JP Morgan Chase (JPMC), the world’s largest bank by market capitalisation, has acquired Sri Lankan fintech startup WealthOS for an undisclosed sum.

The deal — first reported by The Examiner — is described as a buyout of all existing shareholders, enabling both investors and employees to cash out.

Also Read: From civil war to innovation: nVentures’s Chalinda on the rise of Sri Lanka’s entrepreneurship

While the price tag has not been made public, a source familiar with the transaction told The Examiner that the deal is larger than the London Stock Exchange Group’s acquisition of MillenniumIT, which was valued at US$30 million in 2009. If accurate, that puts WealthOS in the mid-eight-figure-plus exit range, marking one of the most significant outcomes in Sri Lanka’s modern startup ecosystem.

What WealthOS does

Founded in late 2019 by Anton Padmasiri and Chamat Arambewela, UK-incorporated WealthOS builds software that helps financial institutions run wealth management digitally. Rather than being a consumer investing app, it is closer to “infrastructure”: the kind of platform a bank or wealth manager uses behind the scenes to onboard clients, manage portfolios and products, automate workflows, and integrate with other systems via APIs. It enables a wealth business to operate at scale without constantly patching legacy technology.

The fintech currently employs over 50 people in Sri Lanka and four in the UK. Barclays and Singapore- and Sri Lanka-based nVentures are also its investors.

“This is the fund’s [nVentures] second successful exit. From the start, our focus has been on identifying exceptional founders early, supporting them closely, and staying engaged as they build. Outcomes like this reinforce our approach to early-stage investing and the kind of long-term value we aim to build as a fund,” said nVentures’s Managing Partner Chalinda Abeykoon in a LinkedIn post.

Why JP Morgan Chase is acquiring WealthOS

For JPMC, the strategic logic is straightforward: banks increasingly compete on the quality and speed of their digital wealth experiences, and modernising wealth infrastructure internally can take years. Acquiring a platform like WealthOS can deliver three immediate advantages.

1. Speed: Buying a functioning product and a delivery team shortens timelines for upgrading or launching digital wealth capabilities.
2. Architecture: A platform built in the past few years is typically more API-friendly and easier to integrate than older, monolithic wealth stacks.
3. Talent and execution: Sri Lanka has a reputation for strong engineering, and an established Colombo-based team can accelerate delivery while reducing build risk.

How big a deal is this for Sri Lanka’s exit track record?

Sri Lanka is rich in technical talent and respected tech companies, but large, clean, venture-style exits remain uncommon.

Also Read: Small market, big dreams: Meet the 30 Sri Lankan startups that are punching above their weight

The Examiner report notes that WealthOS is the “fourth major exit” following MillenniumIT, WSO2, PickMe, and Ncinga. One clearer Sri Lanka-linked fintech acquisition in recent years is Kaiju Labs, which was acquired by KAST Finance in November 2024. Against that backdrop, a JPMC acquisition of WealthOS would stand out not only for size but also for the buyer: a global-tier financial institution, not a regional consolidator.

Sri Lanka’s startup scene and fintech’s evolution over the past 4-5 years

Sri Lanka’s startup ecosystem is best characterised as small but technically strong, with a concentration in software and product engineering, enterprise IT, and fintech-adjacent categories such as commerce enablement. The country has hundreds of active startups, supported by hubs and industry bodies such as Hatch and SLASSCOM-linked programmes, alongside public-sector-linked initiatives that have aimed to catalyse entrepreneurship and digital adoption.

Fintech in particular has evolved rapidly since roughly 2020, driven by three forces: COVID-era digitisation, the push for more efficient payment and commerce infrastructure, and the behavioural shift accelerated by the economic crisis, which encouraged merchants and consumers to adopt more trackable, cash-light options.

Who are the top fintech players to watch in Sri Lanka?

Sri Lanka’s fintech landscape spans payments, merchant enablement, lending/BNPL, and wallet ecosystems. Notable names frequently cited by market watchers include:

• PayHere (online payments and SME merchant tooling)
• Koko (consumer credit/BNPL-style product)
• Mintpay (BNPL pioneer, now part of Atome Financial)
• Genie (a major wallet/super-app product backed by an incumbent; influential even if not a classic VC startup)
• LankaPay (not a startup, but critical national payments infrastructure that many fintechs build atop)

What the WealthOS deal could change

If the reported details hold, it could be a confidence event for Sri Lanka’s startup ecosystem. Employee and early-investor liquidity can seed a “second generation” of founders and angels, strengthening the local capital and mentorship layer. It also reinforces the country’s positioning as a place that can produce globally relevant financial infrastructure products, not just engineering services.

Also Read: Re-awakening Sri Lanka’s legacy of innovation: The story of TRACE

In practical terms, the deal signals that the path from Colombo-based product development to global outcomes is real, and that may be the most important datapoint for founders and investors watching Sri Lanka’s next wave.

“JPMorganChase’s acquisition of a company entirely powered by Sri Lankan talent is a strong signal of our island’s ingenuity. It raises confidence across the ecosystem and sets a higher bar for founders building globally from emerging markets,” added Abeykoon.

The post JP Morgan acquires WealthOS in landmark Sri Lanka startup exit appeared first on e27.

January 22 delivered a compelling narrative of a global financial landscape in flux, where traditional equities soared on the wings of diplomatic optimism while the volatile realm of digital assets cooled significantly. The day was marked by a second consecutive session of gains for major US stock indices, a direct consequence of easing geopolitical tensions and a corresponding retreat of the US dollar. This confluence of factors painted a complex picture for investors everywhere, highlighting a clear rotation of capital back into regional markets and safe-haven commodities.

My view is that these events highlight a fragile market sentiment, heavily influenced by headline news and the immediate unwinding of risk positions. The market’s sharp positive reaction to President Trump’s reported “framework” deal over Greenland, which ostensibly cooled global tensions and averted a looming trade war with new European tariffs, reveals a nervous system quick to price in relief. This optimism was evident in the performance of the S&P 500, which advanced 0.55 per cent to close at 6,913.35, the Dow Jones Industrial Average, which rose 0.63 per cent (306.78 points) to 49,384.01, and the Nasdaq Composite, which gained 0.91 per cent to settle at 23,436.02. This movement was not without specific stock stories, as tech giants such as Nvidia, Microsoft, and Meta Platforms all ended higher, and Intel shares rose slightly ahead of their quarterly results. Conversely, Abbott Laboratories shares fell sharply, reminding us that company-specific fundamentals, such as the impact of higher prices on sales growth, always matter, even amid broader market rallies.

The easing of global tensions also had a palpable effect on commodities and currencies. The US dollar index was 0.5 per cent lower at 98.30, marking its biggest single-day fall in a month. This decline acted as a potent catalyst for gold, the traditional safe-haven metal, which soared to an all-time high, climbing above US$4,960 an ounce in the spot market. It is a classic market reaction: a weakening dollar and reduced global risk perception often see a surge in the appeal of the yellow metal. Concurrently, WTI crude futures fell below US$60 a barrel, declining more than two per cent to US$59.35, as the geopolitical risk premium that often elevates oil prices evaporated with news of the diplomatic breakthrough. The bond market remained relatively stable throughout, with the 10-year Treasury yield at approximately 4.25 per cent, little changed from the previous day’s close.

Also Read: JP Morgan acquires WealthOS in landmark Sri Lanka startup exit

However, a different, more cautious mood permeated the digital asset ecosystem. While traditional assets rallied, the crypto market fell 0.64 per cent over the last 24 hours, extending a seven-day decline of 6.5 per cent. This divergence suggests a distinct risk-off environment within the crypto space, driven by specific structural concerns rather than immediate global headlines. My take is that the crypto market is currently grappling with a crisis of conviction, primarily stemming from large institutional players. The data is clear: spot Bitcoin ETFs recorded US$1.58 billion in net outflows this week, a powerful signal of institutional profit taking and reduced exposure. This consistent selling pressure is outweighing retail buying, creating a market that lacks a necessary institutional bid to support prices.

The lack of institutional support is compounded by a significant plunge in trading activity. Total 24-hour trading volume fell 32.8 per cent to US$98.43 billion, with derivatives volume down 37 per cent. This sharp drop indicates low trader conviction and reduced liquidity, making prices prone to slippage even on modest sell orders. In thin markets, downward moves are often amplified. Technically, the market is testing a critical support level at the 78.6 per cent Fibonacci retracement level of US$3.01 trillion global market cap. The RSI sits at 43.74, neutral but weak. The conclusion I draw is that this is not a broad market panic but a targeted period of consolidation rooted in institutional caution and evaporating volumes.

For holders, the immediate future hinges on whether these ETF outflows persist and if that crucial US$3.01 trillion support level can hold firm over the next 48 hours. The contrasting performance of traditional and digital markets on this day provides a fascinating study of how different asset classes react to unique combinations of macro and microeconomic pressures.

—

The lead image of this article is generated by AI.

The post Crypto in the danger zone: Technical weakness, low volume, and a critical support test appeared first on e27.

Singapore has launched a new Model AI Governance Framework for Agentic AI, positioning itself at the forefront of global efforts to regulate the responsible deployment of advanced AI systems, including AI agents.

Announced on January 22 at the World Economic Forum, the framework was introduced by Minister for Digital Development and Information Josephine Teo. Developed by the Infocomm Media Development Authority, the framework is the first in the world to provide a comprehensive, practical guide for organisations deploying agentic AI responsibly.

The framework builds on Singapore’s original Model AI Governance Framework for AI, introduced in 2020, and reflects the country’s balanced approach to AI governance. It seeks to put guardrails in place to manage risks while leaving room for innovation, ensuring that the benefits of AI agents can be realised in a trusted and safe manner.

Unlike traditional or generative AI, AI agents can reason, plan across multiple steps and take actions on behalf of users to achieve specific objectives. These capabilities allow organisations to automate repetitive tasks in areas such as customer service and enterprise productivity, freeing up employees to focus on higher-value work and supporting broader sectoral transformation.

However, the increased autonomy of AI agents also introduces new risks. These systems may have access to sensitive data and the ability to make changes to their environment, such as updating databases or executing payments. This raises the risk of unauthorised or erroneous actions, as well as challenges around human accountability. One concern highlighted is automation bias, where users may over-trust AI agents that have performed reliably in the past.

Also Read: Voice does not expire: How AI helps us keep our stories alive

To address these issues, the new framework emphasises that humans remain ultimately accountable for the actions of AI agents. It stresses the importance of maintaining meaningful human control and oversight throughout the deployment and use of agentic AI.

Targeted at organisations deploying AI agents either in-house or through third-party solutions, the framework offers a structured overview of key risks and emerging best practices. It provides guidance across four main dimensions: assessing and bounding risks upfront by selecting appropriate use cases and limiting agent autonomy and access; ensuring human accountability through clearly defined approval checkpoints; implementing technical controls throughout the AI agent lifecycle, including baseline testing and controlled access to approved services; and enabling end-user responsibility through transparency, education and training.

The framework was developed with input from both government agencies and private sector organisations. April Chin, co-chief executive officer of Resaro, said the framework fills a critical gap in policy guidance by addressing the specific risks associated with agentic AI. She noted that it helps organisations define agent boundaries, identify risks and implement mitigations such as agentic guardrails.

IMDA described the framework as a living document and said it welcomes feedback from interested parties, as well as case studies demonstrating responsible deployments of AI agents. Building on its existing starter kit for testing large language model-based applications, the authority is also developing additional guidelines focused on testing agentic AI applications.

—

The post Singapore unveils world-first AI governance framework for Agentic AI at Davos appeared first on e27.

As AI agents move from experimental tools to operational systems with real-world impact, Singapore’s newly launched Model AI Governance Framework for Agentic AI is set to reshape how businesses deploy, manage, and scale these technologies.

Unveiled at the World Economic Forum in Davos, the framework is the first in the world to offer structured, practical guidance specifically for agentic AI, systems capable of planning across multiple steps and taking actions on behalf of users. While not a law, the framework is likely to influence business practices quickly, especially in regulated and customer-facing sectors.

For companies in Singapore, the message is clear: AI agents can drive productivity and transformation, but only if governance is designed into systems from the start.

Unlike traditional or generative AI, AI agents can initiate transactions, update databases or trigger workflows autonomously. This expanded capability raises new risks, including unauthorised actions, data misuse and over-reliance on automated decisions. The framework responds by emphasising that humans remain ultimately accountable, even as autonomy increases.

“Agentic AI systems will make decisions with real-world consequences,” said Elsie Tan, country manager for Worldwide Public Sector, Singapore, at Amazon Web Services, in a press statement issued by IMDA. “We need concrete mechanisms for visibility, containment, and alignment built into infrastructure, along with human judgment to use them wisely. Singapore’s Model AI Governance Framework is a step in the right direction.”

Also Read: Voice does not expire: How AI helps us keep our stories alive

In practical terms, businesses are expected to rethink how AI agents are authorised, monitored and approved. One of the framework’s core recommendations is to assess and bound risks upfront by selecting appropriate use cases and limiting an agent’s autonomy, access to tools and exposure to sensitive data. For enterprises, this means more formal approval processes for agent deployments, especially for systems that can trigger payments, modify records or interact directly with customers.

The framework also elevates the importance of human checkpoints. As AI agents become more reliable, organisations risk automation bias, the tendency to over-trust systems that have performed well in the past. By requiring defined moments where human approval is mandatory, companies can reduce the risk of silent failures or cascading errors.

For tech vendors and cloud providers, the framework may shape how products are built and sold. It encourages technical controls such as baseline testing, lifecycle monitoring and restricted access to whitelisted services, alongside non-technical measures such as training and transparency. These expectations could increasingly become standard requirements in enterprise procurement.

“Building trust in agentic AI is an ongoing, shared responsibility, and IMDA’s framework is a constructive first step,” said Serene Sia, country director for Malaysia and Singapore at Google Cloud.

She added that open standards will play a key role in enabling secure multi-agent systems. “Having pioneered open standards like the Agent2Agent Protocol and Agent Payments Protocol, Google has been playing a key role in establishing the foundation for interoperable and secure multi-agent systems.”

Also Read: Forward-looking governance: Why Asian boards must think like futurists

The impact will be felt most strongly in sectors where AI agents operate close to money, data or safety. Financial services firms, fintech companies and banks are likely to introduce stricter approval gates, audit trails and monitoring to meet expectations of accountability. E-commerce platforms and logistics providers may need tighter controls around customer service agents who can issue refunds or amend orders.

For organisations already deploying AI agents at scale, the framework offers validation and direction.

“At KBTG, we have already begun deploying AI agents across the bank and have a strong pipeline of additional agents ahead,” said Dr. Komes Chandavimol, principal AI evangelist at KASIKORN Business-Technology Group, the technology arm of KASIKORNBANK. “As we move toward deployment at scale, we are strengthening our agentic AI governance. The Model Governance Framework for Agentic AI is a timely and practical document that will help guide this journey.”

Small and medium-sized enterprises may face capability gaps, particularly around testing and monitoring. This could accelerate demand for managed services and “governed-by-design” AI agents that embed compliance features by default.

Positioned as a living document, the framework is likely to evolve alongside the technology. For businesses in Singapore, it sets a clear direction of travel: AI agents are welcome — but only with accountability, oversight and trust built in.

—

The lead image of this article is generated by AI.

The post Singapore’s new AI governance framework signals a turning point for businesses using AI Agents appeared first on e27.

Airwallex’s acquisition of Paynuri is less about headline-grabbing expansion and more about quietly doing the hard, unglamorous work that actually scales fintech: licences, local compliance, and settlement rails. Coming on the heels of its US$330 million Series G, the deal signals a clear strategic pivot — capital is being deployed to lock in regulated infrastructure, not just chase user growth.

Korea is a logical next frontier. It is a sophisticated, high-volume market with demanding regulators, strong domestic incumbents, and businesses that increasingly sell beyond national borders. For Korean merchants riding the K-wave — from e-commerce to entertainment — cross-border payments are no longer a “nice to have” but a margin issue. FX spreads, slow settlement, and fragmented providers quietly tax growth. Airwallex is positioning itself as the layer that removes that friction.

Buying Paynuri accelerates this ambition. Rather than entering Korea cautiously and negotiating licences over years, Airwallex gains speed, legitimacy, and local operational grounding. That matters in a market where regulators expect compliance first and iteration second.

For customers, the promise is straightforward: fewer intermediaries, cleaner FX, and faster access to global markets — whether you’re a Korean brand selling overseas or a foreign company localising into Korea. The bet is that payments infrastructure, not consumer-facing apps, will capture the most durable value.

Viewed through that lens, Korea isn’t a side quest. It’s a test of whether Airwallex can turn regulatory complexity into competitive advantage — and scale globally without losing its infrastructure-first discipline.

REGIONAL

Why Airwallex chose acquisition over patience in Korea: The purchase provides Airwallex a faster path to operate locally, at a time when cross-border commerce is rising and Korean businesses are trying to sell overseas without getting strangled by FX spreads, settlement delays, and fragmented payment rails.

Danantara to deploy US$14B this year: Launched in February 2025 with an initial US$20B, Danantara aims to support Indonesia’s economic transformation by investing in renewable energy, digital infrastructure, healthcare, and food security over the next 12 to 24 months.

Salesforce’s startup push in ASEAN is really a customer acquisition engine: Salesforce has rolled out its Startup Program in Malaysia and the Philippines as it looks to turn fast-growing local founders into long-term platform users. The program was started in 2021 and now supports a community of over 435 startups.

What Toku’s IPO reveals about demand for enterprise AI in Asia: The AI CX platform raised US$11.86M. Toku enters the market on a credible growth trajectory. It reported revenue growth of 47% and net revenue retention exceeding 150% over the past three years for its subscription and licensing revenue stream.

SCBX brings Korea and China’s digital banking playbooks to Thailand: The collaboration combines SCBX’s domestic banking muscle with KakaoBank’s mobile‑first product playbook and WeBank’s heavyweight tech stack, including AI and cloud‑scale infrastructure, to launch a new virtual bank in Thailand.

Vietnam fines TikTok over data privacy violations: In addition to TikTok, the commission also fined Zalo, a messaging platform operated by VNG Corp, US$30,900 for failing to provide mechanisms for users to control the scope of personal data they share.

Indonesia’s Hypefast plans 2027 IPO after rebrand: Hypefast positions itself as a full-stack operator managing brand manufacturing, distribution, and D2C sales, with over 10,000 retail points across Indonesia. Hypefast reported positive EBITDA and cash flow since 2024.

FEATURES & INTERVIEWS

Why Nansen believes AI agents are the future of on-chain markets: CEO Alex Svanevik talks about what this shift says about the maturity of crypto markets, the evolving role of AI in trading, and how access to institutional-grade workflows could reshape who gets to move first on-chain.

INTERNATIONAL

JP Morgan acquires WealthOS in landmark Sri Lanka startup exit: This acquisition signals global validation for Sri Lankan fintech, unlocking liquidity, talent flywheels, and confidence in product-led exits. UK-incorporated WealthOS builds software that helps financial institutions run wealth management digitally.

OpenAI’s Altman said to meet Middle East investors for US$50B round: OpenAI has previously raised billions to fund infrastructure costs such as chips and data centres and has committed to spending over US$1.4T on AI infrastructure in the coming years.

Jungle Ventures joins Indian travel tech startup Escape Plan’s US$25M round: Escape Plan sells luggage, backpacks, and travel accessories, with a strong focus on offline retail in non-metro markets. It aims to open over 200 stores across India and follows an inventory-led model.

Australia watchdog orders Airwallex audit over compliance issues: The regulator expressed worries that Airwallex’s transaction monitoring system may not fully address the risks, especially as it facilitates fund transfers across multiple jurisdictions.

Amazon reportedly to cut thousands more jobs: The layoffs are part of a broader effort to cut nearly 10% of its corporate workforce, affecting units such as AWS, retail, Prime Video, and HR. The company previously cut around 14,000 jobs in October, about half of its initial 30,000 target.

TikTok shifts US assets to Oracle-led joint venture: The JV, majority American-owned, will oversee data storage, content moderation, and algorithm security for US users, with Oracle managing data storage. The leadership team includes CEO Adam Presser and CTO Will Farrell.

CYBERSECURITY

AI vs AI: Inside Southeast Asia’s new cybersecurity war: As Southeast Asia’s digital economy tops US$1 trillion, escalating AI-driven cyber threats collide with rapid innovation, pushing startups and governments to build resilient, coordinated defences across the region.

Seqrite, Terrabyte Group partner to strengthen cybersecurity footprint in SEA: The collaboration brings Seqrite’s full-stack enterprise cybersecurity ecosystem to the region, enabling organisations to secure endpoints, networks cloud environments, data, users and applications through an integrated, AI-driven approach.

Super apps, fintech wallets and mobile payments: Southeast Asia’s fintech boom has driven near-universal digital payments, but super apps and mobile wallets are creating concentrated cybersecurity risks as fraud shifts decisively toward mobile-first attacks across the region.

SEMICONDUCTOR

Memory chip prices surge on AI demand, hit consumer electronics: Major memory chip producers Samsung, SK Hynix, and Micron report difficulty meeting demand, driven by prioritisation of data centre components. As a result, companies like Apple and Dell may face higher costs, potentially passing them to consumers.

China, Hong Kong dominate India’s chip imports: China supplied nearly 30% of integrated circuits and microassemblies worth US$5.8B from April to November FY26. Hong Kong contributed 18.5%, amounting to US$3.7B, with both sources increasing their shipments by 3.5% and 10%, respectively.

Intel shares fall over 13% despite Q4 earnings beat: The company reported a net loss of US$600M, compared to a US$100M loss a year earlier. Intel’s revenue was US$13.7B, beating analysts’ predictions. Adjusted earnings per share were 15 cents, above the expected 8 cents.

AI

Indonesia expects to finalise AI regulations within two months: The regulations include the AI Roadmap and AI Ethics. The AI Roadmap outlines national development and utilisation strategies, while the AI Ethics regulation sets principles for responsible AI use but does not specify sanctions.

Voice does not expire: How AI helps us keep our stories alive: AI expands how stories are told, but authenticity remains human. Voices evolve through technology, preserving meaning, emotion, and legacy while enabling expression beyond fear, format, or stage limitations.

AI in recruitment: Why precision hiring will matter more than ever in Southeast Asia: Regional startups face tighter capital and higher execution pressure, making hiring strategic. AI-driven precision hiring reduces bias, shortens cycles, and improves decision quality without replacing human judgment.

How AI, AR, and live streaming are changing the online shopping experience: As e-commerce becomes dominant, brands are using AI, live commerce, AR/VR, and generative tools to deliver personalised, interactive experiences that boost engagement, differentiation, and online sales globally.

THOUGHT LEADERSHIP

Why marketing agencies are more essential than ever in 2026: In 2026, marketing agencies thrive as strategic growth partners, blending human judgment, specialised expertise, and AI-powered execution to navigate complexity, culture, and competition beyond what tools or in-house teams alone can achieve.

Leading a multigenerational workforce: How Singapore’s employers can turn diversity into strength: Singapore’s multigenerational workforce blends Gen X resilience, Millennial adaptability, and Gen Z digital-native values, forcing employers to rethink leadership, technology adoption, communication styles, and flexible talent strategies.

Forward-looking governance: Why Asian boards must think like futurists: Asian boards must move beyond reactive oversight toward forward-looking governance, embedding foresight, adaptive structures, and strategic courage to anticipate regulatory, technological, and geopolitical shifts shaping long-term resilience across Asian markets.

Life in plastic, it’s not fantastic: Understanding the problems: Asia’s plastic crisis persists as recycling faces high costs, technology limits, quality degradation, poor traceability, and inadequate policy, limiting scale, discouraging investment, and demanding action from corporations, governments, and startups.

The data revolution: Innovation and evolution in APAC’s hospitality industry: Technology and data are transforming APAC’s hospitality industry, enabling personalised guest experiences, operational efficiency, and post-pandemic recovery—turning traditional venues into smarter, more resilient, growth-driven businesses.

How Southeast Asia’s Supermom retains its Fortune 500 clients: Supermom is Southeast Asia’s leading parenting data platform, connecting millions of moms, empowering peer influence and income creation, while supplying global brands with unique first-party consumer insights and client retention.

Profitable e-commerce: Making real money in the new year: Online sellers should focus on profitable growth, not raw revenue, by leveraging shopping tailwinds, preparing for stockouts, optimising pricing, and applying proven e-commerce best practices instead of chasing growth hacks.

Trump’s Davos reversal sparks massive relief rally in global stocks, cryptocurrencies: Global markets rebounded sharply as trade tensions eased, stocks surged, gold fell, AI optimism lifted tech, and crypto showed maturing strength amid whale accumulation and landmark institutional milestones worldwide confidence.

The post Ecosystem Roundup: Airwallex buys into Korea; AI agents reshape crypto; JP Morgan lands Sri Lanka exit; Amazon cuts jobs appeared first on e27.

India’s payments infrastructure firm Juspay has raised US$50 million from WestBridge Capital in a Series D follow-on round, valuing the company at US$1.2 billion.

The transaction combines primary capital with a secondary component that offers liquidity to early investors and employees holding ESOPs — the second such liquidity event Juspay has facilitated within a year.

Also Read: Juspay’s Nakul Kothari on building, scaling, and the future of fintech

That structure matters almost as much as the cheque size. Across Asia, secondary investments (purchases of existing shares rather than new issuance) are growing quickly as late-stage startups stay private for longer and IPO windows remain inconsistent. For investors, secondaries offer exposure to more mature businesses with clearer unit economics and governance; for founders, they can reduce pressure to “time the market” for an IPO; and for employees, they convert paper wealth into cash without waiting years for a listing.

In Juspay’s case, the deal also signals a shift in how late-stage capital is being deployed in the region: less about subsidising growth at any cost, more about backing infrastructure companies that can scale across markets while keeping stakeholders incentivised.

Juspay in numbers

Juspay sells payments infrastructure to enterprises and banks, sitting behind consumer-facing checkout flows and routing transactions across payment methods, gateways, and networks. The company claims its annualised total payment volume (TPV) now exceeds US$1 trillion and that it processes more than 300 million transactions daily for brands, including Agoda, Amazon, Flipkart, and Swiggy.

It also states 99.999 per cent reliability and a workforce of 1,500+ across offices, including Singapore, alongside San Francisco, Dublin, São Paulo and Dubai.

What is less clear from the release is how fast those topline metrics have grown over the last two years. Juspay does not provide year-by-year TPV, revenue, take-rate, or profitability figures, which makes it difficult to benchmark performance against other infrastructure players. Still, two datapoints stand out: the claimed US$1 trillion+ annualised TPV and the fact that it has created two liquidity events within a year, suggesting confidence in internal valuations and a desire to retain talent in a competitive market.

Sheetal Lalwani, Co-founder and COO of Juspay, said: “Our focus over the last decade has been on solving the core complexities of global payments through first-principles engineering and design.”

Secondaries are gaining traction in Asia

Secondary transactions are rising across Asia for structural reasons:

• Longer private-company lifecycles: strong companies are delaying IPOs, either by choice (more private capital available) or necessity (volatile public markets).

Also Read: Secondaries take centre stage: How VCs are navigating the exit drought

• Tighter growth funding: as primary rounds become more selective, secondaries help balance stakeholder needs without forcing aggressive expansion.
• Talent retention: periodic ESOP liquidity is increasingly used to retain senior engineering and product talent, especially in fintech.
• Cleaner cap tables and price discovery: secondaries can consolidate early positions and create a reference price without a full fundraise.

In India, in particular, where many startups built large ESOP pools during the boom years, employee liquidity is becoming a recurring feature rather than a one-off event.

India’s fintech growth in Asia — and the constraints

India remains one of Asia’s most influential fintech markets, driven by UPI, widespread smartphone adoption, digital-first merchants, and the broader “digital public infrastructure” stack that reduces friction in onboarding and payments. Indian fintechs are also increasingly exporting capabilities — especially in payments orchestration, risk, reconciliation, and compliance tooling — to Southeast Asia and the Middle East.

But growth is shaped by countervailing forces: regulatory scrutiny, persistent concerns around fraud and consumer protection, shifting economics across payment rails, and intense competition among infrastructure and aggregator layers. In short, the demand is massive, but sustainable scale increasingly requires compliance maturity and strong operational controls.

Juspay in Southeast Asia

Juspay already has a Singapore base and counts Agoda among customers, giving it a practical entry point into Southeast Asia’s cross-border travel and commerce flows. The region’s opportunity lies in its fragmentation: multiple domestic real-time payment schemes, wallets, bank transfer rails, and differing regulatory requirements across markets. That complexity typically pushes large merchants and platforms towards orchestration and infrastructure providers that can unify routing, retries, reconciliation, and risk controls across countries.

Also Read: What stands in the way of fintech growth in Asia?

If Juspay executes well, Southeast Asia offers a route to grow beyond India-centric rails into a broader APAC infrastructure play — especially as real-time payments and cross-border linkages expand.

The post Juspay raises US$50M, makes secondaries mainstream in Indian fintech appeared first on e27.

SCB X Public Company (SCBX) has taken a decisive step in Thailand’s virtual banking sweepstakes by formalising a tri‑party partnership with South Korea’s KakaoBank and China’s WeBank Technology Services.

The collaboration combines SCBX’s domestic banking muscle with KakaoBank’s mobile‑first product playbook and WeBank’s heavyweight tech stack, including AI and cloud‑scale infrastructure, to launch a new virtual bank in Thailand.

Also Read: How digital banking is driving financial inclusion in SEA

The announcement is less an experiment than a statement of intent. SCBX brings deep local distribution and regulatory know‑how; KakaoBank contributes proven UX design and product innovation from running Korea’s top digital bank; and WeBank supplies the plumbing — scalable core banking, data platforms and AI capable of supporting hundreds of millions of users. Together they aim to deliver an “AI‑native” bank that promises personalisation, operational efficiency and broader access to financial services.

How this will reshape banking in Thailand

Thailand’s incumbent banks are already digitising, but a native virtual bank built on modern cloud infrastructure and AI could accelerate disruption. The new entrant will compete on speed of product delivery, hyper‑personalised services, and lower operating costs. Expect simpler onboarding, faster credit decisions, contextual product recommendations and more competitive pricing for everyday banking services.

For consumers, the immediate effect should be convenience: fully digital account opening, frictionless payments, and AI‑driven customer support. For small and medium‑sized enterprises (MSMEs), the potential gains are more tangible. AI‑powered credit scoring that ingests alternative data (invoices, payment patterns, social commerce activity) could unlock working capital to businesses that have historically been underserved by traditional credit scoring. Embedded banking services (invoicing, payments, liquidity tools) integrated with the platforms many MSMEs already use would reduce administrative friction and cost.

On inclusion, the promise is absolute but conditional. A modern virtual bank can lower the cost of serving low‑income customers through digital channels, enabling small-ticket lending, micro‑savings, and tailored financial literacy tools. However, genuine financial inclusion requires careful product design, affordable pricing, digital literacy efforts and robust consumer protection. Without those, faster onboarding risks increasing over‑indebtedness or leaving digitally excluded groups further behind.

Where Thailand fits in the regional picture

Southeast Asia’s virtual banking sector is embryonic but fast evolving. Regulators across the region have been cautiously issuing digital banking licences to stimulate competition and inclusion, but outcomes have diverged.

• Singapore and Hong Kong moved early on digital licences, but the most dynamic greenfield activity is now in Southeast Asia. Thailand’s central bank has signalled openness to new digital players, creating fertile ground for SCBX’s venture.
• Indonesia has seen notable activity from incumbent conversions and fintech collaborations, but full virtual banks have struggled with market fragmentation and distribution costs.
• Malaysia has issued digital banking licences and attracted consortium bids; the challenge remains scaling customer acquisition beyond promotional offers.

Also Read: Why neobanks are better than digital banks

• The Philippines has a vibrant fintech ecosystem and several digital banks, buoyed by remittances and mobile money adoption; regulatory sandboxes have helped innovation, but funding and trust remain hurdles.
• Vietnam is an emerging battleground, with both local banks and tech firms experimenting with digital‑first offerings; regulatory clarity is improving, but infrastructure and consumer trust will define winners.

Key regional players include SeaBank and GXS Bank backers in Singapore, CIMB’s digital initiatives in Malaysia, and a range of fintech incumbents (Grab, GoTo) that are increasingly integrating financial services into super‑apps. Korea’s KakaoBank and China’s WeBank stand out as proven playbooks for customer experience, product velocity and scale — exactly the capabilities SCBX is importing.

Growth patterns and choke points across SEA

Growth in virtual banking across Southeast Asia has been steady but constrained. Several issues consistently throttle expansion:

1. Customer acquisition costs. The region’s fragmented markets and low per‑user revenue mean huge marketing spends to reach scale. Free promotions and sign‑up bonuses are costly and often unsustainable.
2. Regulatory complexity. Each country has distinct licensing frameworks and consumer protection rules. Compliance costs are high, and approvals can be slow. Cross‑border scaling requires careful legal and operational planning.
3. Trust and brand recognition. Banking is a trust business. New digital players must convince customers to deposit and borrow with them, a high bar without tangible endorsements or long track records.
4. Monetisation and unit economics. Many virtual banks struggle to convert trial users into profitable customers. Low average balances and thin margins on payments make profitability elusive without scale or diversified revenue streams.
5. Infrastructure and identity. Effective digital onboarding depends on reliable digital identity systems and payments rails. Where these are immature, onboarding friction increases costs and drop‑off rates.
6. Talent and tech costs. Building AI‑native banking capabilities requires specialised engineering and data science talent, and recurring cloud costs can be sizeable unless optimised.

Why this partnership matters

SCBX’s alliance with KakaoBank and WeBank attempts to tackle several of those choke points in one go. KakaoBank’s brand and UX expertise can lower acquisition friction; WeBank’s tech offers cost‑efficient scaling; SCBX’s local footprint eases regulatory navigation and distribution. Embedding AI from day one could accelerate productisation and lower per‑customer servicing costs.

But the partnership’s success will hinge on execution. Will the joint venture convert engagement into deposits and credit customers? Can it design safe, affordable products for MSMEs and low‑income users? And will it manage the unit economics so that growth is sustainable, not subsidised?

Also Read: What are Digital Full Bank and Digital Wholesale Bank licences?

The strategic play is sensible: combine global digital banking playbooks with local muscle. If they get product market fit right — marrying trust and convenience with genuinely useful MSME and consumer products — the virtual bank could be a material force in Thailand’s financial services market. If not, it will join a growing list of ambitious but under‑monetised digital challengers across Southeast Asia.

The post SCBX brings Korea and China’s digital banking playbooks to Thailand appeared first on e27.

A quiet revolution is taking place in computing where single board computers (SBC), which in the past were mainly used for industrial automation, are now being used by tech enthusiasts to run home automation, personal web servers, and even local artificial intelligence off the cloud. SBC manufacturers are taking note, with companies like Raspberry Pi, Lattepanda, RapidAnalysis, and even large companies like Google and NVIDIA producing consumer-oriented development boards aimed at the hobbyist market. 

Due to the form factor of these boards, a legacy CPU is often used to both minimise costs and operating temperatures. However, can these boards do anything useful? Actually, they can, if accelerated with special libraries and peripherals. 

Hardware acceleration

One such peripheral is the Google Coral Tensor Processing Unit (TPU), which is a small ASIC used to accelerate mathematical computations on low-power devices. Application-Specific Integrated Circuits (ASIC) were first showcased during the crypto-mining boom when they were used as an efficient method to mine cryptocurrency.

Its superb efficiency is exploited by Google Coral to boost MobileNet V2 performance to almost 400 frames per second for image recognition, even on legacy or low-power CPUs. The Google Coral M.2 accelerator can provide 8 trillion operations per second (TOPS) of performance for just under US$40 by plugging into a PCIe M.2 port found on many high-end SBCs. 

Software acceleration

On the software side, the OpenVINO project can perform integrated GPU acceleration on older and current Intel CPUs, adding increases sometimes as much as 25 times faster. It does this by optimising operations, for example, fusing primitives like linear operations into convolutions. Projects converting Stable Diffusion models to OpenVino’s Intermediate Representation format have demonstrated GPU processing on Intel CPUs, albeit slowly. But sometimes the need for speed is not as important as the need for low power consumption, low noise, and low cost. 

Software apps

Since the Amazon Dot has snuck into our kitchens promising home automation, others who are creeped-out at the thought of Jeff Bezos listening in on their cooking conversations have opted for alternatives. HomeAssistant is an open source app that can run on your mobile device or web browser to help link wifi door locks, lights, and other home automation devices together to work through a single interface. Frigate is an open source real-time security camera video recorder built around artificial intelligence object detection.

Objects and zones for detection can all be configured and searched through a web interface. Both of these home automation apps offer a level or privacy not found in Amazon’s cloud-based devices. But the catch is that you need to run them on your own server, and setting one up can be a bit daunting and costly.

Also Read: Securing tomorrow’s metaverse today: Why safety in the new frontier must leverage on hardware

However, with both HomeAssistant and Frigate, a thriving market has developed where integrators and hardware vendors have started pre-configuring light-weight servers with these open source tools built in. Frigate has even implemented Google Coral integration, making a low cost AI accelerated image capturing device available to anyone interested in an off-cloud solution on their own device. 

Current cost of homelab SBC

• Google Coral Dev Board (US$169.99): Configured as a removable system-on-module (SoM) with host board, 4 GB RAM, and quad Cortex-A53. Runs a derivative of Debian Linux Google calls Mendel. Google Coral acceleration can also be run as a M.2, mSATA, or USB peripheral.
• NVIDIA Jetson Nano (US$149.00): Configured as a removable SoM with host board, 4 GB RAM, and Quad-core ARM Cortex-A57. The official operating system for the Jetson Nano is the Linux4Tegra, based on Ubuntu 18.04. This board uses the popular CUDA application programming interface.
• LattePanda V1 (US$165.00): Configured with an integrated processor, 4 GB RAM, 64 GB HD, and x86 Intel Z8350. This board can optionally come preconfigured with Windows and is the smallest x86 board available. Can run all x86 apps that can be run on regular PC platforms. Can be powered over POE with an optional Ethernet and 5V Power splitter.
• Raspberry Pi 5 (US$60.00): Configured with an integrated processor, 4 GB RAM, SD HD, and quad-core Arm Cortex-A76. Runs a derivative of Debian Linux. Is one of the most popular and least expensive boards with many peripherals and custom applications. Can be powered over POE with an optional Ethernet and 5V Power Splitter.
• RapidAnalysis Darius (US$64.82): Configured with an integrated processor, upgradable RAM (up to 8 GB), ungradable mSATA HD (up to 1T), x86 Intel N2840. Has an upgradable RAM slot that supports up to 8GB. Has two mSATA slots for SSD HD capacity up to 1T each or an optional Google Coral accelerator. Can run all x86 apps that can be run on regular PC platforms.

Sustainability

Measuring the environmental impact of cloud computing platforms compared to locally run low-power SBC alternatives may surprise you. A recent news story reported that “just one large data centre can consume the same amount of energy required to power 50,000 homes.” But what if each of these homes had an SBC powering most of their cloud-computing needs? New metrics are now focusing on “performance per watt” and efficiency is moving in the right direction. 

Graphics processors (GPU) have shown great strides in recent years against Central processors (CPU) efficiency, with NVIDIA and AMD showing the greatest gains in compute performance. However, when you compare compute power to how much electricity these processors are consuming, we can see that some processors are much more efficient.

Also Read: Embracing clean beauty: A path to conscious consumerism and sustainability

For example, the HAILO AI accelerator can perform 26 Tera-Operations per second while consuming only 2.5 watts of power, which makes it less costly, more powerful, and more energy efficient than rival NVIDIA’s Jetson Nano. In general, specialised chips like ASICs and FPGAs that perform a narrow set of functions can be useful in both conserving energy and breathing new life into older system architecture. The internet is full of new engineers turning old systems and SBCs into fully functional home labs. 

Learning curve

But even if you can’t afford the price of these low cost SBC computers, picking up a free PC from an e-waste facility or close-to-free from an eBay auction can be a viable solution to outfit a dedicated homelab. The strong-arm tactics used by Microsoft to bully its customers into upgrading to Windows 11 has pushed a lot of corporate PCs into retirement and picking up an older Windows machine from a large corporation for cheap or free off Craigslist or Facebook Marketplace is easier than ever.

Unfortunately, a learning curve still exists when setting up a Linux homelab server environment. But tools like Docker containers, Homepage Dashboard, and Webmin can provide a more friendlier web-based interface compared to the word-driven commands of the SSH Linux shell prompt. 

As homelab hobbyists and small-office IT professionals start bringing cloud services in-house, the demand for these small-footprint SBC computers will increase, creating a new market for pre-configured low-power personal servers.

Also, as more computers are deemed “worthless” by corporate IT standards, a new generation of engineers are using these systems as a playground for their own home lab versions of their work or academic networks, often with increased efficiency over their office-based counterparts. Hopefully, this will breathe new life into older hardware otherwise destined for a landfill. 

—

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.

Join us on Instagram, Facebook, X, and LinkedIn to stay connected.

Image credit: Canva Pro.

 

The post The new era of computing: Single board computers for home automation and AI appeared first on e27.

Zara, the flagship brand of Inditex, is often held up as the gold standard of fast fashion. Since its founding in 1974 in Spain, the brand has expanded into over 90 countries, employing more than 165,000 people worldwide. Its appeal lies in its ability to get new designs from concept to store shelves in a matter of weeks, keeping shoppers constantly engaged with fresh trends.

At the heart of this success is a value chain that’s both agile and tightly controlled. Yet, that same machinery that fuels Zara’s rapid growth also carries environmental, ethical, and operational challenges that the brand can no longer afford to ignore.

A value chain built for speed

Zara’s supply chain is the engine behind its fast-fashion dominance. Approximately 57 per cent of its clothing production is handled internally in factories near its headquarters in Galicia, Spain. This proximity allows for quick turnarounds, high flexibility, and strong quality control.

The rest of its production is outsourced to a web of suppliers scattered across Asia, Latin America, and other parts of Europe. This global footprint includes more than 1,800 suppliers, with over 1,000 based in Asia. Core inputs such as fabrics and yarn are partly sourced internally—around 40 per cent from Zara’s own network—while the rest comes from countries like Portugal, Morocco, and Hong Kong.

The journey from fiber to fashion involves multiple steps: fibers are spun into yarn, woven or knitted into fabrics, dyed, printed, cut, sewn, quality-checked, and packed. Finished garments are then routed through “The Cube,” Zara’s central distribution hub, before reaching one of its 2,221 stores or shipping to customers in 66 online markets.

This vertically integrated approach has long been one of Zara’s key advantages, enabling it to pivot quickly to shifting fashion trends and avoid the months-long lead times that plague slower competitors.

The environmental cost of fast fashion

The fast-fashion model is built on speed and volume—but that comes with a heavy environmental price tag. Globally, the fashion industry produces about 100 billion garments annually, with 92 million tonnes ending up in landfills each year.

Zara’s operations, like much of the industry, rely on processes that are resource-intensive and polluting. Dyeing and fabric finishing contribute to water contamination, while the transportation of materials and products across continents adds to fashion’s estimated 10 per cent share of global greenhouse gas emissions.

Also Read: Why Vietnam’s digital bank licenses are the dark horse opportunity of 2026

As climate awareness grows, this footprint is becoming harder to justify. Consumers are increasingly questioning whether they need a constant influx of cheap, trendy clothing—especially when its lifecycle is often measured in months, not years.

Ethical pressures in a global supply network

Zara’s far-reaching supplier network has brought efficiency, but it has also exposed the brand to labor controversies. Allegations over the years have included long working hours, unsafe conditions, and low wages in countries like India, Argentina, and Brazil.

In response, Zara has strengthened its supplier code of conduct and increased audits, aiming to ensure fairer labor practices. However, maintaining consistent ethical standards across such a vast network remains a daunting task, especially in regions where local enforcement of labor laws is weak.

For a brand that markets itself on being responsive to customers’ needs, the challenge is to be equally responsive to workers’ rights.

Business resilience in a shifting retail landscape

The pandemic years highlighted just how vulnerable Zara’s model can be to external shocks. From 2020 to 2024, the company closed over 600 stores as in-person retail sales plummeted. Supply chain disruptions in 2022 led to delays and shortages, demonstrating the fragility of even the most sophisticated logistics systems.

Economic downturns and inflationary pressures have also tightened consumer spending, making shoppers more selective. For a brand that thrives on frequent purchases, this means adapting quickly—either by leaning further into e-commerce or by rethinking product cycles to better match consumer realities.

The technology factor: Risk and opportunity

Zara has long used technology to enhance its supply chain—from RFID tags for inventory tracking to data analytics for demand forecasting. Now, the stakes are higher. Artificial intelligence, automation, and digital design tools promise faster, more sustainable production cycles and reduced overstock.

For example, AI-powered demand sensing could help Zara produce closer to actual demand, cutting waste. Automation in cutting and sewing could speed up production while reducing errors. Virtual fitting tools could lower return rates and help customers make better purchase decisions online.

Also Read: Rebuilding the fast fashion model from the ground up: Grana’s Pieter Wittgen & Luke Grana

However, digitisation also introduces new risks. Greater reliance on connected systems means greater vulnerability to cyberattacks, data breaches, and privacy issues. As Zara integrates more technology into its operations, safeguarding data will become as crucial as safeguarding supply chains.

Can fast fashion be sustainable?

The central question for Zara—and for the fast-fashion sector as a whole—is whether speed and sustainability can truly coexist. Efforts like using more recycled materials, investing in cleaner dyeing processes, and setting science-based emissions targets are steps in the right direction.

But real change will require structural shifts: slowing down production cycles, encouraging repair and reuse, and being transparent about supply chain impacts. This goes beyond marketing campaigns; it demands rethinking the very business model that has made Zara successful.

Strategic moves for the future

To navigate this next phase, Zara will likely need to focus on four key strategies:

• Smarter demand forecasting: Leveraging AI and real-time sales data to fine-tune production and avoid overstock.
• Sustainable sourcing: Expanding the use of eco-friendly fabrics, water-saving dye technologies, and renewable energy across the supply chain.
• Stronger supplier accountability: Deepening partnerships with suppliers to ensure compliance with ethical labor standards, while providing support for improvements.
• Digital resilience: Investing in cybersecurity, privacy safeguards, and staff training to ensure technological tools enhance rather than endanger operations.

The balancing act ahead

Zara’s value chain is a study in contrasts: a highly efficient, vertically integrated system that also amplifies many of fashion’s biggest challenges. Its ability to turn trends into products at lightning speed has won it millions of customers—but the social, environmental, and operational costs are becoming harder to ignore.

As consumer expectations evolve toward sustainability and transparency, Zara faces a choice: maintain the status quo and risk falling out of step with its audience, or reimagine fast fashion for a world that’s increasingly demanding slower, more responsible production.

The company’s next moves will not only define its own future but may also shape the direction of the entire fast-fashion industry.

—

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.

Enjoyed this read? Don’t miss out on the next insight. Join our WhatsApp channel for real-time drops.

Image courtesy: Canva Pro

The post Inside Zara’s value chain: Speed, scale, and the cost of fast fashion appeared first on e27.

Toku, a Singapore‑incorporated, cloud‑native AI customer‑experience (CX) platform, has closed its initial public offering on the SGX Catalist board, raising SGD16.25 million (about US$11.86 million) at SGD0.25 (roughly US$0.18) per invitation share.

The public offer attracted 1,115 valid applications for 63,888,300 public offer Shares (a subscription rate of 31.9 times) and the placement was fully subscribed. Post‑IPO market capitalisation stands at S$142.56 million (approximately US$104.17 million).

Key financial outcomes and market response

The market’s reception was strong. Institutional demand included top‑tier investors such as Lion Global Investors, Amova Asset Management Asia, Asdew Acquisitions, and Ginko‑AGT Global Growth Fund, signalling validation from sophisticated allocators. The oversubscription of the offer (nearly 32 times) demonstrates retail appetite and suggests effective pre‑listing positioning and investor relations.

Also Read: Why Toku’s public listing could reset expectations for Singapore startups

Toku enters the market on a credible growth trajectory. It reported revenue growth of 47 per cent and net revenue retention exceeding 150 per cent over the past three years for its subscription and licensing revenue stream. Those figures point to robust customer expansion and high retention among enterprise clients, both positive indicators for long‑term unit economics in a sector where churn can be fatal.

How Toku’s platform differentiates

Toku pitches itself not as another omnichannel vendor but as an enterprise‑grade stack purpose‑built for complexity. Its differentiation rests on three pillars:

• End‑to‑end ownership of stack and connectivity: Toku controls the full technology stack from carrier‑grade connectivity through to AI applications. That reduces integration friction and offers predictability in heavily regulated or fragmented markets where telco relationships and local routing matter.
• AI and governance designed for enterprises: The platform includes transcription, summarisation, sentiment analysis, conversation analytics and governed virtual agents. Crucially, Toku emphasises governed AI — controls and auditability that regulated industries and public‑sector customers demand, rather than loose, black‑box models.
• Deployment flexibility and market breadth: Support for commercial cloud, private data centres and hybrid setups gives Toku a technical edge in markets with strict data residency or compliance requirements. The firm’s modular 360° CX orchestration is tailored for multi‑market operations where linguistic, regulatory and infrastructure complexity is the norm.

Together, these elements position Toku to serve customers where standard SaaS CX vendors struggle: enterprises operating across jurisdictions, regulated sectors and high‑volume voice environments.

Primary strategic objectives post‑listing

Toku’s management has been explicit about its next moves. The IPO proceeds will be directed at three strategic priorities:

1. Global scaling of the platform: The management intends to accelerate international expansion, particularly within APAC, where multilingual and regulated markets create demand for Toku’s approach. Capital will fund localisation, sales expansion and strategic partnerships.
2. Deepening AI capabilities: Toku plans to invest in advanced AI features — more accurate speech models, better conversational analytics and stronger virtual‑agent orchestration — while maintaining governance and explainability for enterprise compliance.
3. Growth through M&A and partnerships: The company signalled appetite for strategic acquisitions to expand product breadth or accelerate market access. Partnerships with channel and systems‑integrator ecosystems will be crucial to reduce go‑to‑market costs in new territories.

Why the market is taking notice

Toku’s model addresses pain points that many enterprises still face: poor voice transcription in local dialects, fractured integrations across channels, and compliance hurdles when deploying cloud services across borders. High net revenue retention (above 150 per cent) suggests customers are expanding usage after initial deployment, a key validation in recurring‑revenue businesses.

Also Read: Toku files for SGX Catalist IPO, doubles down on partner-led go-to-market strategy

That said, execution risk remains. The competitive landscape is crowded with global incumbents (Cisco, Genesys), cloud‑native challengers and regional specialists, all vying for enterprise budgets. Toku’s success will depend on converting initial customer wins into scalable, repeatable logos and on maintaining margins while investing in high‑cost AI and infrastructure.

The post What Toku’s IPO reveals about demand for enterprise AI in Asia appeared first on e27.