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Will Bitcoin hold US$77,000 or drag the market to US$2.51T? The September 10 answer

The global cryptocurrency sector experienced a slight contraction today, with total digital asset valuation down 0.75 per cent to US$2.66T. This downward movement primarily stems from investors taking profits after a robust multi-week upward trend. Market participants actively shifted their capital back toward the leading virtual coin.

Interestingly, this crypto consolidation exhibits no direct correlation with traditional macroeconomic indicators. Traditional financial markets face their own distinct set of pressures today. I view this current token behaviour as a highly specific internal consolidation rather than a broader financial panic. Traders simply decided to lock in their profits after an extended period of uninterrupted price appreciation.

This deliberate action highlights a mature ecosystem where participants rationally manage their risk exposure without succumbing to blind fear. The blockchain environment currently operates on its own internal mechanics while external equity markets grapple with entirely different fundamental challenges.

External financial markets indeed suffered significant setbacks today. Global equities and government bonds declined sharply as energy prices surged and borrowing costs increased. Brent crude oil prices climbed past the US$100 mark to top US$101 per barrel. Escalating geopolitical tensions in the Middle East directly fuelled fears of energy disruptions.

Simultaneously, the United States government executed a US$6 billion debt buyback plan that disappointed institutional investors. This disappointment pushed the 10-year US Treasury yield to its highest level since 2023. The benchmark S&P 500 index consequently fell for three consecutive sessions as inflation anxieties and interest rate concerns mounted heavily across Wall Street.

Financial derivatives markets currently price in a 62 per cent probability that the Federal Reserve will implement a 0.25 interest rate increase on September 16. Asian equity markets followed this negative trajectory and were positioned for substantial declines as regional investors reacted to energy-driven inflation fears.

Returning to the virtual coin sector, the primary catalyst for the current valuation correction involves routine profit-taking following a remarkable 20 per cent monthly rally. The total crypto capitalisation successfully gained 20.23 per cent over the past 30 days before hitting a recent local peak. Such a substantial and rapid increase in valuation naturally incentivises early buyers to sell their holdings and realise their gains.

We witnessed this exact behaviour materialise in real time as the 24-hour spot trading volume jumped exactly 18 per cent to reach a massive US$86.96B. This heightened selling activity clearly signals that traders actively chose to secure their capital rather than hold through a potential correction. I consider this specific volume spike a completely normal and healthy reaction to a sustained advance. The ecosystem simply requires time to digest these recent gains and establish a solid foundation for any future upward movements.

Also Read: Asia has not opened yet: What will the first bell reveal about Bitcoin and oil?

This modest pullback represents a typical phase in the cycle rather than a fundamental structural breakdown. Buyers and sellers are currently negotiating fair value following an aggressive upward move. Observers now closely monitor whether the broader crypto landscape maintains its position above the crucial 30-day simple moving average, which sits precisely at US$2.51T. Holding above this specific technical level would strongly indicate that buyers still control the broader narrative despite the short-term profit-taking.

A failure to defend this moving average might invite additional sellers and accelerate the current downward momentum. The current structure remains entirely intact as long as valuations respect these key historical support zones. The ongoing action merely reflects a necessary cooling-off period after weeks of relentless buying pressure and speculative enthusiasm. Participants now wait for fresh capital injections to drive the next major valuation expansion across the entire digital asset space.

A secondary but equally important factor driving the current dynamics is a clear rotation of capital away from altcoins and back toward the premier cryptocurrency. The dominance metric for the leading virtual coin remains at an impressive 59.03 per cent. This high dominance figure clearly illustrates that institutional and retail investors actively prefer the relative safety of the largest crypto during periods of uncertainty.

Concurrently, the Altcoin Season Index plunged exactly 23.53 per cent over the last 24 hours. This dramatic drop in the index perfectly captures the widespread abandonment of smaller speculative assets. Investors currently rotate their funds defensively into the premier digital asset to protect their capital from extreme volatility. I observe this defensive rotation as a classic risk-management strategy that typically occurs when participants anticipate broader economic turbulence or sector-specific corrections. A sustained rise in dominance above 60 per cent would confirm a prolonged period of outperformance for the largest asset.

Also Read: Why a strong jobs report hit Bitcoin and Ethereum harder than the stock market

The derivatives arena simultaneously underwent a significant deleveraging event, further contributing to the spot valuation decline. Total open interest across major perpetual futures contracts declined by 3.93 per cent as leveraged speculators rapidly unwound their overly optimistic positions. This reduction in open interest indicates that traders actively closed out their borrowed positions to avoid potential liquidation cascades.

Furthermore, perpetual funding rates fell sharply by 38 per cent. Lower funding rates mean that buyers no longer pay a massive premium to maintain their long positions. This derivatives reset significantly reduces systemic risk within the broader financial ecosystem. This deleveraging process is an incredibly positive development for long-term health.

Excessive leverage often triggers violent swings and unnecessary crashes. The current unwinding of these leveraged positions creates a much cleaner and more stable environment for genuine spot buyers to accumulate assets at fair valuations without facing artificial price suppression from forced liquidations.

The near-term outlook hinges on the premier digital asset’s ability to defend the crucial US$77,000 to US$78,000 zone. A decisive break below this support level could trigger algorithmic selling and push the total valuation down toward the 38.2 per cent Fibonacci retracement at US$2.51T.

Conversely, a strong bounce from this support zone would likely initiate another aggressive upward leg. Market participants also eagerly await the upcoming United States Consumer Price Index data release and the next major spot exchange-traded fund flow report arriving on September 10.

These specific macroeconomic and institutional data points will serve as the primary catalysts for the next major directional move. I expect the environment to remain in a short-term consolidation phase within a much broader macroeconomic uptrend until these crucial data points provide clear guidance to institutional investors looking to deploy fresh capital into the digital asset ecosystem.

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The views expressed in this article are those of the author and do not necessarily reflect the official policy or position of e27.

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TikTok deepens Vietnam commerce bet with US$980M logistics project in Ho Chi Minh City

TikTok’s ambitions in Vietnam are moving beyond short videos and livestream shopping into the less glamorous, but more decisive, world of logistics.

Tokgistic Pte. Ltd., a Singapore-registered affiliate of TikTok, will invest US$980 million in a new logistics project in Ho Chi Minh City, according to a statement from the city’s Department of Finance. The agency said it granted the investment certificate to Tokgistic on September 7.

Also Read: Why TikTok Shop wants Singapore merchants to think like content teams

The project, called Swift Logistics, is scheduled to run for 50 years and begin operations in November. Tokgistic will initially contribute US$196 million, equal to 20 per cent of the registered capital, and raise the remaining amount later.

On paper, Swift Logistics is registered for postal, delivery, market-research and management-consulting services. In practice, the structure suggests TikTok is laying the groundwork for a deeper role in Vietnam’s e-commerce infrastructure without necessarily building every part of the delivery network itself. For postal services, Swift Logistics will contract directly with customers but pass the actual delivery and logistics work to third-party providers.

That distinction matters. It points to a model where TikTok can sit closer to merchants, shoppers and transaction data while relying on external logistics operators for physical fulfilment. For a platform whose shopping business depends heavily on impulse purchases, livestream selling and high order volumes, tighter control over the customer journey can be as important as owning warehouses or fleets.

From content platform to commerce infrastructure

The investment is part of a wider plan TikTok discussed with Ho Chi Minh City authorities in November 2025. At the time, the company proposed establishing three businesses in logistics, digital payments and digital commerce, with links to the city’s Vietnam International Financial Center.

The financial centre is a government-backed effort to position Ho Chi Minh City as a regional financial hub. For Vietnam, attracting a global technology platform into logistics, payments and commerce fits neatly into a broader push to deepen the country’s digital economy and draw higher-value foreign investment.

For TikTok, the logic is also clear. Vietnam has become one of Southeast Asia’s most important consumer internet markets, with a young population, high social media usage and a fast-growing online retail sector. It is also a market where entertainment and commerce increasingly overlap. A product can go from viral video to checkout page in minutes, particularly on platforms that combine creators, livestreams and in-app shopping.

TikTok said last year that its planned logistics operations in Vietnam could handle 1 billion to 2 billion orders annually. It also said a payments arm could serve about 45 million users in the country, while its digital-commerce activity could support more than US$10 billion in annual transaction value.

Those numbers underline the scale of the company’s Vietnam ambitions. They also show why logistics is not a side activity for TikTok Shop. In e-commerce, especially in Southeast Asia, growth is often constrained not by demand but by fulfilment: delivery speed, failed orders, returns, cash-on-delivery handling, and the reliability of third-party couriers outside major cities.

Vietnam’s FDI pull strengthens

Swift Logistics follows another sizeable TikTok-linked commitment earlier this year. In April, TikTok Shop Vietnam announced a foreign investment of US$125 million in Ho Chi Minh City. With the new Swift Logistics project, the two projects have combined registered capital of about US$1.1 billion.

Also Read: Shopee, TikTok, Lazada: Three ways to win and no easy way in

The timing is notable. Ho Chi Minh City attracted more than US$10.06 billion in foreign direct investment in the first eight months of 2026, up 167.3 per cent from a year earlier, according to the Department of Finance. That figure was already equal to 91.5 per cent of the city’s annual target.

For the city, a large project tied to TikTok helps reinforce its position as Vietnam’s commercial and digital hub. Ho Chi Minh City already acts as the country’s startup centre, home to many local technology companies, digital lenders, e-commerce sellers, SaaS startups and cross-border trade businesses. The addition of a major logistics-linked investment from a ByteDance affiliate could strengthen the city’s role in regional digital trade, particularly if TikTok’s commerce, payments and fulfilment plans become more integrated over time.

The investment also reflects a broader shift in Southeast Asian e-commerce. The first phase of the sector was about acquiring users and subsidising transactions. The current phase is about operational discipline: who can deliver cheaply, quickly and reliably while keeping merchants and consumers inside one ecosystem.

That is why logistics has become a strategic battleground. Shopee, owned by Singapore’s Sea Group, has built out SPX Express across several markets. Lazada, backed by Alibaba, has long invested in Lazada Logistics. Independent operators such as J&T Express and Ninja Van have also scaled across the region by serving multiple platforms and merchants. TikTok’s Swift Logistics does not appear to replace these kinds of providers immediately, but it could give the company more leverage over delivery standards, data flows and merchant relationships.

Rivals will be watching

TikTok’s move will be closely watched by competitors across both e-commerce and logistics. In Vietnam and the wider region, its most direct commerce rivals include Shopee and Lazada, both of which have spent years building seller networks, payments tools and fulfilment capabilities. Local and regional delivery players such as J&T Express, Ninja Van, GHN, Giao Hang Tiet Kiem, SPX Express and Lazada Logistics already compete fiercely on cost, speed and coverage.

The challenge for TikTok is that logistics is a very different business from content. Viral videos scale with software. Delivery networks scale with people, depots, service-level agreements and thin margins. Even if Swift Logistics outsources physical delivery, TikTok will still need to manage customer expectations in a market where late parcels, failed delivery attempts and difficult returns can quickly erode trust.

There is also the regulatory dimension. TikTok, owned by China’s ByteDance, has faced scrutiny in several markets over data, content moderation and platform influence. In Southeast Asia, governments have generally taken a pragmatic approach, welcoming digital investment while keeping a closer eye on consumer protection, payments, tax and the impact of foreign platforms on local merchants.

Also Read: The next meal in Southeast Asia starts on TikTok, not in an app

Vietnam is likely to be no different. A US$980 million logistics project signals long-term commitment, but it also places TikTok more squarely inside the country’s digital economy infrastructure.

For now, Swift Logistics marks another step in TikTok’s evolution from a social media app into a commerce machine. The bet is that whoever controls attention, transactions and fulfilment will have the strongest hand in Southeast Asia’s next phase of online retail. In Vietnam, TikTok appears ready to pay heavily for that position.

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The capital drought: Over 7,500 SEA startups extinguished since 2020

Between January 2020 and mid-2026, the Southeast Asian technology ecosystem underwent a profound transformation. What began as a high-flying venture boom turned into an unprecedented “funding winter.” Tracxn data reveals that a total of 7,538 tech startups across the region deadpooled, driven by high global interest rates, macroeconomic friction, and shifting investor demands toward path-to-profitability.

While peak closures occurred during 2021 (2,260 shutdowns) and 2022 (2,059 shutdowns), attrition persisted through 2023 (1,121), rebounded in 2024 (1,378), and claimed another 308 ventures in 2025.

Also Read: From shutdown to surge: How macro relief is lifting crypto and equities

Below is a detailed retrospective examining 76 notable Southeast Asian startups that ceased operations between 2020 and 2026, complete with their business descriptions, latest funding amounts, and final fundraising dates.


🛒 E-commerce, fashion & quick-commerce

  1. Sorabel
    • Description: Indonesian fashion e-commerce platform offering a signature “try-first-pay-later” model, delivering affordable, trend-driven proprietary apparel directly to women across tier-2 and tier-3 Indonesian cities.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Aug 27, 2019
  2. Fabelio
    • Description: Indonesian online furniture and home decor e-commerce brand that combined an online storefront with physical experience centers to design and sell custom, locally manufactured furniture.
    • Latest Funded Amount: US$9M
    • Latest Funded Date: Jun 17, 2020
  3. Dropezy
    • Description: Indonesian quick-commerce startup that operated a network of dark stores delivering groceries, household essentials, and fresh produce to urban consumers in under 20 minutes.
    • Latest Funded Amount: US$2.5M
    • Latest Funded Date: Sep 23, 2021
  4. Shox Fashion
    • Description: Indonesian social commerce platform empowering community resellers in rural and non-tier-1 regions to aggregate demand and sell affordable apparel via WhatsApp and social channels.
    • Latest Funded Amount: US$5.5M
    • Latest Funded Date: Apr 18, 2022
  5. BlinQ
    • Description: Singaporean luxury fashion-tech platform utilizing augmented reality and virtual try-on software to allow shoppers to preview and purchase high-end apparel and designer accessories online.
    • Latest Funded Amount: US$2.0M
    • Latest Funded Date: Mar 01, 2019
  6. MadThread
    • Description: Singapore-based luxury fashion rental subscription platform providing women with unlimited monthly access to designer dresses, workwear, and occasion outfits through a circular wardrobe app.
    • Latest Funded Amount: US$500.0K
    • Latest Funded Date: Jul 24, 2019
  7. The Shonet
    • Description: Indonesian social commerce and beauty recommendation community where content creators and consumers shared peer reviews, style advice, and directly purchased curated lifestyle products.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Mar 05, 2019
  8. WOWBID
    • Description: Indonesian interactive live-streaming auction marketplace enabling merchants and brands to host real-time video bidding events and sell electronics, apparel, and collectibles directly to viewers.
    • Latest Funded Amount: US$5.0M
    • Latest Funded Date: Apr 25, 2019
  9. PriceArea.com
    • Description: Pioneer Indonesian shopping search engine and price comparison portal that aggregated product listings across major online merchants to help consumers find the best deals online.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Jun 17, 2012
  10. Kotoko
    • Description: Indonesian retail-as-a-service pop-up platform enabling online direct-to-consumer digital brands to test physical storefronts, offline retail distribution, and interactive customer touchpoints.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Jan 09, 2020
  11. Kasosio
    • Description: Regional social commerce platform enabling micro-influencers and small merchants to launch social storefronts, curate product catalogs, and earn sales commissions across social media channels.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Dec 2020

Also Read: ‘Companies shut down not because of crises but only when founders give up’: Joseph Phua of M17


🏢 Proptech, co-working & co-living

  1. Propzy
    • Description: Vietnamese proptech platform providing end-to-end real estate marketplace services, offline transaction hubs, digital mortgage financing, and property management tools for buyers and sellers.
    • Latest Funded Amount: US$25.0M
    • Latest Funded Date: Jun 09, 2020
  2. CoHive
    • Description: One of Indonesia’s largest co-working space operators, providing shared office spaces, private desks, flexible corporate suites, and community events across major Indonesian urban centers.
    • Latest Funded Amount: US$13.5M
    • Latest Funded Date: Jun 19, 2019
  3. Oxfordcaps
    • Description: Singapore-headquartered student housing technology startup that operated standardized, tech-enabled coliving residences and dormitories for university students across India and Southeast Asia.
    • Latest Funded Amount: US$994.5K
    • Latest Funded Date: May 29, 2020
  4. YourRent
    • Description: Regional proptech startup providing landlords and property managers with digital tenant screening, automated lease agreement execution, maintenance tracking, and online rent collection software.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Jul 16, 2020

🚚 Logistics, supply chain & transport

  1. Ritase
    • Description: Indonesian B2B digital freight logistics platform connecting commercial shippers with trucking transporters through automated load matching, real-time GPS tracking, and electronic proof-of-delivery software.
    • Latest Funded Amount: US$8.5M
    • Latest Funded Date: May 03, 2019
  2. CarPal
    • Description: Singapore-based on-demand urban logistics platform that utilized crowd-sourced drivers to provide same-day courier services, express parcel delivery, and localized distribution for businesses.
    • Latest Funded Amount: US$2.8M
    • Latest Funded Date: Apr 26, 2017
  3. Catchthatbus
    • Description: Malaysian online travel booking platform enabling passengers to search, compare schedules, and purchase intercity bus and coach tickets across Malaysia and Singapore.
    • Latest Funded Amount: US$1.5M
    • Latest Funded Date: Aug 31, 2015
  4. DedaaBox
    • Description: Myanmar parcel delivery startup that deployed automated smart parcel lockers across residential and commercial buildings to streamline last-mile e-commerce package pickups.
    • Latest Funded Amount: US$550.0K
    • Latest Funded Date: Dec 03, 2017
  5. Hello Cabs
    • Description: Early Myanmar ride-hailing and taxi dispatch network providing urban passengers with phone hotline and mobile app bookings for metered taxi transport.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Apr 24, 2017

💳 Fintech, crypto, Web3 & insurtech

  1. Cabital
    • Description: Singapore crypto wealth management platform that allowed retail and institutional users to buy, sell, transfer, and earn high-yield interest on digital assets and stablecoins.
    • Latest Funded Amount: US$4.0M
    • Latest Funded Date: Sep 03, 2021
  2. Toast Me
    • Description: Singaporean mobile payments and fintech platform offering integrated point-of-sale solutions, peer-to-peer money transfers, and digital merchant loyalty programs for retail stores and restaurants.
    • Latest Funded Amount: US$1.5M
    • Latest Funded Date: Nov 10, 2016
  3. SALPay
    • Description: Philippine fintech and payroll management platform connecting cloud HR software with employee prepaid debit cards to automate wage disbursements and offer micro-financial services.
    • Latest Funded Amount: US$7.1M
    • Latest Funded Date: Dec 28, 2017
  4. Halofina
    • Description: Indonesian robo-advisory and personal wealthtech startup helping young professionals set financial goals, track personal budgets, and invest automatically in regulated mutual fund portfolios.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Nov 29, 2019
  5. AgenKAN
    • Description: Indonesian micro-fintech platform empowering neighborhood mom-and-pop grocery stores (warungs) to sell financial products, process bill payments, and distribute digital micro-loans.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Jun 16, 2020
  6. Pax Credit
    • Description: Singapore cross-border fintech startup offering international students transparent currency exchange, overseas tuition payment transfers, and digital student bank accounts worldwide.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Jan 24, 2021
  7. AlgoBlocks
    • Description: Singaporean DeFi aggregator platform enabling Web3 users to discover, build, and execute complex multi-step decentralized finance investment strategies using a visual drag-and-drop workflow.
    • Latest Funded Amount: US$1.9M
    • Latest Funded Date: Apr 16, 2022
  8. Qarbon
    • Description: Web3 sustainability protocol developing decentralized carbon offset verification software and tokenized environmental asset management tools for global corporate ESG compliance.
    • Latest Funded Amount: US$5.5M
    • Latest Funded Date: Jun 10, 2023
  9. UexGlobal
    • Description: Singapore insurtech startup offering a paperless, digital health insurance platform that provided customizable international medical policies for expatriates, remote workers, and SMEs.
    • Latest Funded Amount: US$983.4K
    • Latest Funded Date: Feb 23, 2018
  10. Seed Token
    • Description: Blockchain infrastructure project developing decentralized protocols for tracking clean energy generation, verifying carbon reductions, and trading renewable energy certificates transparently.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Mar 28, 2018

Also Read: Indonesian e-commerce platform Sorabel to shut down by end-July


🤖 Enterprise SaaS, AI & deeptech

  1. Taiger
    • Description: Singaporean artificial intelligence software company providing natural language processing and automated document extraction technology to streamline complex operations for banking and government clients.
    • Latest Funded Amount: US$25.0M
    • Latest Funded Date: Jul 09, 2019
  2. FireVisor
    • Description: Singaporean industrial AI startup offering automated computer vision and predictive analytics software to detect product manufacturing defects in real time for semiconductor and solar factories.
    • Latest Funded Amount: US$739.7K
    • Latest Funded Date: Mar 19, 2019
  3. Braiven
    • Description: Enterprise AI and operational decision intelligence software firm providing predictive analytics, workflow automation, and supply chain optimization tools for heavy industry and logistics operators.
    • Latest Funded Amount: US$3.7M
    • Latest Funded Date: May 27, 2019
  4. Bonza
    • Description: Indonesian no-code big data analytics platform that helped enterprises ingest large data streams, build custom machine learning models, and generate real-time operational BI dashboards.
    • Latest Funded Amount: US$2.0M
    • Latest Funded Date: May 06, 2021
  5. Omnilytics
    • Description: Malaysian fashion market intelligence platform offering fashion retailers real-time competitive pricing analysis, assortment benchmarks, and inventory trends across global e-commerce channels.
    • Latest Funded Amount: US$1.1M
    • Latest Funded Date: Sep 22, 2020
  6. Botbot
    • Description: Singapore enterprise conversational AI startup building automated chatbots to optimize internal corporate workflows, HR employee onboarding, and customer support across enterprise chat channels.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Oct 22, 2018
  7. Peoplewave
    • Description: Singapore HR technology startup providing data-driven performance management software, continuous feedback tools, and automated employee onboarding analytics for mid-sized corporate enterprises.
    • Latest Funded Amount: US$500.0K
    • Latest Funded Date: Nov 10, 2017
  8. Synchronous
    • Description: AI productivity platform offering remote teams automated workflow synchronization, intelligent task extraction, and cross-platform communication summaries for distributed workforces.
    • Latest Funded Amount: US$55.0K
    • Latest Funded Date: Jan 23, 2019
  9. IsItUp.com
    • Description: Malaysian cloud asset management SaaS platform enabling businesses to catalog, audit, track maintenance schedules, and manage physical equipment and office hardware assets.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Nov 14, 2016
  10. Nook
    • Description: Virtual workplace SaaS platform that allowed remote and hybrid teams to create customizable digital offices, audio rooms, and collaborative screen-sharing spaces for spontaneous team meetings.
    • Latest Funded Amount: US$125.0K
    • Latest Funded Date: Jun 13, 2023
  11. koinearth
    • Description: Blockchain and AI enterprise software firm specializing in digital supply chain provenance tracking, asset tokenization, and secure cross-company data sharing protocols.
    • Latest Funded Amount: US$1.8M
    • Latest Funded Date: Mar 05, 2021
  12. NIS Solution
    • Description: Regional enterprise technology services provider offering specialized custom software engineering, system integration, cloud deployment, and cybersecurity management for corporate clients.
    • Latest Funded Amount: US$29.3K
    • Latest Funded Date: Jan 26, 2017

📺 Media, entertainment, gaming & audio

  1. Migo
    • Description: Content delivery network utilizing micro-server hardware in local corner stores across Indonesia and the Philippines to let low-income consumers download digital video and educational content data-free.
    • Latest Funded Amount: US$20.0M
    • Latest Funded Date: Feb 10, 2023
  2. PicMix
    • Description: Indonesian photo-sharing mobile social platform allowing millions of users to apply artistic filters, share photo collages, interact in interest groups, and participate in brand contests.
    • Latest Funded Amount: US$3.0M
    • Latest Funded Date: Apr 12, 2016
  3. Nooble
    • Description: Singaporean audio social platform enabling content creators and casual users to record short-form voice notes, host micro-podcasts, and hold asynchronous voice discussions around trending topics.
    • Latest Funded Amount: US$144.1K
    • Latest Funded Date: Aug 16, 2021
  4. Momolay
    • Description: Myanmar digital media portal and entertainment news app delivering localized pop-culture news, celebrity gossip, viral articles, and lifestyle content to mobile readers.
    • Latest Funded Amount: US$200.0K
    • Latest Funded Date: Oct 27, 2015
  5. Chate Sat
    • Description: Myanmar digital freelance portal matching local enterprises and agencies with vetted freelance graphic designers, content writers, translators, and web developers.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Oct 03, 2018
  6. HaloHola
    • Description: Indonesian transit entertainment network that installed localized Wi-Fi servers on buses, trains, and planes to stream free movies, music, and games to passengers without mobile internet.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: 2017
  7. UpNext
    • Description: Web3 digital curation platform helping creators and web users aggregate digital links, monetize content streams, organize NFT collections, and engage audience communities.
    • Latest Funded Amount: US$150.0K
    • Latest Funded Date: May 05, 2022
  8. i Digital Connect
    • Description: Thai online gaming platform and digital game publisher distributing massively multiplayer online games (MMORPGs) and localized gaming content across Thailand and Southeast Asia.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Oct 12, 2016
  9. Playy.World
    • Description: Regional esports social hub enabling mobile gamers to host community tournaments, track player rankings, compete on leaderboards, and win digital gaming rewards.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Jan 08, 2020
  10. Allwoman
    • Description: Malaysian digital lifestyle platform and online publisher creating empowerment content, wellness guides, career advice, and community events tailored for modern women.
    • Latest Funded Amount: US$100.0K
    • Latest Funded Date: Jan 10, 2019
  11. Trustory
    • Description: Malaysian collaborative debate platform designed to combat online fake news by encouraging users to verify digital claims, cite evidence, and debate news stories.
    • Latest Funded Amount: US$3.0M
    • Latest Funded Date: May 24, 2018

Also Read: High-profile startup failures in Southeast Asia: What went wrong?


🎓 Edutech, healthtech & cleantech

  1. Taamkru
    • Description: Thai gamified edtech platform providing interactive preschool learning apps, developmental tracking, and competitive testing benchmarks for young children and parents across Southeast Asia.
    • Latest Funded Amount: US$620.0K
    • Latest Funded Date: Jul 30, 2014
  2. EduReviews
    • Description: Malaysian educational review directory allowing parents and students to search, evaluate ratings, and compare private schools, enrichment centers, and tuition courses.
    • Latest Funded Amount: US$266.2K
    • Latest Funded Date: Feb 25, 2021
  3. Impact Terra
    • Description: Myanmar agritech social enterprise operating a mobile app for smallholder farmers, delivering localized weather alerts, crop disease management tips, and agricultural market price data.
    • Latest Funded Amount: US$2.3M
    • Latest Funded Date: Mar 19, 2018
  4. EcoWorth Tech
    • Description: Singapore cleantech company utilizing proprietary carbon fiber aerogel technology to convert industrial wastewater into reusable clean water while recovering valuable organic liquids.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: May 25, 2022
  5. NephTech
    • Description: Singapore MedTech startup developing non-invasive vascular access surveillance devices to help hemodialysis centers monitor blood vessel health in end-stage kidney failure patients.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Mar 19, 2020
  6. Pesan Lab
    • Description: Indonesian healthtech platform providing on-demand home medical lab testing, permitting patients to book clinical blood tests and health checks delivered by visiting phlebotomists.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: 2017
  7. Thinkphi
    • Description: Sustainable clean-tech hardware startup engineering umbrella-like structures designed to harvest rainwater, generate solar power, and provide shaded green spaces for urban environments.
    • Latest Funded Amount: US$549.3K
    • Latest Funded Date: May 15, 2018
  8. Tera
    • Description: Singapore advanced materials manufacturer producing eco-friendly, ultra-high-barrier protective films and biodegradable barrier packaging for electronics, solar panels, and food preservation.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Aug 24, 2009
  9. Exora
    • Description: Philippine digital energy marketplace connecting commercial and industrial power buyers with renewable energy suppliers to facilitate open-market electricity bidding and procurement.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: 2018

🍽 Services, lifestyle, travel & on-demand apps

  1. Kaodim
    • Description: Leading Malaysian services marketplace matching homeowners and businesses with vetted service professionals, including plumbers, electricians, air-con technicians, and home cleaners.
    • Latest Funded Amount: US$7.0M
    • Latest Funded Date: Nov 06, 2017
  2. TokoTalk
    • Description: Indonesian e-commerce SaaS tool helping social sellers turn messaging chats into automated e-commerce web stores with integrated payment processing and delivery dispatch.
    • Latest Funded Amount: US$3.2M
    • Latest Funded Date: Apr 25, 2019
  3. Flexible Pass
    • Description: Myanmar fitness and health marketplace providing gym-goers with flexible, multi-venue access to fitness centers, yoga classes, and sports activities through a single pass app.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Aug 13, 2019
  4. Adventoro
    • Description: Malaysian travel tech platform providing online bookings for curated adventure tours, eco-tourism activities, outdoor excursions, and authentic local travel experiences in Southeast Asia.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: 2017
  5. Food2U
    • Description: Early Myanmar food delivery marketplace connecting urban diners with local restaurants for doorstep meal delivery via a mobile app platform.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Apr 23, 2018
  6. become
    • Description: Malaysian personalized skincare and beauty marketplace utilizing digital diagnostic quizzes to match consumers with customized skincare routines and products.
    • Latest Funded Amount: US$150.0K
    • Latest Funded Date: Jun 01, 2020
  7. Instawash
    • Description: Thailand-based on-demand doorstep mobile car wash service enabling vehicle owners to schedule eco-friendly auto cleaning and detailing at home or work.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Dec 14, 2018
  8. JomPaw
    • Description: Malaysian pet services marketplace matching pet owners with reliable local pet sitters, dog walkers, home groomers, and pet trainers.
    • Latest Funded Amount: US$24.8K
    • Latest Funded Date: Jan 17, 2019
  9. Globerekker Challenge
    • Description: Singapore corporate health and wellness platform engaging employees in gamified team fitness challenges, step-tracking competitions, and corporate wellness programs.
    • Latest Funded Amount: US$600.0K
    • Latest Funded Date: Sep 28, 2015
  10. Box24
    • Description: Thai smart kiosk operator providing automated 24/7 parcel collection lockers, smart dry cleaning drop-offs, and urban laundry services.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: 2017
  11. Kerjadulu
    • Description: Indonesian social recruiting app linking job candidates directly with company hiring managers through social network connections and instant messaging.
    • Latest Funded Amount: Undisclosed
    • Latest Funded Date: Mar 01, 2016
  12. Hoorah
    • Description: Mobile marketing engagement startup offering brands interactive digital loyalty cards, instant consumer reward promotions, and gamified customer retention tools.
    • Latest Funded Amount: US$358.0K
    • Latest Funded Date: Apr 23, 2017
  13. Stubapp
    • Description: Regional digital event ticketing app enabling event organizers to create, market, sell mobile tickets, and manage event access control.
    • Latest Funded Amount: US$136.1K
    • Latest Funded Date: Jun 19, 2018
  14. Resdi
    • Description: Hyperlocal social platform enabling neighbors to post local alerts, buy and sell second-hand goods, and share community recommendations within their residential zip codes.
    • Latest Funded Amount: US$25.0K
    • Latest Funded Date: Dec 23, 2019

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Anatomy of a shakeout: what 7K+ deadpooled startups reveal about Southeast Asia’s new tech reality

For much of the last decade, Southeast Asia’s startup story was told through funding milestones, rising valuations and the promise of a young, mobile-first population coming online. But beneath the optimism, another dataset was forming: the companies that did not make it.

Between January 1, 2020, and July 9, 2026, 7,538 technology startups in Southeast Asia deadpooled, according to the Tracxn dataset reviewed. The figure captures a sharp correction after years in which cheap global capital, rapid digital adoption and pandemic-era behaviour shifts encouraged companies to chase scale before proving whether their economics worked.

Also Read: When debt replaces equity: How SEA startups mask a funding winter

The correction was not evenly spread. A deeper look at 76 notable venture-backed startups that shut down shows where the pressure was most severe: e-commerce, social commerce, quick commerce, proptech, co-working, fintech, Web3, logistics, on-demand services, deeptech and media distribution.

Many of these businesses had raised institutional capital. Several had secured more than US$10 million. Yet their models depended on assumptions that stopped holding once interest rates rose and investors began asking harder questions about margins.

The delayed impact of the pandemic boom

The first year of the pandemic did not immediately produce the largest wave of failures. In 2020, 412 startups in the region shut down. Emergency government support, bridge rounds and aggressive cost-cutting helped many companies buy time. Founders also benefited from the belief that digital adoption had permanently accelerated.

The real reckoning came a year later. In 2021, 2,260 startups deadpooled, a 5.5-fold increase from 2020 and the highest annual number in the dataset. These closures reflected the hangover from 2019 and 2020, when valuations often assumed endless growth and abundant capital. Many companies had spent heavily to acquire users, subsidise transactions and enter new markets before demonstrating durable revenue.

In 2022, another 2,059 startups shut down as inflation rose and central banks tightened monetary policy. Together, 2021 and 2022 accounted for 57.3 per cent of all closures in the six-year period. By then, the venture funding winter had moved from boardroom discussion to operational reality.

Late-stage capital became harder to secure, down rounds carried stigma, and companies that had raised at peak valuations found themselves trapped between shrinking runways and difficult reset conversations.

The pace eased in 2023, with 1,121 closures, as many weaker companies had already liquidated and survivors slashed costs. But the pressure returned in 2024, when 1,378 startups shut down. This second wave was driven by companies that had survived on bridge financing in 2022 and 2023, only to run out of options when Series B and Series C capital failed to arrive.

By the latest period, covering 2025 to July 9, 2026, the number had dropped to 308. That does not mean Southeast Asia’s startup ecosystem has become risk-free. It suggests the most indiscriminate phase of the correction has passed, leaving behind fewer companies but, in many cases, more disciplined ones.

Where the business models broke

The highest-profile failures were concentrated in sectors where growth required constant cash injection.

E-commerce and social commerce were among the most exposed. Indonesian fashion platform Sorabel, known for its “try-first-pay-later” model, shut down after exhausting its runway. Direct-to-consumer furniture company Fabelio closed despite raising US$9 million in June 2020, weighed down by inventory, showroom costs and operational complexity.

Social commerce players such as Shox Fashion, which raised US$5.5 million in April 2022, and WOWBID, which secured US$5 million in April 2019, struggled as customer acquisition costs rose and reseller-driven growth became harder to sustain.

Also Read: The capital cost strategy: Why high initial investment is your strongest protection

Quick commerce faced a similar problem. Dropezy, a dark-store grocery delivery startup, collapsed after raising US$2.5 million in September 2021. The thesis was familiar across the region: use dense urban demand and neighbourhood fulfilment centres to deliver daily goods quickly. The challenge was that speed did not automatically translate into healthy margins. Rent, labour, stock management and last-mile delivery costs proved difficult to absorb without subsidies.

Proptech and shared-space companies were hit by another weakness: fixed obligations. Vietnam’s Propzy shut down despite raising US$25 million in Series A funding in June 2020. Indonesia’s CoHive, once one of the country’s largest co-working operators, closed after raising US$13.5 million in June 2019. Student housing platform Oxfordcaps also folded after securing nearly US$1 million in May 2020. These businesses were especially vulnerable because they carried real-world liabilities while trying to deliver venture-style growth.

Fintech and crypto companies faced a different combination of pressures. Liquidity tightened, regulators became more cautious, and investor appetite for speculative models weakened. Crypto wealth manager Cabital closed after a US$4 million raise in September 2021. Web3 protocol Qarbon failed despite raising US$5.5 million in June 2023. Philippine payroll fintech SALPay, which had raised US$7.1 million in December 2017, and DeFi aggregator AlgoBlocks, which secured US$1.9 million in April 2022, also ceased operations.

Logistics and on-demand services were squeezed by thin margins. Freight marketplace Ritase shut down after raising US$8.5 million in May 2019, while Malaysian services marketplace Kaodim folded despite raising US$7.0 million in November 2017. Delivery app CarPal also closed after securing US$2.8 million in April 2017. In these categories, scale was supposed to improve utilisation and reduce costs. In practice, fragmented demand, driver supply issues and price competition often kept profitability out of reach.

Even deeptech and media infrastructure were not spared. Enterprise AI company Taiger shut down after raising US$25 million in July 2019. Migo, which raised US$20 million in February 2023 to distribute digital content through offline hardware in Indonesian corner stores, also ceased operations after its capital needs overtook revenue generation.

Three lessons from the deadpool

The first lesson is that timing matters. More than 60 per cent of the 76 notable companies raised their final funding rounds between 2019 and 2021. Many built teams, operations and market plans for a world where capital would remain cheap. When that world disappeared in 2022, cutting fast enough became almost impossible.

The second lesson is that gross merchandise value can mislead. For years, startups reported transaction volumes and user growth as proof of momentum. But GMV does not pay salaries, rent or delivery costs. Once subsidies stopped, companies with weak contribution margins had little room to manoeuvre.

Also Read: The capital drought: Over 7,500 SEA startups extinguished since 2020

The third lesson is that Southeast Asia punishes premature expansion. The region is often discussed as one market, but it is a patchwork of different languages, regulations, payment behaviours, logistics networks and consumer expectations. Expanding across ASEAN before winning at home multiplied burn without necessarily building a moat.

The shakeout is painful, but it is not only a story of failure. It marks the end of a cycle in which capital often substituted for product-market fit. The next generation of founders will still pursue large markets, but they will be expected to show clearer paths to cash flow, stronger unit economics and more careful capital allocation.

For Southeast Asia, that may be the healthier reality. The ecosystem is smaller than the boom years promised, but it is also becoming harder to fool.

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The imported risk: How geopolitics moved from ASEAN’s macro problem to ASEAN’s balance sheet

Last quarter I reviewed the credit file for a mid-sized Indonesian manufacturer applying for a working capital facility. The numbers were healthy. The covenants were standard. The collateral was sufficient. What stopped me was the customer concentration disclosure: more than 60 per cent of the manufacturer’s annual revenue came from a single buyer in a sector currently subject to US export controls, with components sourced from a Chinese supplier whose parent company appeared on a US entity list earlier this year.

The credit risk, in conventional terms, was manageable. The geopolitical risk inside the credit risk was not, and the bank’s credit policy framework had no formal way of pricing it.

That kind of file is now arriving across ASEAN banking, multifinance, and trade finance functions in volumes the supervisory infrastructure designed for the older version of geopolitical risk has not caught up to.

The shift that happened

For most of the past two decades, geopolitical risk in ASEAN was a macro problem. It showed up as currency stress when capital flowed out, trade volume drops when major partners imposed tariffs, and cross-border funding stress during episodes of dollar tightness. The supervisory toolkit was correspondingly macro, capital adequacy buffers, reserve requirements, foreign exchange limits.

The decisions made in Washington, Beijing, and Moscow since 2024 have pushed risk down two layers, out of the macro statistics and into individual loan files, individual compliance reviews, and individual technology stacks. The macro toolkit has not stopped being useful. It has stopped being sufficient.

Where the imported risk now sits

Four transmission mechanisms deserve to be named.

Supply chain credit risk. ASEAN exporters are increasingly caught between US export controls and Chinese counter-measures. A borrower whose primary customer is now on a sanctions list, or whose primary supplier was added to an entity restriction, has experienced a material change in credit risk that conventional financial statements may not yet reflect.

Also Read: Code, power, and chaos: The geopolitics of cybersecurity

Sanctions compliance burden. The Russia sanctions architecture established since 2022 has been more durable and secondary-effect-heavy than ASEAN compliance teams initially modelled. Banks operating across multiple jurisdictions now face overlapping US, EU, and UK secondary sanctions regimes, with documentation requirements that exceed what regional supervisors require domestically.

USD funding fragmentation. The architecture for dollar funding in Asia has not broken, but it has become more conditional. Episodes of US monetary tightening now carry geopolitical signals attached, counter-China policy, sanctions enforcement, election-cycle volatility, that make dollar funding more expensive and more uncertain than the pre-2024 baseline.

Technology stack geopolitical risk. US export controls on semiconductors, cloud services, and AI infrastructure now reach into the technology stack of ASEAN financial institutions. The vendor a bank depends on for fraud detection, AI scoring, or core banking may itself be subject to restrictions on what it can sell or deploy in specific markets.

Why ASEAN risk teams are behind

Outsourced thinking. For most of the post-1997 period, ASEAN institutions could reasonably outsource geopolitical risk analysis to global research houses, ratings agencies, and the IMF. Since 2024, the gap between global frameworks and ASEAN-specific exposure has widened. The outsourced analysis is no longer applicable in the way it used to be.

Capacity gap. Few ASEAN financial institutions have an in-house geopolitical risk function with depth comparable to their credit, market, or operational risk teams. The volume of files now requiring that kind of analysis exceeds the capacity that exists.

Supervisory silence. ASEAN supervisors have updated frameworks for cyber risk, climate risk, and operational resilience over the past five years. Geopolitical risk frameworks remain conspicuously underdeveloped. The supervisory expectation is unclear, which produces uneven institutional responses.

What is starting to work

Geopolitical exposure mapping. Large ASEAN banks are mapping the geopolitical exposure inside their major credit relationships, which clients are sanctions-exposed, which supply chains run through controlled jurisdictions, which technology dependencies sit inside sanctions architecture.

Also Read: The shifting geopolitics of sustainability, energy, and climate

Geopolitical scenarios in stress testing. Some institutions have added explicit geopolitical scenarios to internal stress tests, a sustained US-China trade dislocation, a Taiwan escalation, a sanctions tightening event, and tested portfolio impact.

Cross-functional geopolitical desks. The institutions making the most progress have created small cross-functional teams including treasury, compliance, credit, and government relations, meeting frequently enough to translate breaking developments into specific portfolio decisions.

What needs to happen

Build in-house geopolitical capability. Outsourcing to global houses is no longer sufficient. ASEAN institutions need staff who can read the same primary sources as their compliance counterparts in New York or London, in real time, and translate them into local decisions.

Update credit policy to include geopolitical exposure. Credit committees should require explicit geopolitical exposure disclosure for material relationships, alongside traditional credit metrics.

Develop supervisory expectations. ASEAN regulators should publish frameworks for geopolitical risk in financial institutions, institution-level frameworks that match what cyber and climate already have.

The macro stakes

For most of my career, geopolitical risk was something ASEAN’s central banks worried about during crises and the rest of the financial sector worried about as background context. That arrangement worked because the geopolitical risks of the post-1997 era were episodic. The current era is not.

The decisions being made in Washington, Beijing, Moscow, and Brussels are now landing inside ASEAN balance sheets month after month, across loan files, vendor contracts, technology stacks, and compliance frameworks. The institutions that adapt their risk infrastructure to that reality will be the ones still functioning when the next material geopolitical shock arrives.

The imported risk is no longer arriving once a decade. It is arriving once a quarter. The risk function that absorbs it has to absorb it that often too.

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. You can also share your perspective by submitting an article, video, podcast, or infographic.

The views expressed in this article are those of the author and do not necessarily reflect the official policy or position of e27.

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Asia has not opened yet: What will the first bell reveal about Bitcoin and oil?

Speculators rapidly adjust portfolios in response to shifting interest rate expectations and escalating global conflicts. The leading cryptocurrency recently experienced a notable decline while major United States stock indices suffered significant losses. This dual downturn highlights a broader risk-off strategy among individuals anticipating tighter monetary policy and higher energy costs. These factors create a highly volatile environment demanding careful analysis of underlying metrics rather than superficial valuation movements. We must evaluate specific numbers driving these asset classes to understand true directional momentum.

The top digital token currently trades at US$78,510.84, down 0.77 per cent over the last 24 hours. This instrument slightly underperforms a relatively flat broader financial landscape. Such divergence indicates crypto-specific macro positioning drives current valuation action rather than general equity trends. We see a weak correlation between traditional safe havens and stocks during this specific window.

The S&P 500 moved down just 0.06 per cent while Gold gained 0.29 per cent over the same period. Participants currently treat the primary decentralised network strictly as a rate-sensitive risk instrument. They reduce exposure to non-yielding speculative tokens as risk-free government bond yields climb. This behaviour confirms that digital currency ecosystems operate with unique internal dynamics when confronted with shifting monetary landscapes.

The dominant driver behind this crypto ecosystem shift involves changing rate expectations. Last week saw a stronger-than-expected United States jobs report, which added 162,000 positions to the economy. This robust employment data immediately increased odds for a Federal Reserve rate hike at the upcoming September 15 to 16 meeting. Higher government bond yields directly reduce the relative appeal of speculative investments.

Buyers now heavily price in a higher probability of tighter monetary policy ahead of critical inflation figures. The financial world eagerly awaits the United States Consumer Price Index report scheduled for Friday, September 11. This upcoming inflation print will either solidify or soften current expectations for central bank hikes. Market participants remain highly sensitive to economic metrics that might influence monetary authority decisions.

Also Read: Why a strong jobs report hit Bitcoin and Ethereum harder than the stock market

Valuation drops in the digital asset space frequently trigger severe mechanical selling. The recent cryptocurrency decline initiated a massive leverage unwinding event across the digital landscape. Exchanges recorded US$264 million in total liquidations over the last 24 hours. Positions tied to the largest blockchain accounted for US$73.33 million of this total. This liquidation volume represents a 76.73 per cent increase from the previous day.

Approximately 90 per cent of these forced sales involved long positions. This statistic indicates a complete flush of overleveraged bullish bets. Forced selling creates a dangerous feedback loop that exacerbates downward valuation momentum. Analysts must watch for stabilisation in open interest and funding rates to confirm that this leverage flush has finally run its course across major platforms.

Traditional equity venues also reflect deep participant concern regarding the broader economic outlook. Wall Street closed lower on Tuesday, September 8, 2026. Major indices surrendered substantial ground as individuals digested negative news regarding global energy supplies. The Dow Jones Industrial Average fell 628.18 points or 1.2 per cent to close at 52,786.07. The S&P 500 dropped 45.08 points or 0.6 per cent to finish at 7,673.52.

The Nasdaq Composite slipped 85.58 points or 0.3 per cent to end the session at 26,421.41. Small-cap stocks also retreated as the Russell 2000 index lost 15.44 points, or 0.5 per cent, to settle at 2,960.20. These broad declines demonstrate that equity buyers share the exact same risk-off sentiment currently gripping the digital asset space and global commodity venues.

Sector performance on Wall Street clearly illustrates the specific fears driving this equity sell-off. The Energy, Utilities, and Real Estate sectors managed to close higher despite the broader index’s decline. Conversely, Health Care, Financials, and Materials severely lagged the wider financial landscape.

The Dow Jones Industrial Average took a particularly hard hit due to a sharp pullback in healthcare. The primary catalyst for this sector rotation involves rapidly escalating geopolitical tensions involving Iran. These conflicts directly threaten global energy infrastructure and disrupt regional supply chains. Crude oil markets reacted violently to these disruptions. Brent crude briefly approached US$99.50 a barrel as attacks on regional energy facilities spooked commodity buyers. Oil eventually settled in the green as participants priced in a sustained period of elevated energy costs.

Also Read: From US$79,300 to US$82,400: Mapping the narrow corridor that decides Bitcoin’s September

Rising energy costs directly renew inflation worries among institutional and retail buyers. Crude oil nearing US$100 a barrel introduces a massive variable into future inflation calculations. Higher fuel and transportation costs inevitably filter down to consumer goods and services. This dynamic severely complicates the Federal Reserve’s mandate to maintain price stability.

The combination of strong jobs data and surging oil prices creates a perfect storm for persistent inflation. Participants now fear that the central bank might adopt an even more aggressive stance to combat these rising prices. This reality explains why both digital assets and traditional equities sold off simultaneously. Individuals simply lack the appetite to hold risk instruments when the cost of capital threatens to rise significantly soon.

The immediate outlook for the leading cryptocurrency remains sideways to bearish until the ecosystem digests upcoming inflation data. A sustained hold above US$78,000 could stabilise the asset and attract cautious buyers. A daily close below this crucial threshold would likely trigger a test of lower supports. Analysts currently target the US$76,000-US$77,600 support zone if bearish momentum continues.

Also Read: Bitcoin just broke US$81,000: The real reason is not what you think

Conversely, a cooler inflation print could allow a rebound toward the US$80,000 mark. Speculators should note that firm resistance awaits near the US$81,000 to US$82,000 range. Institutional exchange-traded fund demand continues to provide a structural bid for the asset. Macroeconomic fears completely overshadow this underlying institutional demand during the current trading week as participants await concrete economic numbers.

The combination of hawkish central bank repricing and a leveraged long squeeze has definitively tipped short-term momentum downward. The path of least resistance remains cautiously lower until the ecosystem receives concrete macroeconomic confirmation. Friday, September 11, stands out as the most critical date for near-term price discovery.

The reaction at the US$78,000 support will determine whether the financial landscape experiences a healthy pullback or a deeper correction. At the time of writing this analysis, Asian exchanges have not opened for the trading session. I eagerly anticipate analysing the Asian exchange reaction when trading begins. The opening bell in Asia will likely provide crucial clues regarding global sentiment and set the tone for the week.

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. You can also share your perspective by submitting an article, video, podcast, or infographic.

The views expressed in this article are those of the author and do not necessarily reflect the official policy or position of e27.

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Thailand’s mobility future will be decided by data, not just vehicles

Thailand’s mobility story is often told through the lens of electric vehicles, new car factories and government incentives. But at HERE Directions Bangkok 2026, the more important question was not simply what people will drive. It was how vehicles, roads, cities and public agencies will share enough intelligence to make movement safer and more efficient.

Hosted by location data company HERE Technologies at Park Hyatt Bangkok, with Amazon Web Services as co-host, the event brought together government representatives, automakers, technology firms and mobility specialists to examine the next phase of Thailand’s transport evolution. The discussion ranged from road safety and electrification to AI-assisted driving and connected urban data systems.

Also Read: Southeast Asia’s EV startups draw US$622M as clean mobility shifts from pitch to pilot

The timing matters. Thailand is already Southeast Asia’s most important automotive manufacturing base and has set an ambition for zero-emission vehicles to account for 30 per cent of total vehicle production by 2030. At the same time, Bangkok’s congestion, Thailand’s high road fatality rate and the country’s heavy dependence on motorcycles show that the mobility transition cannot be solved by swapping petrol engines for batteries alone.

Road safety is still the hardest problem

One of the clearest themes from the event was that road safety remains Thailand’s most urgent mobility challenge.

Motorcycles account for nearly half of registered vehicles in the country, making two-wheeler safety central to any national transport strategy. For millions of Thais, motorcycles are not recreational vehicles; they are the default option for commuting, food delivery, informal logistics and last-mile transport. That makes the risks harder to manage and the policy response more complex.

Location intelligence has an obvious role here. Accident hotspot alerts, road condition notifications, safer route suggestions and live traffic updates can help drivers and riders make better decisions before danger becomes unavoidable. For fleet operators, the same data can shape driver coaching, route planning and insurance risk models.

“Thailand is entering a new era of mobility where real-time decisions matter more than ever. Electrification, AI-powered driving experiences and rising expectations around road safety are transforming how people and goods move,” said Deon Newman, Senior Vice President and General Manager for Asia Pacific at HERE Technologies. “As vehicles become more connected and software-defined, location intelligence is becoming the critical foundation that helps drivers, businesses and cities make safer, smarter and more informed decisions in real time.”

The point is especially relevant in Southeast Asia, where urban transport systems are highly mixed. Cars, buses, motorcycles, tuk-tuks, delivery riders and pedestrians often share the same road space. In that environment, maps cannot be static digital replicas of roads. They need to capture changing conditions, risk patterns and local driving behaviour.

EV adoption needs more than chargers

Electrification was another major focus, but speakers treated it as part of a wider mobility shift rather than a standalone vehicle trend.

Thailand’s EV market has been expanding, supported by government incentives and investment from global and Chinese automakers. Yet the transition includes more than battery electric cars. Hybrids, plug-in hybrids, hydrogen fuel-cell vehicles, commercial fleets, electric buses and two-wheelers will all be part of the mix.

This creates a new planning burden. Drivers need to know not only where a charging station is, but whether it is available, compatible, reliable and reachable based on battery level, traffic and terrain. Fleet operators need to plan routes around charging windows and delivery schedules. Cities need to understand where infrastructure gaps are emerging.

That is where location data becomes operational rather than merely navigational. A map that can combine road networks, charging locations, energy consumption patterns and live traffic can help reduce range anxiety and improve vehicle utilisation. For logistics companies, even small gains in routing efficiency can translate into lower costs across thousands of trips.

AI turns maps into decision systems

The event also looked at how artificial intelligence is changing the role of in-vehicle navigation. Advanced driver assistance systems, or ADAS, and Navigation on Autopilot are pushing maps beyond turn-by-turn directions.

For these systems to work safely, vehicles need to understand road context: lane structures, speed restrictions, intersections, curves, construction zones and hazards ahead. AI can help interpret this environment, but it still depends on reliable underlying map and location data.

Also Read: SLEEK EV’s US$8.5M Series A funding signals a more mature EV playbook

This is where the industry is moving towards what automakers often call software-defined vehicles. In simple terms, more of the vehicle’s functions are managed and improved through software rather than fixed hardware alone. Navigation, safety alerts, driver assistance and infotainment are increasingly connected.

At HERE Directions Bangkok, neueHCT demonstrated several AI-powered driving technologies, including HCT Astra, an assisted driving platform; HCT Luna, a smart camera system; and HCT Orbis, a rider assistance system for two-wheelers. The inclusion of two-wheeler technology is notable in Thailand and the wider region, where mobility innovation often needs to start with motorcycles rather than premium cars.

Smarter cities need shared data

Beyond vehicles, the event returned repeatedly to the importance of connected data ecosystems. Smart city projects often struggle because information sits in separate systems across government agencies, transport operators, emergency services and private mobility companies.

Dr Passakon Prathombutr, Vice Chairman of iTIC and Special Expert at Thailand’s Digital Economy Promotion Agency, argued that the value of data increases when different layers can be combined. Accident data, GPS traces, road context and infrastructure information can reveal patterns that would be invisible in isolation.

“Building smarter and more sustainable cities requires more than technology. It requires the ability to connect data across agencies, infrastructure and mobility ecosystems,” he said. “When data can move seamlessly between stakeholders, this can add higher value to cities that can gain deeper insights, improve decision-making and deliver more efficient, safer and citizen-centric mobility services.”

For Bangkok, this is not an abstract ambition. The city’s transport challenges are shaped by density, legacy infrastructure, flooding risks, delivery growth and fragmented public transport options. Better data sharing could support traffic management, emergency response, public transport planning and road safety interventions.

A competitive mapping race

HERE Technologies is not alone in chasing this opportunity. Globally, it competes with Google Maps Platform, TomTom and Mapbox across mapping, location services and automotive navigation. In Southeast Asia, Grab has also built mapping capabilities to support ride-hailing, deliveries and logistics, while Waze remains influential in crowdsourced traffic information.

The competitive landscape reflects a broader shift: mapping is no longer just a consumer app category. It is becoming infrastructure for autonomous driving, urban planning, insurance, logistics, advertising, EV charging and public safety. For Thailand, that means the winning solutions will need strong local data, partnerships with public agencies and the ability to work across messy real-world conditions.

Also Read: Thailand’s AI startup push gets OpenAI backing through new public-private accelerator

The lesson from HERE Directions Bangkok 2026 is that Thailand’s mobility future will depend less on any single technology than on how well different systems talk to one another. EVs, AI-assisted driving and smart city platforms may capture the headlines, but their impact will be limited if roads, vehicles and institutions continue operating on incomplete information.

In Southeast Asia, where mobility is crowded, informal and fast-changing, the next breakthrough may not look like a futuristic car. It may be a better decision made a few seconds earlier — by a driver, a fleet manager, a traffic controller or a city planner.

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Synopsys, A*STAR team up to tackle AI chip packaging challenges

For years, the semiconductor race was largely about making transistors smaller. That contest is far from over, but the AI boom has shifted part of the battleground elsewhere: how multiple chips are assembled, connected and kept reliable inside a single package.

That is the problem Synopsys and Singapore’s Agency for Science, Technology and Research (A*STAR) are now trying to address.

Also Read: The factories are coming. Southeast Asia’s real race is to build what surrounds them

The US-based chip design software company and Singapore’s national research agency have signed a memorandum of understanding to jointly develop advanced semiconductor-packaging and simulation technologies for artificial intelligence and high-performance computing.

The collaboration will focus on advanced packaging and chiplet-based designs. Chiplets are smaller specialised chips that can be combined in one package to function like a larger, more powerful system. Instead of relying on one monolithic chip to do everything, companies can mix and match computing, memory, networking and other functions in a more modular way.

This approach is increasingly important for AI and high-performance computing, where systems need far more processing power, memory bandwidth and energy efficiency than traditional chip designs can easily deliver. But it also creates new engineering challenges. When several chips are packed tightly together, heat, stress, warping and material behaviour become harder to predict.

Synopsys said digital modelling can help assess how a package is likely to perform before companies spend time and money on physical prototypes. In an industry where development cycles are long and fabrication mistakes are expensive, being able to simulate reliability early can make a meaningful difference.

Why packaging now matters as much as design

The collaboration will run through the ASTAR IME-Ansys Joint Innovation Consortium for Semiconductor Excellence, involving ASTAR’s Institute of Microelectronics and Ansys, which is now part of Synopsys. The consortium will act as a platform for companies and researchers to conduct joint research on advanced System-in-Package technologies.

System-in-Package, or SiP, refers to the integration of multiple chips or components inside one package. It is already used in areas such as smartphones, automotive electronics and wearables, but AI computing is pushing the technology to far greater levels of complexity.

The initial phase of the consortium’s work will focus on mechanical design, modelling and analysis. The partners aim to examine issues including package and wafer warping, thermo-mechanical stress, solder-joint reliability and moisture-induced failures in multi-chiplet designs.

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

These may sound like back-end engineering details, but they are central to whether future AI systems can be manufactured at scale. A high-performance chip package may fail if it bends during production, develops microscopic cracks under heat, or suffers from unreliable solder joints over time. For AI data centres, autonomous systems, advanced manufacturing and next-generation consumer electronics, reliability is not optional.

ASTAR IME will lead the consortium’s research, drawing on its semiconductor packaging capabilities and research platforms. Synopsys will provide trial licences to its Ansys simulation software to ASTAR IME and up to 10 member companies. The consortium also plans to explore projects with universities and offer technical training.

That training element is particularly relevant for Singapore and the wider region. Semiconductor ecosystems are not built only on fabs and equipment; they also require engineers who understand materials, design, thermal behaviour, electronics, manufacturing constraints and simulation tools.

Singapore’s semiconductor bet

Singapore has long played an outsized role in the global semiconductor supply chain. It is home to wafer fabrication, assembly and test operations, equipment suppliers, materials companies and regional headquarters for multinational chip firms. While it does not compete with Taiwan or South Korea in leading-edge logic manufacturing, it has positioned itself as a serious hub for specialty chips, advanced packaging, research and manufacturing services.

That positioning matters as the global chip industry becomes more geopolitically fragmented. The United States, China, Europe, Japan, South Korea and Taiwan are all investing heavily in semiconductor capabilities, driven by AI demand and concerns over supply chain resilience. Southeast Asia, meanwhile, has become more important as companies diversify manufacturing footprints and look for politically stable, technically capable locations.

Malaysia is already a major assembly and testing hub, particularly in Penang. Vietnam is attracting interest in chip design and back-end manufacturing. Thailand and the Philippines have existing electronics manufacturing bases. Singapore’s advantage lies in its research institutions, talent base, intellectual-property protections and proximity to both global companies and regional manufacturing networks.

The Synopsys-A*STAR partnership fits neatly into that strategy. Rather than trying to win every part of the chip supply chain, Singapore has been focusing on areas where deep engineering, industry collaboration and applied research can create defensible value.

Terence Gan, Executive Director of A*STAR IME, said advanced packaging is becoming a critical differentiator in chip innovation as systems grow more complex and AI-driven. He added that the collaboration can reinforce Singapore’s position as a semiconductor innovation hub.

Simulation becomes a strategic layer

For Synopsys, the tie-up also reflects how electronic design automation companies are expanding beyond traditional chip design software. The company’s acquisition of Ansys brought simulation capabilities closer to chip and system design, at a time when the boundaries between semiconductor design, packaging and system-level engineering are blurring.

In AI hardware, performance is no longer determined only by the processor. Memory access, interconnects, power delivery, cooling and package architecture all shape the final system. This makes simulation more strategic. Companies need to understand how a design will behave electrically, mechanically and thermally before it reaches production.

Sukhwan Moon, Synopsys Vice President of Asia-Pacific Sales, said the collaboration can support local companies in reliability, performance and scalability, while helping speed time-to-market for AI and high-performance computing technologies.

That time-to-market pressure is intense. AI infrastructure demand has created a rush for more powerful chips, faster networking and more efficient computing systems. Cloud providers, hyperscalers, chip startups and electronics manufacturers are all trying to move quickly, but the hardware cycle remains unforgiving. Mistakes in design or packaging can delay products by months.

The competitive landscape

Synopsys operates in a highly concentrated but fiercely competitive market. Its main global rivals include Cadence Design Systems and Siemens EDA, which also provide chip design, verification and electronic design automation tools. In simulation and engineering software, the enlarged Synopsys now overlaps with companies such as Keysight Technologies, Altair and Dassault Systèmes in certain areas, depending on the application.

Also Read: AI demand lifts Malaysia’s chip sector, but not every player wins

In advanced packaging, competition is not limited to software. Foundries, outsourced semiconductor assembly and test players, and integrated device manufacturers are all building capabilities around chiplets, 2.5D and 3D packaging. TSMC, Intel, Samsung, ASE, Amkor and JCET are among the companies shaping this market globally. For Southeast Asia, this creates both opportunity and pressure: the region can capture more value, but only if it moves beyond low-cost manufacturing into higher-value engineering and research.

A small MoU in a much larger race

The MoU between Synopsys and A*STAR is not a chip factory announcement, nor does it come with the headline-grabbing capital expenditure often associated with semiconductor projects. Its importance lies elsewhere.

Advanced packaging is becoming one of the key ways the chip industry keeps improving performance as traditional scaling becomes harder and more expensive. For AI, where demand for computing power continues to surge, the ability to design reliable multi-chip systems could determine which companies and countries capture the next wave of value.

For Singapore, the partnership strengthens a role it has been cultivating for years: a neutral, research-driven and industry-connected node in the global semiconductor network. For Southeast Asia, it is another sign that the region’s chip opportunity is widening beyond assembly lines.

The future of AI hardware will not be decided only in data centres or wafer fabs. It will also be shaped in the less visible world of packaging labs, simulation platforms and reliability testing — precisely where this collaboration intends to operate.

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SEA’s AI boom has a water problem it cannot offset away

Every hyperscaler courting Southeast Asia now performs the same reassurance ritual. Ask Microsoft, Google, or AWS about the environmental cost of the data centres they are racing to build across the region, and the answer arrives pre-packaged: efficient cooling, renewable offsets, and community engagement.

Worse, tech giants have even started telling reporters that their facilities are “less thirsty” than before, part of a broader industry effort to get ahead of mounting public anger in the US over how much water AI infrastructure consumes.

Also Read: The AI server boom in Southeast Asia: Why data centres are running out of power

That messaging has not yet reached Gelang Patah, a town in Johor, Malaysia, where residents gathered outside a data centre construction site earlier this year holding a straightforward complaint: there was not going to be enough water left for them. It is a small protest that points to a large problem, and Southeast Asia’s AI boosters would rather not dwell on it.

Johor is the test case, and it is already straining

Johor is Southeast Asia’s fastest-growing data centre hub for a reason that has nothing to do with Malaysia’s own digital ambitions. When Singapore froze new data centre approvals between 2019 and 2022 to protect its limited land and water resources, global operators simply moved their plans across the causeway. Johor’s aggregate capacity has since surged towards 5.8 gigawatts, and the state now hosts dozens of operational facilities feeding off a water and power system that was never built for this scale of industrial demand.

The numbers are no longer abstract. A single 100-megawatt facility can consume in the region of 4 million litres of water a day for cooling alone; Johor officials have described hyperscale sites drawing roughly 200 times more water than an ordinary industrial user.

Regulators have responded by rejecting a meaningful share of new applications, raising industrial water tariffs, and telling the largest prospective tenants to wait until at least mid-2027 for guaranteed water and power connections. One estimate puts committed demand from the state’s data centre pipeline at more than 800 million litres a day, against roughly 140 million litres of infrastructure actually capable of delivering it today.

Malaysia’s federal government has all but admitted the model is unsustainable in its current form. Prime Minister Anwar Ibrahim told parliament this year that Malaysia has stopped approving new non-AI-linked data centres altogether, betting that AI-branded projects still qualify for green-lighting even as electricity demand from the sector is projected to climb to nearly a third of the country’s entire power supply by 2035, up from around seven per cent today.

Malaysia is not the exception; it is the preview

Treat Johor as a warning rather than an isolated case, because the same arithmetic is playing out across the region with fewer headlines. Indonesia’s Java-Bali grid, which carries most of the country’s data centre load, was already running near capacity before a single new AI facility came online, and the grid remains roughly 60 to 65 per cent dependent on coal, a fact that sits awkwardly against hyperscalers’ net-zero pledges. Thailand’s data centre power demand reportedly grew fourfold between 2020 and 2024 while generation capacity crept up by less than a tenth of that.

Vietnam, meanwhile, is attracting hyperscale investment on the strength of cheap land and labour even as parts of the country face weekly power cuts during summer peaks.

Also Read: Breaking into the data centre sector: Beyond technical expertise

A recent Bain and Standard Chartered analysis framed this plainly: the binding constraint on Southeast Asia’s AI-driven growth is not capital or ambition, it is the grid itself, and the region’s transmission and distribution networks have not kept pace with the concentrated, high-value demand that data centres represent. Roughly 35 to 45 terawatt-hours of incremental demand is expected across the region’s hubs by 2030 (Singapore, Johor, Bangkok, Greater Jakarta, Manila, and Batam) landing on infrastructure largely designed for a slower, more distributed pattern of growth.

The speculative capacity problem makes this worse

What makes the resource strain harder to justify is that a meaningful share of the demand driving it may not even be real yet. Malaysia’s Energy Commission has found that data centres were drawing less than half of their declared maximum electricity demand as of mid-2025, prompting officials to flag the likelihood of speculative applications — developers reserving grid capacity and water allocations well ahead of actual tenant commitments, effectively queue-jumping scarce resources against uncertain future need.

That is a familiar pattern from past infrastructure bubbles, and it means some of the water and power tension communities are living with today is being generated by capacity that may never be fully utilised.

This is precisely why Johor’s response, however belated, is worth taking seriously as a template rather than dismissing as friction. The state has rejected close to a third of data centre applications over sustainability shortfalls, mandated a shift towards reclaimed wastewater instead of municipal supply for new approvals, and built a dedicated water reuse programme aimed squarely at the industry.

None of that has fully closed the gap between committed capacity and available infrastructure. But it is a materially more honest starting point than the alternative most of the region has defaulted to: approve first, measure the damage later.

Southeast Asia should not import a problem it can still design around

The uncomfortable truth is that Southeast Asia has a genuine opportunity here that most of the world does not. Its AI data centre boom is still young enough that grid interconnection, water accounting standards and siting rules can be built deliberately, rather than retrofitted after the fact the way the United States is now attempting. The ASEAN Power Grid interconnection and philanthropic clean-energy pledges for surrounding communities are steps in the right direction, but they remain medium-term fixes for a strain that is already showing up in tariffs, deferred approvals and community protest today.

Also Read: The US$5 trillion AI data-centre buildout unleashes the paradox that limits its returns

Governments across the region would do well to stop treating data centre investment announcements as unambiguous economic wins and start asking the harder question Johor is now being forced to confront: what does this facility cost the people living next to it, in water, in power, and in a grid that other industries and households also depend on?

The alternative is a region that spent its AI infrastructure boom exporting the same environmental trade-offs Silicon Valley is only now starting to reckon with — except this time, with far less capacity to say no.

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The missing layer in AI innovation: Human verification

Artificial intelligence has dramatically changed the way startups are built.

Today, a founder can describe a product idea, open a tool such as Claude or OpenAI, generate hundreds of lines of code, build a prototype and present it as an “AI-powered innovation” within days. What once required a technical team, months of development and significant capital can now be achieved remarkably quickly.

The barrier to building software has never been lower.

But as the ability to build accelerates, another challenge becomes increasingly important: validation.

AI can generate code, analyse information, summarise complex material and produce remarkably convincing answers. But a convincing answer is not necessarily a correct one. And when AI-generated outputs move from a demo environment into industries where mistakes have real consequences, the difference between “working” and “working reliably” becomes critical.

Healthcare is perhaps the clearest example.

For a healthcare AI startup, the question is not simply whether a model can produce an answer. It is whether that answer is clinically reliable, generated from appropriate data, reproducible across relevant populations and settings, understandable to the intended user, and safe enough to inform a clinical decision.

This is where human-in-the-loop verification becomes more than a safety feature. It becomes part of the product itself.

The clinician is not the bottleneck

There is sometimes an assumption that AI automation becomes more valuable as humans are removed from the workflow. In healthcare, that assumption can be dangerous.

AI can process enormous volumes of information far faster than a human. It can identify patterns across patient records, compare information against large knowledge bases and surface potentially relevant findings. But it does not automatically understand the complete clinical context in which those findings will be used.

A clinician does. That is why the most useful healthcare AI may not be the system that attempts to replace clinical judgement, but the one that augments it.

Regulation is increasingly reflecting this distinction. The US Food and Drug Administration’s January 2026 final guidance on Clinical Decision Support Software clarifies the criteria for certain clinical decision-support functions to qualify as non-device software. One important criterion is whether the software enables healthcare professionals to independently review the basis of its recommendations rather than primarily relying on the software’s output.

Singapore’s Health Sciences Authority has similarly refined its framework for Software as a Medical Device (SaMD) and Clinical Decision Support Software (CDSS), as outlined in its update on SaMD risk classification and CDSS qualification guidelines. Its July 2025 revision added, among other changes, a criterion concerning whether CDSS recommendations are based solely on established clinical guidelines when determining whether software qualifies as a non-medical device.

The message for founders is important: automation does not automatically mean removing the professional from the loop.

Depending on its intended purpose, functionality and risk, software may fall within medical-device regulation or qualify for a non-medical-device pathway. Either way, the product needs to be designed around clearly defined accountability.

The clinician interprets the recommendation, considers the patient’s circumstances and decides whether to accept, modify or reject it.

Also Read: Vietnam’s healthtech boom has a talent problem nobody is talking about

“Accurate” is not enough

AI hallucination is often discussed as a technical problem. In healthcare, it is a product and safety problem.

A generative AI system can produce an answer that is fluent, structured and persuasive while being completely wrong. A fabricated reference, incorrect interpretation of a medical record or inappropriate recommendation could have consequences far beyond a poor user experience.

This means healthcare AI cannot be evaluated simply by asking: “How accurate is the model?”

The more useful questions are: Accurate for whom? Under what conditions? Compared with what reference standard? Using which data? And in which real-world population?

Traditional metrics such as sensitivity, specificity, precision, recall and area under the receiver operating characteristic curve (AUC) remain valuable. But a strong metric on a controlled dataset does not automatically translate into reliable performance in clinical practice.

A model can perform exceptionally well in one dataset and behave differently when exposed to another hospital, patient population, imaging device, documentation style or clinical workflow.

This is why validation must extend beyond the model itself.

It includes the quality and representativeness of the data, external validation, clinical workflows, human factors, usability, monitoring and performance after deployment. For regulated software, lifecycle management, verification and validation, change management and post-market considerations are increasingly important parts of the development process. HSA, for example, maintains a lifecycle-oriented framework for software medical devices alongside its SaMD and CDSS classification guidance.

The new startup moat may be trust

For founders, this creates an important strategic shift.

The competitive advantage of an AI startup may no longer be simply how quickly it can build a model.

If thousands of startups can use the same foundation models and increasingly powerful coding tools, the ability to produce a prototype becomes less differentiated.

The harder question becomes: Can you prove that what you built works?

That proof may become one of the strongest forms of competitive advantage.

A startup that combines AI automation with genuine domain expertise, structured validation, transparent outputs and continuous monitoring can build something considerably more defensible than a product that simply places a large language model on top of an existing workflow.

This is particularly relevant for founders entering regulated or high-stakes industries. Domain experts should not be brought in merely to satisfy an advisory requirement after the product has been built. Their expertise should influence the product architecture, validation strategy, workflow design and definition of failure.

Also Read: Healthtech in South and Southeast Asia – Seeing beyond the “obvious”

Human-in-the-loop should therefore not be viewed as a limitation on AI.

It is a mechanism for making AI deployable.

The best systems will know what to automate, when to request human verification and, critically, when not to provide an answer at all.

From “AI versus humans” to “AI plus humans”

The future of AI in healthcare is unlikely to be a simple contest between artificial intelligence and human intelligence.

It is more likely to be a carefully designed partnership.

AI brings scale, speed and the ability to process enormous amounts of information. Humans bring contextual understanding, professional judgement, ethical responsibility and the ability to challenge an output when something does not look right.

The real innovation lies in designing the interface between the two.

As AI lowers the cost and time required to build software, founders will increasingly be judged on something beyond how quickly they can produce a demo.

They will be judged on whether they can demonstrate that their product works, understand where it can fail, and build the mechanisms to detect and manage those failures.

In an age where almost anyone can build software with a prompt, building is becoming easier. Proving is becoming harder.

And for high-stakes AI, that may be where the real startup advantage lies.

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