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Echelon Philippines 2025 – Hacking the ecosystem: How founders can leverage spaces and hubs to accelerate growth

At Echelon Philippines 2025, a dynamic panel of industry leaders gathered to explore how Filipino startup founders can harness the power of spaces and hubs to fuel their growth.

Moderated by BAMentor Online’s Ben Alderson, the discussion brought together Joey Radovan of JLL Philippines, Paul Pajo of Benilde HIFI, Jojo Flores from Plug and Play Tech Center, and Walter Cang of DOHE Philippines. Together, they unpacked how strategic workspace ecosystems — from incubators to innovation hubs — serve as launchpads for emerging startups, offering not just physical infrastructure but critical networks, mentorship, and resources essential to accelerating entrepreneurial success in the Philippine startup landscape.

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K25.ai bags strategic funding from Nasdaq-listed NIVF at US$100M pre-A valuation

K25.ai, an APAC-focused startup attempting to fuse live streaming, creator monetisation, and prediction markets, has secured strategic backing from Nasdaq-listed NewGenIVF Group Limited (NIVF) at a US$100 million pre-Series A valuation.

The deal includes an initial US$2 million investment from NIVF, an option for the public company to increase its stake to up to US$10 million, and an exclusive APAC agency partnership.

Also Read: Streaming the dream: How live streaming technology can increase access to brands

The funding round and partnership mark an important early endorsement for K25.ai, which says it is building what it calls a “watch-to-predict” information market, a platform where audiences can watch live content, engage with creators and make predictions on real-world outcomes.

What K25.ai says it does

K25.ai combines live-streamed content, creator-led channels, and an AI layer intended to automate the lifecycle of a prediction market: event discovery, market generation, live content analysis, data extraction, and outcome resolution. The platform targets a broad set of live moments — sports, e-sports, entertainment, creator-led challenges, and culturally relevant events — and aims to let audiences participate in timely prediction events in markets where such offerings are legal.

Leadership and pedigree

The company is led by Andy Cheung, a veteran operator in digital platforms and digital assets. Cheung’s résumé includes a tenure as chief operating officer at OKEx (now OKX), where he oversaw the scaling of one of the largest digital asset exchanges, and a stint as CEO of Groupon Hong Kong. He has also advised on or held board roles at Nasdaq-listed Prenetics, focused on digital-asset treasury strategy.

In announcing the partnership, Cheung framed K25.ai’s mission in lofty terms: to become “the Google and Meta of this new era” by creating an “information market layer” powered by AI and live streaming to help people “discover truth in real time.” The language is aspirational and highlights a common strategic ambition among startups trying to combine discovery, social signalling and commerce into a single product.

NIVF’s strategic bet

For its part, NIVF, which operates as a Nasdaq-listed public company, gains exposure to an emerging category and, crucially, an avenue to commercialise K25.ai’s product across permitted APAC markets. The strategic relationship reportedly includes commercial support across Thailand, Singapore, Japan, Australia and New Zealand, while explicitly excluding Mainland China, Hong Kong, Macau and other restricted jurisdictions.

Also Read: Livestreaming done right: How brands can turn viewers into loyal customers

NIVF will take board representation from K25.ai’s co-founders, including Cheung, a move the companies say will align strategy and increase governance connectivity as K25.ai readies itself for potential public-market pathways. NIVF’s chairman and CEO, Siu Wing Fung Alfred, described the investment as a “generational opportunity” and highlighted Cheung’s track record as a primary reason for backing the business.

Regulatory and market constraints

K25.ai’s operating model touches on a legal patchwork. Prediction markets can be treated very differently across jurisdictions — from regulated gambling to financial instruments or prohibited activities — and the firm is explicit that it will only operate where permitted and subject to licensing, registration and regulatory approvals. It also notes that the platform is not offered to US persons or users in Mainland China, Hong Kong, Macau, or other restricted territories.

That caution is sensible given the legal risks. Countries in APAC have disparate regulatory stances on betting, derivatives and information products that replicate financial outcome markets. The firm’s success will depend not only on product-market fit but on its ability to navigate those local rules while maintaining user acquisition and monetisation strategies.

Competition and comparison

K25.ai positions itself in a niche that overlaps with prediction-market specialists, live-streaming platforms, and social apps that gamify interaction. The press materials compare K25.ai’s valuation against selected larger global prediction-market companies, stating that the US$100 million valuation represents approximately 0.27 per cent of those selected public valuation references, a contextual note that neither forecasts future performance nor states comparable outcomes.

The market is not empty: established prediction-market protocols and centralised operators exist globally, and large social platforms have repeatedly experimented with live engagement mechanics and real-money integrations. K25.ai’s differentiator, if any, will rest on the quality of its AI-driven event orchestration, creator relationships in APAC and its ability to offer legally compliant, locally relevant content.

Risks and takeaways

Several risks stand out.

  • First, regulatory uncertainty across APAC could limit addressable markets and complicate scaling.
  • Second, the economics of prediction markets are challenging: liquidity, user retention and fair pricing require substantial user bases and careful product design.
  • Third, building a creator ecosystem locked to prediction mechanics assumes creators will trade time and audience attention for a different monetisation mechanism; history shows creators often gravitate to simpler, proven revenue channels unless a new product clearly outperforms incumbents.

That said, the combination of AI to automate market creation and localised content could carve out a defensible niche, particularly in sports and esports, where regional fandoms are fierce and real-time interest is high. K25.ai’s early strategic capital and NIVF’s regional network give the startup initial runway and credibility. Execution will determine whether this is an incremental experiment or the beginning of a scalable, regulated APAC-focused information market.

Also Read: How AI, AR, and live streaming are changing the online shopping experience

Only time will tell whether K25.ai’s vision of an “information market layer” becomes a practical product that draws mainstream users. For now, the company has the ingredients investors like to see — an experienced founder, a clear product thesis, strategic capital and a public-company partner — but it faces the hard work of turning an ambitious idea into a legally compliant, revenue-generating platform across fragmented APAC markets.

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Why your data warehouse is just a very expensive attic

Let’s admit a painful truth about modern business: we are drowning in information, yet starving for wisdom. We are living in the celebrated age of Big Data, but for most companies, that data is less of an asset and more of an enormous, very expensive digital attic. It is filled with boxes labelled “Customer Clicks,” “Server Logs,” and “Unfiltered Sentiment,” all gathering virtual dust.

The chief executive today can recite the mantra: Data is the new oil. Yet, few seem to grasp that oil, in its raw state, is useless. It must be refined, processed, and channelled with immense strategic effort. Most companies have simply struck a gusher and are now happily swimming in crude. They have the capability to collect everything, but the intellectual discipline to understand nothing.

This isn’t a technical failure; it’s a profound failure of curiosity and strategy. We have outsourced the messy, complex work of data collection to machines, but we have become intellectually lazy about the far more critical task: interrogation.

The lie of the metric dashboard

The primary way most organisations deceive themselves is through the elaborate metric dashboard. It is the comfort blanket of the busy manager, where a constantly scrolling set of numbers is designed to feel like insight. It tracks everything, from website bounce rates to quarterly sales figures.

But a number, in isolation, tells you absolutely nothing. It is merely a symptom. The failure lies in confusing measurement with meaning. Knowing that a particular sales figure is up by ten percent is not strategy; it is accounting. Strategy requires the rigorous, uncomfortable question: Why is it up ten percent? And more importantly: What other, unexpected consequence did that surge produce elsewhere in the business?

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

Most teams simply react to the red or green indicator. The truly powerful use of data comes from the demanding work of connecting the seemingly unrelated dots. It’s analysing customer service transcripts alongside product adoption curves to reveal the unexpected friction point that is sabotaging growth. That requires deep human curiosity, not just faster processors.

From collection to competitive edge

The vast majority of collected data is entirely generic. It is the digital equivalent of market research everyone else can buy. The true competitive edge comes from the few, rare veins of proprietary data that your company alone collects, and your unique systems for leveraging it.

The real gold is in the unstructured data (the written notes, the voice transcripts, the behavioural sequences, etc) that requires sophisticated thinking to organise. This is where most organisations stop short. They collect the data, but then they lack the institutional patience or skill set to translate that noise into a clear signal. They possess the answer to their greatest strategic challenge, but it is buried beneath petabytes of digital clutter.

The essential shift is understanding that data is not a historical archive; it is a forecasting instrument. It is meant to be used to compel action tomorrow, not just explain failure yesterday.

Also Read: Why global capital keeps flowing into data centres in Singapore despite rising costs

The urgency of the question

This is the great contemporary paradox: we have perfect digital recall of every mistake we’ve ever made, yet we keep repeating the same ones. Why? Because the person responsible for the data is often far removed from the person responsible for the decisions.

The modern company must bridge this gap by prioritising the interrogator over the collector. They must empower teams to hunt for the counterintuitive findings, the insights that explicitly challenge current company dogma. If your data analysis simply confirms what everyone already believes, you haven’t done analysis; you’ve just created expensive validation.

The time for hoarding is over. If your organisation possesses massive datasets but still operates primarily on instinct, anecdote, or the loudest voice in the boardroom, you are not technologically advanced; you are simply a very elaborate digital storage facility. The data isn’t the challenge; the courage to act on what it reveals is.

If your greatest strategic answer is buried somewhere in your existing data, what uncomfortable question are you refusing to ask that would finally unearth it?

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

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The US$1M per person revolution: How AI is reshaping Southeast Asia’s startup landscape

Southeast Asian startups are standing at a critical crossroads. While the region’s startup ecosystem continues to raise billions in 2024, a quiet revolution is reshaping how successful companies operate.

The winners of 2025 and 2026 won’t be those with the biggest teams or deepest pockets; they’ll be the startups that master the “One million+ revenue per person” model through intelligent automation.

This isn’t about replacing humans with machines. It’s about amplifying human potential to unprecedented levels, where each team member becomes a revenue-generating powerhouse capable of driving US$1 million or more in annual business results.

The AI acceleration imperative: Why “next few months” means now

The pace of AI development has reached a tipping point that makes 2019’s digital transformation look mild. According to McKinsey’s State of AI report, 71 per cent of organisations are now regularly using generative AI. For Southeast Asian startups, this creates both an opportunity and an existential threat.

The innovators in your fellow startup industry are going to leapfrog over you if you’re too slow and the window for competitive advantage is shrinking rapidly as AI tools become more accessible and powerful.

While some startups struggle with manual content creation, lead qualification and customer research, their AI-powered competitors are simultaneously running 50 personalised outreach campaigns, analysing competitor strategies in real-time, and nurturing hundreds of leads with human-like precision…all with a team half their size.

Pillars of AI-powered revenue generation

Smart Southeast Asian startups are building their competitive moats across 13 critical automation areas. Each represents a multiplier effect that transforms individual team members into revenue-generating machines.

Research and intelligence: The foundation layer

  • Research of social media videos: Tools like Brandwatch and Sprout Social now use AI to analyse millions of video interactions, identifying viral patterns and audience sentiment in real-time. Any company can spot trending topics before competitors and understand what resonates with their target market without watching hours of content manually.
  • Research of social media copy: Platforms like BuzzSumo and Socialbakers leverage natural language processing to analyse conversation patterns across social platforms.
    This allows startups to identify customer pain points, monitor brand mentions, and discover collaboration opportunities at scale.
  • Outbound research: AI-powered tools like Clay and Apollo automate prospect research by aggregating data from multiple sources: LinkedIn, company websites, news articles, and social media, so as to build comprehensive prospect profiles in seconds rather than hours.

Content creation: Scaling your voice

  • Scripting videos: AI scriptwriting tools like Jasper and Copy.ai can generate video scripts tailored to specific audiences and platforms. Combined with data from your research layer, you can create compelling narratives that speak directly to your prospects’ needs.
  • Content writing: Beyond basic copywriting, advanced AI tools now understand brand voice, audience psychology, and conversion optimisation.
    They can produce blog posts, email sequences, and social media content that maintains consistency while adapting to different platforms and audiences.
  • Video generation: Platforms like Synthesia and Pictory enable startups to create professional video content without expensive production teams.
    From product demos to personalised sales videos, AI handles the heavy lifting while they focus on strategy.
  • Image generation: Tools like Midjourney and DALL-E 3 democratise visual content creation. Startups can generate custom graphics, social media visuals, and even product mockups that previously required specialised design teams.

Also Read: How to combat burnout and boost your productivity

Distribution and engagement: Maximising reach

  • Distribution and engagement of content: AI scheduling tools like Later and Hootsuite Insights optimise posting times, hashtag selection, and cross-platform distribution.
    More importantly, they engage with audiences through intelligent commenting and response systems that maintain authentic brand voice.
  • Outbound distribution: Advanced email and LinkedIn automation platforms like Outreach and Lemlist use AI to personalise messages at scale, optimise send times, and adapt messaging based on recipients’ observed behavior patterns.

Sales and conversion: Closing the loop

  • Voice agents: AI voice technology has reached human-level quality. Tools like Dialpad Ai and Gong can handle initial prospect calls, qualify leads, and even conduct basic sales conversations, freeing human team members for high-value relationship building.
  • Lead nurturing: Sophisticated marketing automation platforms like HubSpot and Marketo can now use predictive AI to determine the optimal nurturing sequence for each lead, automatically adjusting content and timing based on behavioral signals.
  • Sales stack: AI-powered CRM systems like Salesforce Einstein and Pipedrive AI provide real-time coaching, predict deal closure probability and automate routine sales tasks, enabling each salesperson to manage and close significantly more opportunities.
  • Automated newsletter: Tools like ConvertKit and Mailchimp use AI to optimise subject lines, personalise content, and determine optimal send frequencies for different subscriber segments, turning newsletters into powerful revenue drivers.

The competitive intelligence advantage

Perhaps the most overlooked opportunity lies in AI-powered competitive intelligence. While most startups sporadically check competitor websites, AI-enabled companies are monitoring:

  • Pricing changes: Tools like Price2Spy track competitor pricing in real-time
  • Content strategy: AI analyses competitor content performance and identifies gaps
  • Job postings: Tracking competitor hiring patterns reveals strategic priorities
  • Social media sentiment: Understanding how audiences respond to competitor campaigns
  • Product updates: Automated monitoring of competitor product launches and features

This intelligence enables rapid strategic pivots and ensures you’re always one step ahead.

Also Read: Myths vs reality: Remote and hybrid managers report high productivity and trust

The Southeast Asian context: Unique opportunities

Southeast Asian startups have distinct advantages in implementing these AI strategies:

  • Mobile-first audience: The region’s mobile-centric user base creates massive datasets for AI optimisation, particularly in social media and messaging platforms.
  • Diverse markets: Our multi-language and multi-cultural audiences provide rich testing grounds for AI personalisation at scale.
  • Government support: Countries like Singapore and Malaysia are actively promoting AI adoption through an array of grants and support programs, reducing strategy and implementation costs.
  • Growing digital infrastructure: Improving internet connectivity and digital payment systems create fertile ground for AI-powered customer experiences.

Implementation strategy: Start small, scale fast

The key to successful AI implementation isn’t trying to automate everything at once. Smart startups follow a strategic sequence:

  • Begin with research: Implement social and competitor research tools to understand your market better
  • Automate content creation: Scale your content output to increase brand visibility
  • Optimise distribution: Ensure your content reaches the right audiences at optimal times
  • Enhance sales processes: Use AI to qualify and nurture leads more effectively
  • Integrate systems: Connect all tools for seamless data flow and maximum efficiency

The cost of inaction

The startups that hesitate face a compounding disadvantage. According to a October 2024 Boston Consulting Group study, AI leaders over the past three years have achieved 1.5 times higher revenue growth, 1.6 times greater shareholder returns, and 1.4 times higher returns on invested capital.

In Southeast Asia’s competitive startup landscape, where funding is becoming more selective and customer acquisition costs are rising, the efficiency gains from AI aren’t just advantages anymore. They’re now survival necessities.

Conclusion: The time is now

The “One million+ revenue per person” model isn’t a distant possibility for most, it’s happening today among startups that have embraced AI-powered automation. The tools exist, they’re increasingly affordable, and the competitive advantages are clear.

The question isn’t whether AI will transform how startups operate in Southeast Asia. The question is whether your startup will be among those leading the transformation or struggling to catch up.

The next few months will separate the winners from the also-rans. The choice, and the time to act, is now.

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

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Generalist or specialist? Building future-proof skills in the age of AI

For decades, the safest career path was simple: join a large corporation, climb the ladder, and let scale and brand reputation shield you from risk.

But AI is rewriting that script. Corporates are automating whole job tiers — customer service, data entry, even junior coding roles. Where once thousands of entry- and mid-level roles were the training ground for future managers, now software eats the repetitive layers.

If corporations no longer absorb as much of the workforce, what happens next?

The future may belong less to sprawling headcounts and more to small, high-output teams — SMEs and startups that can combine AI systems with fractional, remote talent to scale globally without scale in payroll.

The generalist dilemma

Generalists thrive on flexibility. They pivot quickly, learn new tools, and can hold multiple hats. In fast-changing industries, this makes them valuable.

But here’s the risk: shallow generalism is where AI strikes first. Email drafting, basic analytics, social media scheduling — the tasks that junior generalists once owned are now automated.

Survival depends on moving beyond “task doer” into connector, strategist, and problem-solver — the human glue between AI systems and business goals.

Also Read: Value creation: When startups die surrounded by capital

The specialist dilemma

The case for specialisation

Specialists possess deep expertise in a specific domain. In fields such as medicine, engineering, or data science, this depth is essential for solving complex problems and driving innovation. AI is accelerating the demand for specialists who can design, implement, and refine advanced technologies.

Advantages of specialisation:

  • Mastery of complex, technical subjects
  • Higher demand in niche roles
  • Ability to command premium compensation
  • Recognition as an expert in the field

However, hyper-specialisation can also create vulnerabilities. As AI automates routine and even some advanced tasks, narrowly focused roles may become obsolete or require constant upskilling.

Specialists stand out with deep expertise. They know a field inside out, and their credibility is built on mastery.

But here’s the trap: if your speciality is codable, you risk obsolescence. Junior developers, paralegals, bookkeepers — entire ladders are being shortened as AI handles entry-level work faster and cheaper.

To stay relevant, specialists must climb “up the stack” into roles AI can’t yet replace: system architects, negotiators, leaders of complex, ambiguous projects. Depth remains an asset, but only if paired with the ability to adapt.

The T-shaped answer: The big shift

The workers — and companies — that thrive will be T-shaped:

  • Breadth across domains to stay adaptable.
  • Depth in one or two areas to stay differentiated.

Example: A business developer with broad skills in outreach, project management, and digital tools — but deep mastery in regional B2B expansion.

For SMEs, this thinking scales up: build teams that are lean, cross-functional, but anchored by specialists who set direction and operators who adapt.

Also Read: Entering post-unicorn phase, Indonesia signals a structural reset in startup investment

Corporates shrink, SMEs rise

If corporates stop hiring armies of juniors, where will talent go?

  • SMEs and startups will increasingly act as the “new training ground.” Leaner, hungrier, and willing to take bets on remote workers, they’ll scoop up talent that corporates no longer absorb.
  • Remote and fractional work becomes the bridge. Instead of one full-time job, many professionals will build careers across multiple SMEs, platforms, or projects.
  • AI + small teams will compete with big enterprises. A five-person SME with automation and offshore operators can now do what used to require a 50-person department.

The real winners will be SMEs that design teams like portfolios — specialists setting standards, generalists driving execution, and AI filling the gaps.

How to prepare

For individuals:

  • Build a core speciality that anchors your credibility.
  • Layer generalist skills (AI tools, cross-cultural collaboration, digital literacy) to stay versatile.
  • Think globally — your next role may not be in your country, or even in one company.

For SMEs:

  • Don’t mimic corporates with bloated teams.
  • Use AI as the back office, remote operators as the muscle, and local specialists as the brain.
  • Build a system where small teams punch above their weight — faster, leaner, and cheaper than corporates can move.

Conclusion

The future worker isn’t choosing between generalist or specialist — they’re choosing to become both.

The future company isn’t competing on headcount — it’s competing on systems, talent mix, and speed of execution.

As corporates shrink, SMEs have the chance to step up as the engines of growth — building global businesses with teams that look small on paper, but deliver like giants.

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

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SpaceX just validated Bitcoin with US$1.4B treasury and Wall Street is taking notice

After days of relentless selling pressure, equity indices around the world staged a powerful rebound, touching nearly every corner of the financial landscape. The catalyst was not a single event but rather a series of positive developments that collectively eased the suffocating grip of inflation fears and geopolitical uncertainty that had gripped investors for weeks.

The numbers tell a compelling story. The Dow Jones Industrial Average surged past the historic 50,000 mark for the first time, closing at 50,009.35 with a gain of 1.31 per cent. This milestone represents more than just a psychological barrier breached. It signals that investors are willing to look past near-term volatility and focus on the underlying strength of corporate America. The S&P 500 followed suit, climbing 1.08 per cent to 7,432.97, effectively halting a troubling three-day slide that had many strategists questioning whether the bull market had finally run its course.

What struck me most about this rally was its breadth. The NASDAQ Composite led major US indices with a 1.54 per cent advance to 26,270.36, buoyed by strength in chipmakers and technology megacaps. The Russell 2000 truly stole the show, jumping 2.56 per cent to 2,817.36. This outperformance of smaller companies suggests that borrowing stress, which had been crushing smaller firms with variable-rate debt, is finally cooling. When small caps rally like this, it indicates a healthy rotation rather than a narrow rally driven by a handful of mega-cap names.

The corporate earnings backdrop provided essential fuel for this rebound. NVIDIA reported a staggering US$81.6 billion in quarterly revenue, a record that underscores the insatiable demand for artificial intelligence infrastructure. While the stock experienced choppy after-hours trading as investors debated valuation, the sheer magnitude of the number cannot be ignored. Samsung Electronics shares spiked nearly 7 per cent to an intraday record after the company successfully negotiated a tentative pay deal with its labour union, averting a potentially devastating factory shutdown. In the consumer sector, Target delivered a 32 per cent jump in adjusted earnings per share and doubled its growth forecasts, though management wisely cautioned about stretched consumer budgets. Lowe’s posted a solid 10.3 per cent sales increase, suggesting the housing market retains underlying resilience despite higher mortgage rates.

Also Read: Bitcoin ETFs just lost US$1B: What smart money knows that you don’t

Perhaps the most significant development came from an unexpected source. SpaceX filed its official S-1 registration statement with the Securities and Exchange Commission, revealing a Bitcoin treasury of 18,712 coins worth over US$1.4 billion. The company acquired these holdings at an average cost of US$35,000 per coin, resulting in a massive unrealised gain. This disclosure from Elon Musk’s flagship company provides powerful validation of Bitcoin as a legitimate corporate reserve asset, reinforcing the institutional adoption narrative that has been building for years.

The cryptocurrency market responded enthusiastically. Bitcoin climbed 1.40 per cent to US$77,799.84 over a 24-hour period, while the total crypto market capitalisation rose 1.54 per cent to US$2.59 trillion. What intrigues me is the correlation data. Bitcoin now shows an 80 per cent correlation with the S&P 500 and an 85 per cent correlation with Gold. This suggests that cryptocurrency has matured into a macro-driven asset class that moves in tandem with traditional risk assets and inflation hedges, rather than existing in its own isolated ecosystem.

The rally was not purely fundamental. A technical short squeeze played a crucial role, with US$22.54 million in short liquidations over 24 hours, forcing bearish traders to cover their positions rapidly. Shorts accounted for 71 per cent of the US$31.77 million in total Bitcoin liquidations, creating immediate buy-side pressure that propelled prices higher from the US$76,000 support zone. This mechanical dynamic, combined with fresh buying interest, created the conditions for a powerful bounce.

Also Read: Oil spikes, bonds crash, Bitcoin drops: Here is what comes next

International markets joined the celebration with even more enthusiasm. The Nikkei 225 in Japan soared 3.46 per cent to 61,872.35 on optimism surrounding Middle East peace progress, while South Korea’s KOSPI exploded higher by 5.80 per cent following a major domestic technology labour resolution. These moves were not random. President Trump’s decision to pause immediate military options against Iran in favour of diplomatic mediation sent Brent crude prices tumbling 5.6 per cent to the US$105.78-US$108.39 range. This sharp decline in oil prices brought immediate relief to inflation-sensitive sectors and helped the US 10-year Treasury yield slide 10 basis points back below the 4.60 per cent mark, currently sitting at 4.67 per cent.

President Trump’s executive order on May 19, directing regulators to review fintech and crypto access to payment systems, added another layer of positive sentiment. This regulatory clarity, combined with capital rotation into specific narratives like privacy coins, where ZEC jumped 18 per cent, and DASH gained 16 per cent, demonstrates that traders are seeking opportunities beyond simple market beta.

Also Read: Bitcoin just rallied on regulation: Why the CLARITY Act changes everything

Looking ahead, the technical picture suggests cautious optimism. Bitcoin must hold above US$76,000 to maintain its bullish momentum, with US$78,822 as the next hurdle. For the broader crypto market, holding the US$2.59 trillion pivot is essential before testing US$2.66 trillion in resistance. The real test will come on May 30 with the US PCE inflation data, which could either validate this relief rally or send markets back into turmoil.

What strikes me most about this market action is the maturation we are witnessing. Cryptocurrency now moves in lockstep with traditional macro drivers. Small caps can rally alongside mega-cap tech. Corporate Bitcoin treasuries are becoming normalised rather than controversial. We are seeing the emergence of a more integrated, sophisticated financial ecosystem where digital and traditional assets coexist and respond to the same fundamental forces. The question now is whether this cohesion can survive the next wave of economic data.

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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One size fits none: Why SEA’s SMEs need vertical payment stacks

Southeast Asia’s SME economy is often discussed as if it were a single market with a single set of digital needs. It is not. A retailer grappling with refunds in Jakarta does not need the same payments stack as a restaurant managing dine-in, delivery, and click-and-collect in Bangkok, or a services business in Singapore trying to automate recurring billing.

That is one of the clearest takeaways from How Southeast Asia Buys and Pays 2026: Unlocking SMEs’ Potential by IDC and 2C2P. The study argues, implicitly but unmistakably, that generic payment products are increasingly out of sync with how Southeast Asia’s SMEs actually operate. If the region’s next wave of fintech growth is to come from SMEs, it will likely come from more vertical-specific infrastructure, not broader one-size-fits-all checkout tools.

Also Read: Why Southeast Asia’s SMEs are falling out of love with bank-led payments

The numbers back that up. Retail, food and beverage, and services SMEs are all digitising, but under very different operational constraints.

Retail’s problem is not just collecting payments

Retail SMEs in Southeast Asia contribute an average of 13 per cent of total GDP, according to the study, and they sit in the most visibly digitised part of the SME economy. E-commerce platforms, social commerce, marketplaces, and plug-and-play storefront tools have lowered the barrier to entry. But they have also created a new payment mess.

The report shows that 81 per cent of retail SMEs use e-commerce platforms, plugins, or add-ons for online sales. That sounds like a healthy adoption. But the convenience comes with trade-offs. Among retail SMEs, 64 per cent cite limited payment options as a challenge when accepting payments through those platforms, 59 per cent point to security or fraud concerns, and 56 per cent cite high fees or costs.

That is a striking trio of complaints. The very tools that help SMEs get online quickly may also be the ones that constrain conversion and margins once those businesses start scaling.

Then there is the refund problem. Across Southeast Asia, 31 per cent of retail SMEs say returns and refunds affect their payment operations. The pain is especially acute in Indonesia and Malaysia, where the figure rises to 48 per cent and 44 per cent, respectively. In Singapore, it is 37 per cent.

That matters because returns are not a side process in e-commerce. They are part of the customer experience, the cash-flow cycle, and the back-office workload. Yet many SME payment setups are still designed mainly for the initial transaction, not what happens when a sale goes wrong.
Fraud is the other operational tax. Across the region, 55 per cent of retail SMEs say 1 per cent to 5 per cent of transactions turn into fraud or chargeback cases. In Singapore, the proportion reporting that level of incidence rises to 67 per cent. Those are not trivial leakages. They are margin erosion disguised as operating friction.

Retail does not need payment acceptance. It needs payment systems that are built for post-transaction chaos.

F&B lives or dies by channel complexity

Food and beverage SMEs face a completely different set of pressures. The sector contributes around 6 per cent of Southeast Asia’s total GDP and employs an estimated 15 million people, but its digital challenge is less about fraud or refunds than about handling fragmented consumer journeys.

Also Read: Southeast Asia’s digital payments boom has a dirty secret: SMEs still love cash

The report paints a picture of a sector trying to manage dine-in, takeaway, delivery, self-service kiosks, and online order-and-collect flows all at once. That creates an omnichannel payments challenge that many generic providers are poorly equipped to solve.

Across Southeast Asia, 43 per cent of food and beverage SMEs already support online payment and collect at the store through a website or app. At the physical counter, 39 per cent support card payments and 27 per cent support QR code payments. At the table, 31 per cent support card payments and 26 per cent support QR code payments. Even self-service kiosks are generating their own payment mix, with 26 per cent supporting cards and 25 per cent supporting QR payments.

This is not just about offering more ways to pay. It is about reconciling multiple channels, hardware formats, and workflows without adding headcount or operational confusion.

The future demand signals are even more telling. In Malaysia, 56 per cent of food and beverage SMEs want to support online payment and collect at the store in future. In Vietnam and Thailand, that figure is 48 per cent. In Singapore, 47 per cent want better support for card payments at the counter, while 35 per cent want QR code payments at the counter.

The obvious reading is that food and beverage SMEs are not simply digitising payments. They are redesigning the service journey. And when labour shortages and delivery platform competition are already squeezing margins, clunky payment infrastructure becomes a direct drag on resilience.

What this vertical needs is not another generic payment gateway. It needs orchestration across the full stack: in-store, at-table, kiosk, app, and delivery-linked flows.

Services SMEs are still under-automated

If retail is about post-transaction complexity and food and beverage is about channel complexity, services SMEs face automation complexity.

The services segment accounts for around 12 per cent of Southeast Asia’s total GDP, and the report suggests it remains the most under-digitised of the three verticals studied. Many businesses still rely on manual or outdated systems for accounting, governance, customer management, tax, and payments.

Recurring billing is the clearest example. Across the region, only 47 per cent of services SMEs use recurring payment solutions. Usage is higher in Indonesia at 57 per cent, Vietnam at 55 per cent, and Malaysia at 52 per cent, but much lower in Singapore at 38 per cent and Thailand at 39 per cent.

That is surprising, because recurring payments are one of the most obvious ways for service businesses to reduce churn, improve cash-flow predictability, and cut administrative labour. Yet in many cases, SMEs still appear to be processing repeat transactions manually.

The integration data is just as revealing. Across Southeast Asia, only 37 per cent of services SMEs have integrated bookings with their payment technology. The figures fall further for returns at 26 per cent, cancellations at 24 per cent, and refunds at just 14 per cent.

That last number is especially telling. Refunds are often where operational pain becomes most visible to customers, yet they remain the least integrated payment process in the services segment.

The broader issue is that many service businesses are using payments as a bolt-on, not as part of an integrated operational system. That creates inefficiency on both sides of the transaction: more manual work for the business and more friction for the customer.

The next fintech winners will likely look more vertical

The report does not say this outright, but it points strongly in one direction: the horizontal fintech pitch is weakening.

For years, the standard approach was to sell SMEs generic payment acceptance with some localisation layered on top. But as sectors digitise differently, the gaps are becoming more visible. Retail needs better refund and dispute flows. Food and beverage needs channel unification. Services needs recurring billing and process integration.

Also Read: SEA’s SMEs are global in ambition but stuck at checkout

That does not mean horizontal providers disappear. It means the winning products will increasingly be those that feel vertical even if the underlying rails remain horizontal.

For startups, this is less a warning than an opportunity. Southeast Asia’s SME market is huge, but it is not uniform. Founders who keep treating it as a single broad payments category may find adoption and retention harder than expected.

The smarter bet is that the next meaningful gains will come from solving the exact operational pain of a specific segment, then building outward from there.

In Southeast Asia, generic fintech is starting to hit the limits of generic thinking.

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Echelon Philippines – From niche to necessity: What Kindred Health teaches us about building tech for Filipino users

At Echelon Philippines, Maansi Vohra of Monk’s Hill Ventures sat down with Jessica de Mesa-Lim, Founder and CEO of Kindred Health, for an insightful fireside chat on building an omnichannel product tailored to the Philippine market — with a sharp focus on women’s healthcare.

De Mesa-Lim walked through her approach to product development, which begins with deep consumer research, including focus group discussions designed to surface real pain points and unmet needs. From there, the work becomes about crafting solutions that genuinely meet women where they are.

A central theme throughout the conversation was consumer education — de Mesa-Lim believes that when women are informed and empowered about their own health, they become the strongest advocates for their own care. That shift in awareness, she argues, is ultimately what drives adoption and long-term engagement with Kindred Health’s services.

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Doozy’s humanoid fleet goes global; US and GCC in sights

Singapore’s Doozy Robotics has announced an aggressive global expansion into the United States, the Gulf Cooperation Council, and Asia as it prepares for a Series A.

The startup, which builds humanoid and autonomous-vehicle fleets controlled by a central orchestration layer called Eywa-OS, is pivoting hard into a subscription-first model and pitching itself as a solution to chronic labour shortages in manufacturing and logistics.

What Doozy is selling

Doozy isn’t offering single-purpose machines. Its stack combines an industrial super humanoid, autonomous mobile robots (AMRs), and autonomous forklifts, all governed by Eywa-OS. The software converts high-level production goals into task assignments, dynamically reallocating resources across the floor and reacting to disruptions in real time. The industrial humanoid is slated to launch in Q3 2026, with deployments set to follow.

Also Read: The humanoid robot economy is no longer science fiction

The package is intentionally vertical: hardware, fleet orchestration, and a robot-as-a-service model rolled into one. Customers subscribe to a multi-agent workforce every month and can scale capacity up or down as demand changes, shifting automation from capital expenditure to an operational cost.

The labour thesis

Doozy frames its push around a long-running demographic squeeze and tightening labour markets. The company points to projections that labour constraints in the US could shave more than US$1 trillion off GDP by 2030 and notes that nearly half of American workers are over 45 while Gen Z accounts for roughly eight per cent of the workforce. In that context, Doozy argues facilities will need agentic automation that operates like an intelligent factory manager.

“The global labour shortage is a structural shift, not a temporary imbalance,” said co-founder and CEO Suresh Chandrasekar. “We are building the Physical AI workforce that will power the next era of manufacturing.”

Commercial traction: impressive, but caveated

For a seed-stage company, Doozy’s commercial claims are eye-catching. It says it has a qualified global pipeline exceeding US$200 million, a US$144 million memorandum of understanding (MOU) with a major industrial conglomerate, and a large pilot underway with a US pharmaceutical leader. Doozy lists paying customers across two continents, naming Daimler, Carrier and VitaQuest among its engagements.

Cocoon Capital, an early investor, has publicly backed the company’s traction. “They have cracked some of the most persistent bottlenecks in industrial robotics, such as seamlessly navigating uneven floors and disorganised spaces, and reducing the operational footprint by 50 per cent compared to traditional forklifts,” said Michael Blakey, managing partner at Cocoon. He also called Doozy’s pricing a driver of “inevitable” mass-market adoption.

Also Read: 🤖Rise of the machines: 20 robotics startups shaping Southeast Asia’s future

Those metrics deserve scrutiny. A qualified pipeline is not revenue; an MOU signals intent rather than a binding order; and pilots often fail to convert. Investors and potential customers will watch conversion rates from pilot to production deployments, how subscription pricing compares to traditional capex models over time, and the real-world economics of operating humanoid fleets.

Engineering and regulatory hurdles

Humanoids promise dexterity and adaptability where wheeled robots fall short, but they add engineering complexity. Challenges include robust manipulation, battery life, component wear, safety, and maintaining uptime in gritty, industrial environments. Doozy claims its systems can handle uneven floors and cluttered spaces, a key advantage in older warehouses that were not designed for automation.

Safety and regulation are another hurdle. Standards and certification requirements vary across the US, GCC and Asia; integrating humanoids alongside human workers will demand a high bar for safety assurance.
Doozy’s global push will test whether its technology can meet disparate regulatory requirements without eroding margins or slowing deployments.
The economics of subscription robotics

Turning automation into an operational expense is compelling for capital-constrained manufacturers. Doozy’s multi-agent subscription model promises elasticity: scale robots up during peaks, scale down when demand falls. The model also bundles maintenance and software upgrades, theoretically lowering friction for adoption.

However, lifetime customer value and unit economics are critical. Humanoids may have higher maintenance and component costs than simpler AMRs. Supply-chain pressures on actuators, sensors and specialised parts could affect uptime and service costs. The viability of the subscription model hinges on predictable reliability and compelling total cost of ownership compared with manual labour or incumbent automation.

Competition and market timing

Doozy enters a crowded field. Traditional robotics giants, AMR specialists and a growing cohort of humanoid and legged-robot startups are all racing for customers. Doozy’s differentiators are vertical integration and Eywa-OS, which could simplify deployments and enable cross-agent coordination. But the company must prove these advantages at scale and across multiple industries.

Also Read: China’s humanoid robot leader AGIBOT sets sights on Southeast Asia

The planned Series A will be a bellwether for investor appetite in capital-intensive, humanoid-first automation. If Doozy converts a meaningful share of its pipeline into long-term contracts and demonstrates repeatable deployments, it could secure the capital needed to scale hardware production, service infrastructure and international operations. If not, the path forward will be tougher.

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Touchstone partially exits solar startup Stride after US$15M Series B

Touchstone Partners founding team

Touchstone Partners, a Vietnam-focused climate-tech venture firm, has made a partial exit from Stride, a distributed solar platform for households and micro, small and medium-sized enterprises (MSMEs) in Vietnam, following the startup’s successful Series B raise.

Stride closed a US$15 million Series B co-led by Lightrock and TRIREC via the Accelerate7 platform, with existing backers Clime Capital’s SEACEF II and UOB Venture Management’s Asia Impact Investment Fund II also reinvesting. The financing has prompted at least one early investor to monetise part of its holding, reflecting growing interest in commercial-scale distributed solar in Southeast Asia.

A quick backstory

Touchstone and Clime Capital co-led Stride’s US$2 million seed round in 2023, among the earliest institutional bets on Vietnam’s residential distributed solar market. Since then, Touchstone, which specialises in climate-tech and impact-driven businesses, says it has provided strategic support, fundraising help and introductions to policy and corporate stakeholders while working alongside Stride’s founding team.

Also Read: Stride lands Series A funding to power rooftop solar expansion in Vietnam

Stride’s footprint has expanded substantially: the company now claims operations across north, central and south Vietnam, supported by more than 75 verified engineering, procurement and construction (EPC) subcontractors. Touchstone says Stride has nearly tripled its project portfolio since the seed round and has become Vietnam’s largest platform for residential solar installations.

Why the partial exit matters

Partial exits from early-stage venture funds are noteworthy for several reasons. For limited partners, they provide realised returns and proof that the fund can return capital; for the fund, they free up deployment capacity to back new opportunities. For the market, such exits signal maturation: capital is being recycled from early backers into new deals within the same ecosystem.

“Since we have invested, the company has grown 7.25x in valuation,” Tu Ngo, General Partner at Touchstone Partners, said in a statement. She framed the exit as validation of Touchstone’s thesis that locally built climate solutions can generate both commercial returns and emissions impact, a claim consistent with rising investor appetite for Southeast Asia climate plays.

The figures behind the headline

Stride’s Series B of US$15 million is a meaningful vote of confidence from international and regional investors. Lightrock, a global investor that has backed climate and health tech, and TRIREC, an investment vehicle that uses the Accelerate7 platform,co-led the round. The participation of Clime Capital and UOB Venture Management, both of which reinvested, underscores continued support from regionally focused impact investors.

Touchstone’s partial sell-down comes after a 2023 seed investment of US$2 million that helped Stride scale its operations. Touchstone did not disclose the exact quantum of capital realised in the partial exit, nor the post-money valuation implied by the Series B, standard practice when exits involve negotiated secondary purchases.

What this says about Vietnam’s distributed solar market

Vietnam sits at an inflexion point in distributed renewable energy. Rising energy demand, frequent grid constraints, and a policy environment increasingly focused on decarbonisation have created fertile ground for rooftop and small-scale solar models. However, deployment has long been held back by financing, standards, and fragmented supply chains.

Stride’s model, a marketplace-style platform that aggregates EPC partners and focuses on households and MSMEs, tackles two of those constraints: professionalising installation supply and simplifying customer acquisition. Growing to a network of more than 75 vetted EPC subcontractors suggests the company has solved at least some of the operational challenges that often plague fragmented markets.

Also Read: Lightrock bets US$500M on energy access play across SEA’s unelectrified millions

Yet the market is not without risks. Household and MSME adoption depends on affordable financing, stable incentives, and consumer trust in installation quality and after-sales service. The participation of a range of investors in the Series B indicates confidence in Stride’s ability to manage these risks. Still, competition from utilities, specialised solar providers and other platforms will intensify as capital flows into the space.

Investor strategy and sectoral signal

Touchstone’s move also reflects a broader pattern among early-stage climate funds in Southeast Asia: backing local founders through product-market fit and early scaling, then recycling capital as winners consolidate. By partially exiting a portfolio company after a successful institutional round, the firm increases its dry powder to chase adjacent opportunities in mobility, energy efficiency, clean production and other climate-tech verticals.

Touchstone’s portfolio includes companies such as Selex Motors and Enfarm, positioning the fund across mobility and agri-tech as it seeks to capture multiple vectors of the green transition in Vietnam. The firm also runs the Net Zero Challenge with Temasek Foundation, an initiative intended to bridge funding gaps for green-economy startups, further signalling its role as a catalytic investor in the local climate ecosystem.

What remains unanswered

Important operational and financial details around Stride were not disclosed in the announcement. Key unknowns include:

  • The precise amount Touchstone realised from the partial sale.
  • Stride’s revenues, profitability metrics or unit economics on residential and MSME installs.
  • The company’s roadmap for growth outside Vietnam, if any, and capital allocation plans following the Series B.

These gaps matter for assessing whether Stride’s growth is primarily driven by demand or by favourable capital markets. They also affect how one reads the exit: validation of a durable business model versus a timely secondary sale enabled by strong investor appetite for climate-linked growth stories.

Broader implications for the region

Southeast Asia has become a target for climate-first capital, with distributed solar an obvious entry point. Solar complements other decarbonisation strategies and can be deployed rapidly compared with large grid-scale projects, making it attractive to both impact and growth investors.

The participation of global and regional players in Stride’s round underscores two trends. First, foreign capital is comfortable backing Vietnam’s climate startups when founders demonstrate scalable operations and clear go-to-market strategies. Second, re-investment by existing regional funds signals belief in the company’s execution, not merely a de-risking by new entrants.

What to watch next

  • How Stride deploys the new capital: whether it focuses on deeper penetration in Vietnam, moves upmarket to commercial and industrial clients, or invests in financing solutions for customers.
  • The competitive response: whether utilities and incumbent solar installers consolidate or partner with platforms like Stride.
  • Follow-on exits: whether Touchstone and other early backers exit further as Stride matures toward eventual larger liquidity events.

Also Read: Clime Capital, Touchstone Partners inject US$2M into Vietnamese cleantech startup Stride

For now, Touchstone’s partial exit is a modest but useful data point: investors are willing to both fund and monetise distributed solar bets in Vietnam, suggesting the sector is moving from pilot phase toward commercial scale. That, in turn, could accelerate a wave of follow-on funding and operational consolidation across Southeast Asia’s rooftop solar market.

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