational inefficiency and supply chain management as they expand overseas," cautioned Lim at Euromonitor, referring to the challenge of the high cost of rapid expansion and consistently delivering the same product in multiple foreign markets. Fore Coffee is profitable and Kenangan has said that it is profitable in Indonesia and at the group level, but Tirtanata agreed that any new international market is not usually profitable for the first two to three years.
Despite the slow domestic growth, brands believe the Indonesian cafe market is far from saturated. "We aim to launch 60–70 new Fore Coffee stores every year, with the main focus still on Indonesia, especially in tier-two and tier-three cities," Rachmattulah said.
Tirtanata has similar plans. "We will still be Indonesia-centric since our sales per store are growing well and we have room for adding new stores. We will open about 70 stores in Malaysia next year, but also 300-odd stores in Indonesia." He added that while the target is to open 3000 stores by 2028, he expects 70–75% of the group's revenues to come from Indonesia even then.
Along with new stores, brands are also expanding their offerings. Fore, for example, has launched Fore Donuts, a donut chain positioned as complementing their core coffee business.
Despite the slow domestic growth, Lim is bullish on Indonesian coffee chains' prospects. "Consumer reception has been strong due to the unique local taste and wide variety of coffee beans," he said. "The brands are launching continuous product innovation to target young consumers, and it will drive their popularity in local and international markets."
This article first appeared on <a href="https://asia.nikkei.com/spotlight/asean-money/indonesian-coffee-chains-brew-stronger-overseas-ambitions">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>.

Indonesian coffee chains brew stronger overseas ambitions

Retail

Consumer Economy

Indonesia

Coffee

… your dataset quality scores 60 out of 100, the generated data might only reach 55.”
With better models, automakers can simulate scenarios that are rare or difficult to capture in real life, producing synthetic training videos that speed up iteration. “The efficiency gains over traditional retraining are significant,” a supplier engineer said. “Model updates could accelerate by a full generation.”
Still, these benefits remain mostly theoretical. World models are a clear improvement over older simulators but remain far from perfect.
<h3>Algorithms not yet ready, and hallucinations persist</h3>
These are still early days. One automaker engineer told 36Kr that Chinese-made world models can currently generate 30–60 seconds of video at most. Yet object consistency remains weak, and maintaining spatiotemporal coherence across multiple views is difficult.
At their core, world models are generative systems, that means they could hallucinate. “The hardest challenge is ensuring generated content stays realistic,” a supplier product manager said. “If you generate a person, how do you ensure their movement follows real-world physics?”
When a simulator produces physically impossible scenes, downstream models can learn false correlations, degrading vehicle performance. For instance, if generated vehicles move sideways, the model might assume a car can instantly switch lanes, prompting real-world overreactions.
If a simulator cannot model causal relationships, such as how rain affects braking or how glare distorts sensor readings, its edge cases become fictional, and optimization efforts are wasted.
Some see the main constraint in data and computing power. But Xia Zhongpu, former head of Li Auto’s end-to-end driving development, sides with Yann LeCun: the real limitation is algorithmic. In vision, self-supervised learning has yet to mature as smoothly as in language.
Language models scale rapidly because text carries dense semantic meaning; each word encodes information. Visual data is far sparser. For driving, only a small fraction of pixels influence decisions. “Today’s algorithms can’t yet extract enough decision-relevant information from images,” Xia said. “A picture has millions of pixels, but maybe a few dozen matter for driving.”
Without breakthroughs in world model algorithms, debates about data sufficiency or compute capacity are secondary. Because the underlying technology remains experimental, automakers’ investments are still exploratory. Even some executives admit uncertainty about the next step.
If world models eventually become powerful enough, and hardware catches up, they could, in theory, run directly on vehicles. For now, though, Chinese automakers treat them mainly as simulation tools. Their real-time decision-making capabilities remain limited.
That explains the current disconnect: everyone talks about world models, but users notice little difference. Most systems still live in the cloud, serving as training supervisors rather than on-road decision-makers.
“Deploying a world model on the end side is the hardest part,” Xia said.
So far, no company has applied a world model directly to vehicles. Xia added that if large models can eventually capture the physical world, predict its evolution, and influence it beneficially, not only autonomous driving but robotics as a whole could be transformed.
For now, however, the world model remains more teacher than driver, waiting in the cloud for its turn behind the wheel.
KrASIA Connection features translated and adapted content that was originally published by 36Kr. This <a href="https://36kr.com/p/3668863813559170">article</a> was written by Xiao Man for 36Kr.

What exactly is a “world model” in smart driving?

Autonomous Vehicles