Day: September 30, 2026

For companies selling, hiring or operating across multiple countries, the promise of going global often runs into a very old problem: banking still behaves as if borders are hard walls. Opening local accounts can require entities, paperwork and long waits. Payments move through correspondent banks. Foreign exchange fees are not always clear. Finance teams end up stitching together banks, payment providers, cards, spreadsheets and treasury tools just to keep money moving.

Limited, a San Francisco-based fintech startup founded in 2024, is trying to simplify that stack. The company has grown its seed round to US$18.5 million less than ten months after launch, after existing investor Third Prime preempted the round. Singapore-based 1982 Ventures participated through 1982 Ventures Fund II, joining new backers ParaFi Capital, Pharsalus Capital, Digital Currency Group and Onigiri Capital.

Also Read: Nium acquires Cypher as fiat and stablecoin payments converge

Existing investors North Island Ventures, which led Limited’s original seed round, The House Fund and Collab+Currency also returned. Early backers Arche Capital and SevenX Ventures remain on board.

Limited offers what it describes as a global business account for multinational companies. Its platform provides business accounts across the US, EU, UK, Latin America and Africa, and supports payments to more than 170 countries. It also offers local-currency payouts in more than 60 currencies, corporate cards, spend controls, accounting integrations and stablecoin rails for real-time transfers.

The company is not a ban but a fintech building the layer that helps businesses access accounts, move money and manage spending across jurisdictions.

“Customer demand pulled this round forward,” said Hussein Ahmed, founder and CEO of Limited. “We are a lean team with strong revenue growth, so this capital is about accelerating what is already working: senior hires across go-to-market, operations and compliance, more local corridors, and deeper treasury features for larger, multi-entity companies.”

The cross-border finance gap

Limited’s pitch is straightforward: international companies still face a fragmented financial system. A business operating across Mexico, Dubai and Hong Kong, for example, may need to work with local banks in each market, manage slow wire transfers, absorb unclear foreign exchange spreads and reconcile multiple systems.

That problem is familiar in Southeast Asia. Startups in Singapore, Indonesia, Vietnam, the Philippines and Malaysia often expand regionally earlier than their US or European peers because home markets can be smaller or more fragmented. Even before they become large enterprises, many need to pay overseas suppliers, receive revenue from foreign customers, manage remote teams and move capital between entities.

Also Read: Circle to acquire Tazapay for US$400M as USDC push moves into cross-border payments

The challenge becomes sharper for companies with ambitions beyond the region. A Singapore-headquartered startup selling into the US, hiring in Latin America and sourcing from China may quickly outgrow a domestic business bank account. Traditional banks can serve these needs, but onboarding, compliance checks and account opening across markets can be slow. Newer fintech platforms are trying to win customers by collapsing that complexity into one interface.

This is where Limited wants to compete. Its model combines local accounts, cross-border payments, corporate cards and spend management, while also using stablecoin rails for faster transfers. Stablecoins are digital tokens designed to track the value of fiat currencies such as the US dollar. In business payments, advocates argue that they can reduce settlement times, especially where traditional banking rails are slow or expensive. The trade-off is that companies still need to manage regulatory, compliance and counterparty risks carefully.

Why 1982 Ventures is backing the company

For 1982 Ventures, the investment fits its focus on fintech infrastructure and financial services businesses that can scale across markets. The Singapore-based fund manager has backed Limited through its second fund, placing a Southeast Asian investor on the cap table of a US-headquartered company aiming at a global customer base.

“Hussein is a proven founder who has done this before, and it shows,” said Herston Powers, Founding Managing Partner at 1982 Ventures. “In under ten months, Limited has built business accounts across five regions and payments to 170-plus countries on a very lean team.”

Scott Krivokopich, Founding Managing Partner at 1982 Ventures, added that cross-border money movement remains “stitched together from wires, local banks and FX providers”, and that Limited is trying to put those functions into one account.

The emphasis on founder experience is notable. In fintech, especially in cross-border payments, execution is not only about product design. It also depends on licensing strategy, banking partnerships, compliance processes, transaction monitoring, fraud controls and the ability to support customers across time zones. Scaling too quickly without the right controls can create regulatory and operational risks.

Limited said the fresh capital will go towards senior hires across go-to-market, operations and compliance. It also plans to add more local corridors across Latin America, Asia Pacific and the Middle East and North Africa, and build deeper treasury features for larger companies with multiple entities.

Rivals in a crowded global fintech category

Limited is entering a competitive market with both global and regional rivals. Airwallex, founded in Australia and now a major player in Asia Pacific, offers multi-currency accounts, cards and international payments for businesses. Wise Platform and Wise Business are widely used for cross-border transfers and multi-currency accounts. Revolut Business targets companies with accounts, cards and foreign exchange tools, while Payoneer serves many exporters, marketplaces and digital businesses.

Also Read: SBI joins dtcpay’s US$25M round to bridge Japan, SEA stablecoin corridors

In Southeast Asia, Aspire has built a regional business finance platform for startups and SMEs, while Singapore’s Thunes focuses on cross-border payment infrastructure. Limited’s differentiation will depend on how well it can combine global account access, stablecoin-enabled settlement, compliance and treasury tools in a way that is reliable enough for larger multinational customers.

A broader shift in business banking

The round also points to a broader movement in fintech. The first wave of neobanks focused heavily on consumers and small businesses. The next opportunity may sit in the messy financial operations of companies that are global by default.

Remote work, cross-border commerce, global supply chains and digital services have changed how companies operate. A startup can be incorporated in one country, sell into another, hire developers in a third and raise money from investors in a fourth. But the banking infrastructure supporting that company often remains local, manual and slow.

For Southeast Asian founders, this is not an abstract issue. Regional expansion usually means navigating different currencies, regulators, banking norms and payment preferences. A company moving from Singapore into Indonesia, Thailand or the Philippines may need different local partners and workflows in each market. If it expands further into the US, Europe or the Middle East, complexity multiplies.

That makes cross-border finance infrastructure an attractive investment theme, even in a tougher funding environment. Investors have become more selective, but they continue to back fintech companies that solve clear operational problems and can show revenue traction.

Limited has not disclosed customer numbers, revenue figures or valuation. That leaves open the usual questions around early-stage fintech businesses: how defensible the product is, how expensive compliance will become, and whether it can scale without taking on too much operational risk.

Also Read: The end of manual finance? AI agents are coming for startup payments

For now, the company has secured a sizeable Seed round and a group of investors who believe the pain point is large enough to support a global business. The next test is whether Limited can move beyond early demand and become a trusted financial operating layer for companies that no longer fit neatly inside one country’s banking system.

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Samsung Electro-Mechanics is making its largest single-product investment to date, committing US$4.9 billion to expand production of chip-packaging substrates in South Korea and Vietnam as the artificial intelligence boom reshapes demand across the semiconductor supply chain.

In two filings with the Korea Exchange dated September 28, the Samsung Electronics affiliate said it will spend about US$3.1 billion in South Korea and around US$1.8 billion in Vietnam to increase capacity for package substrates, the high-performance boards that connect advanced chips to the wider electronic systems around them.

Also Read: A*STAR and EDB unveil SG Semiconductor as partnerships target AI-era chis

The larger portion will go into new production lines at Samsung Electro-Mechanics’s Sejong plant in central South Korea, where the company will make flip-chip ball grid array substrates, commonly known as FC-BGA. These substrates are used in high-density semiconductor packages for AI accelerators, server processors and other advanced computing chips.

Construction of the South Korean expansion is expected to run until May 2028, with mass production scheduled to begin in September 2028. Separately, Samsung Electro-Mechanics’ Vietnamese subsidiary will expand its package-substrate plant in Vietnam by the end of April 2028.

The investment is sizeable even for a Samsung group company. Samsung Electro-Mechanics said the commitment is equivalent to about 44 per cent of its consolidated equity at the end of 2025, underlining how central advanced package substrates have become to its long-term strategy.

Why packaging now matters more

For years, the most visible part of the semiconductor race centred on smaller transistor sizes and more advanced chip fabrication. That remains important, but AI has pushed another part of the industry into the spotlight: packaging.

As AI models become larger and more computationally demanding, chipmakers need processors that can move huge volumes of data quickly and efficiently. That depends not only on the chip itself, but also on the substrate and package architecture that connect processors, memory and other components.

FC-BGA substrates are especially important for high-performance chips because they allow dense electrical connections, better signal performance and improved heat management. In simple terms, they are the foundation that lets powerful chips communicate with the rest of the system without bottlenecks.

Demand is being driven by AI accelerators used in data centres, as well as high-end server central processing units and graphics processing units. The rise of generative AI has led cloud providers and technology companies to spend heavily on computing infrastructure, creating pressure across the semiconductor value chain, from foundries and memory suppliers to equipment makers and packaging specialists.

Samsung Electro-Mechanics is trying to position itself in that chain. The company already makes electronic components including multilayer ceramic capacitors, camera modules and semiconductor package substrates. With this investment, it is making a clearer bet that AI-related packaging will be one of its main growth engines over the next decade.

Vietnam’s role in the semiconductor supply chain

The Vietnam portion of the investment is particularly relevant for Southeast Asia. Samsung Electro-Mechanics has been building up package-substrate production in Vietnam since 2021, adding to Samsung’s broader manufacturing footprint in the country.

Also Read: Thailand targets US$80B semiconductor push as it moves beyond assembly

Vietnam has become one of Southeast Asia’s most important electronics production hubs, helped by its labour force, export-oriented industrial zones and deepening role in global supply chains. Samsung is already one of the country’s largest foreign investors, with major smartphone and electronics operations there. A larger package-substrate plant adds another layer to that relationship, moving Vietnam further into higher-value electronics manufacturing.

For Southeast Asia, the significance goes beyond one factory. Governments across the region are trying to attract more semiconductor and advanced manufacturing investment as companies diversify supply chains beyond China and seek resilience after pandemic-era disruptions. Malaysia has long been strong in chip assembly and testing, Singapore remains a key node for semiconductor equipment and manufacturing, and Vietnam is trying to climb from electronics assembly into more specialised semiconductor-related production.

Samsung Electro-Mechanics’s expansion does not turn Vietnam into an AI chipmaking hub overnight. Substrates are only one part of a complex industry that includes wafer fabrication, advanced packaging, memory, equipment, chemicals and design. But the investment strengthens Vietnam’s claim as a serious electronics manufacturing base at a time when AI hardware demand is redrawing global supply chains.

It may also deepen the supplier ecosystem around Samsung’s Vietnamese operations. Large anchor investments often attract materials providers, logistics firms, automation specialists and component suppliers. For local companies, the challenge will be moving beyond basic support services into higher-specification manufacturing and engineering work.

Korea keeps the most advanced lines at home

While Vietnam gets a major expansion, the larger investment remains in South Korea. That is not surprising. Advanced substrate production requires precision manufacturing, tight process control and close coordination with customers building cutting-edge processors.

Also Read: Malaysia’s chip suppliers face rising pressure to prove cyber resilience

South Korea’s semiconductor ecosystem gives Samsung Electro-Mechanics access to engineering talent, materials suppliers and proximity to Samsung Electronics, one of the world’s biggest chip and electronics companies. Keeping the largest FC-BGA push in Sejong also reflects a broader pattern in the chip industry: companies may internationalise parts of production, but the most sensitive or technically demanding capacity often stays close to home.

The investment also lands amid intense competition among governments to secure advanced semiconductor supply chains. The US, Japan, South Korea, Taiwan and the EU have all pushed policies to support domestic chip capabilities. For Korea, expanding advanced materials and packaging capacity is important because its semiconductor strength has traditionally been associated with memory chips and manufacturing scale. AI has made the wider supply chain more strategically important.

Rivals are also chasing the AI packaging boom

Samsung Electro-Mechanics is not alone in chasing this market. Japan’s Ibiden and Shinko Electric Industries are major suppliers of high-end package substrates and have benefited from demand linked to advanced processors. Taiwan’s Unimicron and Nan Ya PCB are also significant players in IC substrates, while Austria-headquartered AT&S has invested heavily in high-end substrates used in servers and data centres. In South Korea, LG Innotek and Daeduck Electronics also operate in related substrate segments.

The competitive question is whether Samsung Electro-Mechanics can scale capacity while meeting the exacting quality requirements of AI chip customers, where yields, reliability and long qualification cycles matter as much as headline investment size.

A long-term bet, not a quick AI trade

The timeline shows this is not an immediate revenue boost. Construction and expansion will run through 2028, meaning Samsung Electro-Mechanics is betting that demand for AI processors and server infrastructure will remain strong well beyond the current investment cycle.

That is a reasonable but not risk-free assumption. AI infrastructure spending has surged, led by hyperscale cloud providers and large technology companies. Yet semiconductor cycles can turn quickly if customers overbuild capacity, delay data-centre projects or shift architectures. Package substrates also require significant upfront capital, and returns depend on securing long-term orders from major chip customers.

Also Read: Southeast Asia’s chip-hub ambition is colliding with its chip-smuggling problem

Still, Samsung Electro-Mechanics’ move highlights a crucial point about the AI economy: the winners will not only be model developers or chip designers. Much of the value will sit in the less visible infrastructure that makes AI computing possible — substrates, memory, power components, cooling, testing and manufacturing equipment.

For Vietnam and Southeast Asia, the investment is another sign that the region is becoming more embedded in the hardware supply chain behind AI. For Samsung Electro-Mechanics, it is a high-stakes attempt to capture a deeper role in the next phase of semiconductor growth.

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Artificial intelligence is moving deeper into asset management, but not only through chatbots, research summaries or back-office automation. The bigger question is whether AI can help investment firms do what has become increasingly difficult in public markets: find differentiated returns at scale.

Blue Fire AI, a technology company focused on AI-driven investment management, is making that bet in Japan through a strategic commercial agreement with Mizuho Financial Group and Asset Management One (AM-One).

As part of the collaboration, AM-One will take a minority equity stake in Blue Fire AI, closing the company’s latest funding round with US$9 million in aggregate commitments.

Also Read: Why Japan’s booming AI market is harder to crack than it looks

The deal links Blue Fire AI with one of Japan’s largest financial groups and an asset manager with more than US$500 billion in assets under management. AM-One plans to offer new equity investment products powered by Blue Fire AI’s proprietary neuro-symbolic AI decision engine to institutional and retail clients in Japan.

The companies did not disclose the size of AM-One’s stake or Blue Fire AI’s valuation.

For Blue Fire AI, the partnership provides a route into one of the world’s largest pools of managed capital. For Mizuho and AM-One, it is a move to strengthen active management at a time when the industry is under pressure from passive investing, lower fees and growing scepticism over whether traditional stock-picking can consistently outperform benchmarks.

Why AI matters in active management

Active fund managers have always sold judgement: the ability to analyse companies, understand markets and identify mispriced securities before others do. The problem is that markets have become faster, information is more abundant, and many strategies that once produced excess returns have become crowded.

This has pushed asset managers to look for structural advantages. Scale helps. Proprietary data helps. So does technology that can process more information than human teams can handle on their own.

Blue Fire AI says its system enables portfolio managers to perform bottom-up fundamental analysis at scale, identify overvalued securities and generate repeatable investment insights. Bottom-up analysis refers to studying individual companies — their financials, competitive position, valuation and prospects — rather than simply making top-down calls on sectors or economies.

Also Read: AI governance is moving from promises to proof

The company describes its technology as a neuro-symbolic AI decision engine. In simple terms, neuro-symbolic AI combines the pattern recognition associated with machine learning and neural networks with more structured reasoning systems. In investment management, the appeal is that such systems may be able to analyse large volumes of data while still offering a more explainable framework than purely black-box models.

That explainability matters. Institutional investors, regulators and investment committees are unlikely to be comfortable with strategies that cannot be interrogated. Asset managers using AI need to show not only that a model works, but also why it reaches certain conclusions, how risks are controlled and how decisions fit within fiduciary responsibilities.

Blue Fire AI says it has spent ten years developing its technology and has a seven-year live investment track record. That history is important in an industry where many AI claims remain untested across cycles.

Japan’s asset management opening

The partnership comes at a significant moment for Japan’s financial industry. The country has been trying to make better use of household savings, encourage investment and strengthen Tokyo’s role as a global financial centre. Policy changes such as the expansion of Nippon Individual Savings Accounts have helped push more retail money into markets, while corporate governance reforms have drawn renewed foreign investor interest in Japanese equities.

At the same time, Japan’s asset managers face the same pressures seen globally. Passive funds and exchange-traded funds have reduced fees across the industry. Large global firms have used scale to compete aggressively. Retail and institutional clients are asking harder questions about performance, cost and differentiation.

AM-One, established in 2016 and backed by major Japanese financial institutions, sits at the centre of this shift. With approximately JPY80 trillion (more than US$500 billion) in assets under management across institutional and retail businesses as of December 31, 2025, it has the distribution reach to bring AI-enhanced investment products to a broad client base.

Noriyuki Sugihara, President and CEO of AM-One, said the firm plans to use Blue Fire AI’s capabilities to enhance its investment solutions and make them available through AM-One’s product platform.

“This partnership reflects a shared conviction that the next era of active management will be built by firms willing to combine deep institutional expertise with genuinely differentiated technology,” said Luke Waddington, CEO of Blue Fire AI.

Why Southeast Asia should watch

Although the deal is centred on Japan, it carries lessons for Southeast Asia’s financial ecosystem. Singapore, in particular, has built itself into a regional wealth and asset management hub, with global managers, family offices, private banks and fintech companies using the city-state as a base for Asia.

Also Read: Japan is moving into Southeast Asia faster than the West, and most brands haven’t noticed yet

Across Southeast Asia, asset managers are also facing fee pressure, rising client expectations and the need to offer more sophisticated products. Markets such as Singapore, Malaysia, Thailand and Indonesia have growing pools of retail investors, pension money and institutional capital, but local managers often compete against global firms with deeper research budgets and technology platforms.

AI could narrow some of that gap if applied carefully. A regional manager covering hundreds of listed companies across Southeast Asia may not have the same analyst headcount as a global asset manager. Tools that scale fundamental research, flag valuation anomalies and organise company-level data could become useful, especially in less-covered markets where information is fragmented.

But the Japan example also shows that distribution and trust remain critical. Blue Fire AI is not entering the market alone; it is partnering with Mizuho and AM-One, institutions with established client relationships and regulatory credibility. Southeast Asian AI-fintech startups aiming to sell into asset management may need similar partnerships with banks, brokerages, insurers or licensed fund managers rather than trying to bypass the existing system entirely.

Rivals in AI investing

Blue Fire AI operates in a growing field of investment technology companies applying AI and data science to portfolio management. Global players such as BlackRock have long used technology platforms, including Aladdin, to support risk and portfolio analytics. Firms such as Two Sigma and AQR have built quantitative investment businesses around data, models and systematic decision-making, though they are not direct product equivalents.

In the AI investment tools market, companies including Boosted.ai, Auquan and Toggle AI provide machine learning-driven research and analytics for investment professionals. In Asia, South Korea’s Qraft Technologies has developed AI-powered investment strategies and exchange-traded funds. Blue Fire AI’s challenge will be to prove that its neuro-symbolic approach can translate into durable performance inside large institutional product platforms.

The next test: performance and governance

The promise of AI in active management is compelling, but the bar is high. Investment products are ultimately judged by performance, risk management, transparency and client outcomes. A model that works in one market regime may struggle in another. Data quality can vary. AI systems can overfit, meaning they appear powerful in historical testing but fail in live markets.

Also Read: StashAway acquires MakeGoodwill to add digital wills to its wealth platform

There are also governance questions. Asset managers must decide how much authority to give AI systems, how human portfolio managers should use model outputs, and how to explain decisions to clients and regulators. For retail investors, the language around AI can easily become marketing unless firms are clear about what the technology does and does not do.

That may be why the partnership between Blue Fire AI and AM-One is framed around combining institutional expertise with differentiated technology, rather than replacing human managers outright. The more realistic future of AI in asset management is not fully autonomous investing, but augmented investment teams that can examine more companies, test more ideas and respond faster to changing market conditions.

Further details of the collaboration are expected later. For now, the agreement gives Blue Fire AI a powerful Japanese partner, gives AM-One a stake in an emerging investment technology platform, and signals that the next fight in active management may be as much about data and AI infrastructure as it is about traditional investment judgement.

The post Blue Fire AI closes US$9M round with AM-One stake under Mizuho partnership appeared first on e27.

Anthropic has told prospective investors that it is growing at a pace few companies have matched, losing money at a scale few could survive, and building a product that could pose an existential threat to humanity. The prospectus behind what could become the largest IPO on record shows revenue rising twelvefold to nearly US$4.6 billion in 2025, while an operating loss topped US$8 billion as operating expenses approached US$13 billion.

The trajectory has steepened since: second-quarter 2026 revenue reached US$11.5 billion, and the company is on course for a second consecutive quarter of adjusted operating profit. Backers believe it could list above US$2 trillion, more than twice its US$965 billion May valuation.

The filing details plans to spend US$518 billion on cloud, compute and infrastructure, and flags that two customers generated nearly a quarter of last year’s revenue. Close to a third of the document covers risk factors, including model behaviour such as resisting shutdown, manipulating information and conduct resembling blackmail.

For Southeast Asian founders and investors, the listing will set a public benchmark for frontier-AI valuations and compute economics, and a reminder that the companies supplying the region’s AI stack now describe safety as a material business risk.

REGIONAL

GoTo shares drop 14% after Indonesia scraps price floor: Indonesia’s decision to remove the stock price floor triggered an immediate sell-off in GoTo, one of the country’s most closely watched listed tech companies, raising fresh concerns about retail investor protections.

Governance gaps slowing cloud and regtech adoption: KPMG: A KPMG Singapore report finds that unclear internal accountability and weak data governance frameworks are the primary barriers preventing financial institutions across the region from scaling cloud and regtech solutions.

IFC takes US$20M stake in Axiata-backed Boost to scale digital lending: The World Bank Group’s private-sector arm brings development-finance discipline to a Malaysian fintech tied to Boost Bank, Axiata’s venture with RHB, as regulators scrutinise how lenders underwrite thin-file SMEs.

VinFast folds R&D spin-off back in, lifting charter capital to US$8.2B: Manufacturing arm VFTP will absorb Tuong Lai‘s assets and debts, a year after the 2025 carve-out moved factories and liabilities off the Nasdaq-listed carmaker’s books. VinFast took 42% of Vietnam’s August car sales.

Temasek buys 9% of Italy’s FSI in push for European mid-market deals: The stake sits in the US$5.7B manager’s management company, alongside commitments to future funds, as Temasek aims to deploy US$15.9B-19.3B across EMEA by 2029 after investing US$14.8B in two years.

Igloo cuts net loss 60% as revenue climbs 46% with costs held flat: The Singapore embedded-insurance platform posted SGD80.9M (US$63M) in FY2025 revenue and a US$6.7M loss, and targets adjusted EBITDA breakeven by end-2026, though it has not disclosed margins, cash or claims ratios.

1982 Ventures joins Limited’s US$18.5M seed for cross-border banking: Third Prime pre-empted the round for the San Francisco fintech, which offers business accounts across five regions, payouts in 60-plus currencies and stablecoin rails; it will add corridors in Asia Pacific and the Middle East.

Japan’s Kawaijuku backs Do Ventures Fund II for Vietnam education push: The Tokyo education group’s undisclosed commitment gives it a window on Vietnamese startups for future partnerships and direct deals; the Ho Chi Minh City VC’s first fund targeted US$50M with NAVER, Sea and Vertex backing.

Antom reshuffles SEA leadership to knit 2C2P and DOKU into one stack: Ant International’s merchant-payments unit named DOKU co-founder Nabilah Alsagoff regional product head, ex-DOKU CEO Chris Yeo Philippines head and Himelda Renuat DOKU CEO, pursuing a unified product roadmap across its regional brands.

INTERVIEWS AND FEATURES

Korea’s Autonomous A2Z bets on fixed-route shuttles, not robotaxis: The full-stack Level 4 developer, first Korean firm to clear Singapore LTA’s Milestone 1, ran a Grab staff shuttle pilot and signed a US$6.8M UAE supply deal; its CSO explains why localisation is the hard part.

INTERNATIONAL

Peak XV lifts Surge seed cheques to US$5M as the Series A bar rises: The firm put over US$50M into its 18-startup Surge 12 cohort; 13 target global markets though more than half are India-based, and Rajan Anandan says deeptech founders are raising bigger seed rounds.

Meta launches enterprise AI unit, poaches MongoDB CEO CJ Desai to lead: Meta Enterprise Platform will sell Muse, Meta Business Agent, Muse API and Muse Code to companies, a bid to monetise heavy AI spending; MongoDB shares fell over 17% on the abrupt exit.

Blue Fire AI closes US$9M round as AM-One takes stake in Mizuho tie-up: AM-One, which manages over US$500B, will offer equity products built on the startup’s neuro-symbolic decision engine in Japan, a partnership model Southeast Asian AI-fintechs selling into asset management may need to copy.

TikTok settles Alabama addiction case for at least US$100M: The payout could reach US$300M under certain conditions, and TikTok will impose a two-hour daily limit for minors plus overnight and filter curbs, weeks after a US$400M child-privacy settlement with the DOJ.

CYBERSECURITY

OpenAI’s misalignment log reveals a DNS sandbox escape and AI ‘worms’: The new site lists nine incidents, including a model that smuggled a GitHub token and self-replicating prompt injections; Axios reports major labs have logged up to 10,000 cases of models exceeding evaluator instructions.

Truecaller opens web Scam Checker, with Southeast Asia on its roadmap: The free tool needs no sign-in and checks numbers, links and messages against community reports and risk data, launching in India first as telcos, Apple and Google chip away at its caller-ID business.

FBI tells staff ShinyHunters breach exposed their personal data: The group exploited an Oracle PeopleSoft flaw behind the FBIJobs.gov portal, reportedly taking medical and psychiatric records too; a Lawfare analyst calls it a counterintelligence disaster exposing personnel to foreign profiling.

SEMICONDUCTOR

VSMC opens US$7.8B Singapore fab in record time for specialty chips: The Vanguard-NXP venture’s Tampines plant will make 44,000 wafers a month on 40-130nm nodes by 2029 for automotive and industrial uses, creating about 1,600 jobs, three-quarters of them professional or technical.

Samsung Electro-Mechanics steers US$1.8B of AI chip bet to Vietnam: The US$4.9B plan, its largest single-product investment and 44% of its equity, keeps advanced FC-BGA lines in Sejong, Korea, while expanding the Vietnam substrate plant by April 2028 as AI accelerators drive packaging demand.

Thailand approves US$80B chip strategy with an 86,600-worker target: The three-phase plan bets on photonics, power chips and sensors, yet the headline figure rose over US$6B since January without a new fab; BOI applications worth US$27.2B are pledges, not capital spent.

Singapore brands its chip sector SG Semiconductor, backed by US$626M: A*STAR and EDB launched the national identity with partnerships spanning Applied Materials, KLA, STATS ChipPAC and GlobalFoundries in packaging, photonics and yield; the test is whether R&D turns into manufacturable technology.

AI

AMD buys Fei-Fei Li’s World Labs for US$8.2B to bet on physical AI: The spatial-intelligence lab builds models that generate and simulate 3D worlds for robotics; Li becomes AMD’s chief scientist reporting to Lisa Su, giving the chipmaker in-house insight into next-generation AI workloads.

OpenAI shelves Astra 6.1 after model shows higher levels of deception: Safety chief Saachi Jain told the WSJ it tested poorly on alignment; critics argue the industry’s safety push may also entrench frontier labs at the expense of smaller rivals.

Nvidia pitches hardware guardrails to keep rogue AI agents in the box: Its Open Agent Safety Platform pairs OpenShell software with Sentry, a monitor on BlueField-4 chips that quarantines escaping agents; Anthropic and Microsoft signed on, OpenAI did not, and Nvidia opposes a development slowdown.

Ropedia opens its physical-AI data kit to university researchers: The NTU spin-off’s head-mounted HOMIE Gen2 records video, motion and depth as people handle objects for robotics and world-model research; its academic network includes Princeton and Carnegie Mellon.

THOUGHT LEADERSHIP

AI safety is shifting from tech policy to national security: Shawn Balakrishnan reads UK calls to ban superintelligence, and Amodei, Altman and Musk backing a slower frontier, as signs of looming capability-based rules; Singapore’s AI assurance work could help shape verification standards.

SIA runs 160 AI apps; the harder question is what they may do: John Tan urges airlines to govern the point where AI recommendations become transactions, via authority registers, human checkpoints and tamper-evident logs, while keeping safety-critical systems under statutory oversight.

Meta’s Muse agent threatens brands built on reach and habit: SOMIN’s Aleks Farseev argues AI agents pick the brand that plainly answers a stated need, leaving a sponsored slot beneath; WhatsApp-heavy Southeast Asia, used to delegating via super-apps, may feel it first.

Singapore funds scale-ups with substance, not company registrations: Gerald Yap says foreign founders should pick their Singapore strategy before the grant, noting EDB’s RIS(C) and Refundable Investment Credit reward R&D and hiring, while EnterpriseSG schemes need 30% local ownership.

Your startup’s rival for VC money may be the fund’s own portfolio: Jun Yan notes only four SEA-focused VC funds closed in 2025, down from 33 in 2023, so managers weigh each new cheque against follow-on reserves for companies they already own.

SEA’s next unicorn may be a one-person company, not the next Grab: Astrid Dang argues AI agents let lean teams in Vietnam, Indonesia and the Philippines build products once reserved for well-funded Silicon Valley firms, as investors swap scale metrics for revenue per employee.

Past 1.5°C, Southeast Asian firms must fund adaptation, not pledges: Adam Goulston cites SM Investments’ climate-driven data-centre exit and ACEN’s early coal retirement to argue verifiable capital spending, not net-zero banners, separates real ESG from theatre; resilient infrastructure returns about US$4 per dollar.

Bitget hack and 5% yields put Bitcoin’s US$82,000 support to the test: Anndy Lian links the selloff to a US$387.5M exchange theft possibly tied to Lazarus and a US$120M long liquidation wave; a daily close below US$82,000 could open a slide to US$77,000.

Bitcoin dominance at 58.5% keeps a full altseason on hold: With ETF inflows of up to US$3B pulling capital into Bitcoin first, Anndy Lian says the Altcoin Season Index at 57-70 signals selective rotation; he wants dominance below 55% and the index above 75.

Why credential-free outsiders may win in signal intelligence: Faheem Aizat Kamsan profiles a Singaporean paramedic building a timestamped, proof-logged signal platform for retail users, arguing institutions’ real moat was timing and that it is eroding.

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A founder pitched me earlier this year on his semiconductor company. The deck was clean. The market was real. The technology was genuinely differentiated. The Singapore entity was properly incorporated, the cap table looked orderly, and the revenue was growing.

Then I asked him three questions.

Where does your intellectual property legally sit? Who owns the entity that owns it? And if I wire money into your Singapore company tomorrow, what exactly am I buying?

He could not answer any of them cleanly. The IP sat in China. The Singapore entity he was raising on owned almost nothing of substance. The structure he was pitching and the business he was running were two different things, connected mostly by hope.

The raise was over before it started. Not because the company was bad. Because he had prepared the wrong story.

Founders prepare the product story. Investors underwrite the structure story

Most founders raising across borders spend their preparation time on the things they can see: the product, the traction, the market size, the team slide. These matter. But they are not where a cross-border raise actually succeeds or fails.

A domestic investor and a cross-border investor are not doing the same job. A domestic investor backing a Singapore company operating in Singapore can largely take the entity at face value. The company is incorporated where it operates, the revenue is earned where it is booked, the assets sit where the company sits. The investor underwrites the business.

A cross-border investor cannot do that. When the founder is in one jurisdiction, the IP in another, the revenue booked in a third, and the holding company in a fourth, the investor is no longer underwriting the business. They are underwriting the structure. And if the structure does not hold up to scrutiny, the quality of the underlying business becomes irrelevant, because the investor cannot safely own a piece of it.

This is the single most common reason promising Southeast Asian companies fail to close cross-border rounds. Not weak fundamentals. Unprepared structure.

The environment has made this sharper. The eFishery accounting fraud reset diligence standards across the region. Beijing’s unwinding of a two-billion-dollar acquisition of a Chinese-founded, Singapore-headquartered AI company put every cross-border structure under brighter light. Investors who two years ago might have taken a Singapore wrapper at face value now open it and look inside. Founders who have not looked inside it themselves get caught.

Also Read: AI agents could help Southeast Asian firms untangle cross-border payment costs

The questions to be able to answer before you pitch

If you are raising from an investor outside your home jurisdiction, you should be able to answer each of these without hesitation, with documents to back them.

• Where does your IP legally sit, and who owns it?

If your patents, code, or core technology are held by an entity other than the one you are raising on, the investor is buying a company that does not own its own product. This is fixable, but only before the raise, not during diligence.

• Can an investor independently verify your overseas revenue?

Revenue that flows through entities or jurisdictions an investor cannot diligence is revenue an investor will discount to zero. If a meaningful share of your traction sits in a market where contracts, banking, and customers cannot be verified, prepare to prove it or prepare to lose credit for it.

• Who really owns what across your cap table and holding structure?

Layered holding companies, nominee arrangements, and undocumented founder agreements are not red flags because they are illegal. They are red flags because they signal the founder either does not understand their own structure or is hoping the investor will not ask. Both end the conversation.

• Are your intercompany flows arm’s length?

If money moves between your entities in ways that inflate revenue, shift costs, or would not survive a transfer-pricing review, an investor’s lawyers will find it. Find it first.

• What happens to your structure if regulators act?

If a regulator in any jurisdiction you touch changed its stance tomorrow, what happens to your ownership, your IP, and your ability to operate? If you have never asked this question, you are not ready to raise across borders.

None of these are product questions. All of them are structure questions. And the founders who close cross-border rounds are the ones who have answered them before the investor asks.

What this looks like from the other side of the table

For the investors reading this, the same checklist is the discrimination that separates a real cross-border thesis from a hopeful one.

Underwriting a cross-border deal is not about liking the product. It is about being able to answer one question for your own LPs: what, precisely, am I buying, and can I defend my ownership of it if scrutiny comes? A founder who can walk you through their IP ownership, their verifiable revenue, their clean structure, and their regulatory exposure is not just better prepared. They are demonstrating the exact discipline that predicts whether the company can be owned, scaled, and eventually exited across borders.

Also Read: How a cross-border tech team built a fintech MVP in 3 months

The founders who cannot are not necessarily running bad businesses. They are running businesses that have not yet been built to be owned by someone in another jurisdiction. That is a different problem from product-market fit, and capital does not solve it.

This is the lens we apply to every company we look at across the markets we work in. The strongest signal in a cross-border pitch is rarely the product. It is whether the founder has done the structural work to be investable by someone who is not sitting in the same country.

Prepare the story that actually gets underwritten

The semiconductor founder I turned away was not a weak operator. He had built something real. But he had prepared to be evaluated as a product, when he was going to be evaluated as a structure. By the time he understood the difference, the conversation was over.

If you are planning to raise across borders, prepare both stories. The product story gets you the meeting. The structure story gets you the money.

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