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Ecosystem Roundup: The KoinWorks case and what it means for Indonesian fintech

 

The detention of three senior executives from PT Lunaria Annua Teknologi—the parent company of KoinWorks—over the alleged misappropriation of IDR600 billion in funds from state lender BRI is not merely a legal affair. It is a reputational shockwave hitting one of Indonesia’s most visible fintech platforms even as the sector continues to depend heavily on public and institutional trust to sustain growth.

KoinWorks built its identity on democratising financial access for MSMEs and underserved communities. That narrative becomes acutely difficult to maintain when its own leadership stands accused of the kind of financial misconduct it was ostensibly built to combat. The platform’s silence — no public statement as of publication—compounds the reputational damage at precisely the moment transparency is most needed.

For Indonesia’s broader tech startup ecosystem, this case serves as a cautionary signal that governance, compliance infrastructure, and ethical conduct at the executive level are not optional—they are existential.

REGIONAL

Three KoinWorks executives detained in Indonesian corruption probe over US$36M in misused BRI funds: All three suspects have been remanded in custody for 20 days with BAA and JB at Cipinang Detention Centre, and BH at Salemba Detention Centre–pending further proceedings.

Vietnam talents face digital skills gap as employers raise the alarm: The message from the business community is that technical fluency is no longer a niche requirement confined to the tech sector. It is fast becoming a baseline expectation across manufacturing, logistics, commercial operations, and beyond

ReN3 raises US$5M in seed funding to expand Agentic AI across Southeast Asia: The capital will be directed towards accelerating go-to-market expansion across the region and advancing product development, including an agentic workflow builder and an upcoming agent marketplace.

Featherless AI secures backing to make open-source models viable at enterprise scale: The funding is intended to accelerate the company’s core mission: making open-source AI practical and reliable at scale.


INTERVIEWS & FEATURES

Singapore’s F&B sector has a digital infrastructure problem. Cata thinks it can fix it: Cata, a consumer app platform serving F&B and retail operators, recently closed a US$5.3 million seed round to accelerate what its founder describes as a fundamentally different approach to restaurant tech.

Lumina’s Aria aims to fix what is broken at the top of the hiring funnel: At the heart of Lumina’s proposition is what Glenn Low, the company’s CEO and co-founder, describes as a signal-to-noise problem in hiring.

AI skills now translate into real pay gains for software engineers, NodeFlair finds: The findings point to a tech labour market in which AI fluency has moved from a desirable attribute to a measurable financial advantage.


INTERNATIONAL

Anthropic surpasses OpenAI in revenue: Anthropic’s annual recurring revenue eclipsed OpenAI’s for the first time, reaching a US$30 billion annualised run rate compared to OpenAI’s $24 billion, driven primarily by enterprise adoption of agentic workflows.

Google Chrome silently installs an AI model: Google Chrome has been quietly installing a 4 GB AI model on user devices without explicit consent, raising significant privacy concerns about the nano AI model being bundled automatically with the browser.


CYBERSECURITY

Malware Found in PyTorch Lightning Library: Security researchers discovered “Shai-Hulud” themed malware embedded in the PyTorch Lightning AI training library, designed to compromise AI training pipelines.


SEMICONDUCTOR*

Global semiconductor sales increase 25 per cent from Q4 2025 to Q1 2026: Global sales were US$99.5 billion during the month of March 2026, an increase of 79.2 per cent compared to the March 2025 total of US$55.5 billion and 11.5 per cent more than sales in February 2026.

Singapore semiconductor firms push into US market as global AI boom drives advanced chip demand: Each new advancement is fuelling demand for increasingly sophisticated chips – many of which have yet to be developed, observers say.


AI

IBM releases Granite 4.1: IBM released Granite 4.1, an 8-billion-parameter model that achieves performance comparable to 32-billion-parameter Mixture-of-Experts models.

Kaggle launches new AI agents course: Kaggle launched a 5-Day AI Agents Intensive “Vibe Coding” Course with Google, following their previous course that reached over 1.5 million learners.

Anthropic’s MCP crosses 97M installs: Anthropic’s Model Context Protocol crossed 97 million installs in March 2026, with every major AI provider now shipping MCP-compatible tooling. The Linux Foundation also announced it would take MCP under open governance, cementing it as foundational industry infrastructure.


THOUGHT LEADERSHIP

One flawed system can damage a micro business overnight: But in this new economy, one thing has not changed: Trust remains the currency of business.

AI won’t fix manufacturing until we fix our understanding: This is especially evident in food systems. Unlike highly controlled digital environments, food production deals with biological raw materials that are inherently variable.

The same company, twice: There is a simpler explanation. It is not popular, because it implicates the people who commissioned the transformation in the first place.

The real battle for global trade isn’t at sea: “We’re still talking about ships and chokepoints. But the real action has already moved elsewhere—to data systems, financial infrastructure, and payment rails”.

5 hard lessons from Money20/20 Asia 2026: Moving past the hype requires a brutal look at the friction inherent in the region. One must look beyond the “unbanked” narrative and confront the debt currently slowing our progress.

Workforce management needs a supply chain mindset: One approach that has emerged is the R7 Framework, which applies supply chain thinking to talent management.

AI is removing the co-founder bottleneck for early-stage startups: “As someone who has always been interested in entrepreneurship, I always thought the biggest challenge was finding the right idea”.

The real promise of AI and crypto convergence: It signals a fundamental rearchitecture of how value moves, how decisions execute, and how intelligence itself gets distributed across digital networks.

Why Bitcoin’s jump to US$82,400 could push BTC to US$93,000: The spike above US$82,000 was not random. Multiple factors aligned to create upward momentum.

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When cyber risk becomes a board responsibility, governance matters more than tools

Across Southeast Asia, cyber risk is now a boardroom topic. Regulators, investors, and executive leadership teams increasingly treat cyber incidents not as technical failures, but as matters of enterprise governance, resilience, and accountability.

As expectations rise, many organisations face a persistent challenge. While cyber risk is widely understood, ownership and governance are often unclear, especially when accountability is under regulatory, legal, or post-incident scrutiny. The SEC’s July 2023 final rules under Regulation S-K Item 106 now require public companies to describe board oversight and management’s role in assessing and managing cybersecurity risk.

In Singapore, Phase 2A of the Financial Services and Markets Act 2022 commenced on 10 May 2024, implementing new technology risk management provisions and empowering MAS to impose harmonised technology and cybersecurity risk requirements across all financial institutions.

Globally, the fifth edition of the NACD-ISA Director’s Handbook on Cyber-Risk Oversight reinforces the same expectation, providing boards with an independently validated framework for cyber risk governance built on six oversight principles. The direction is consistent: cyber risk governance is a leadership accountability, not a technical function.

Also read: Cybersecurity strategies for startups on a budget

The auditability gap

Despite increased awareness, many organisations continue to manage cyber risk through fragmented structures. Boards receive dashboards rather than decision-grade evidence of who decided what, against which risk appetite, and with what compensating controls in place.

This is the auditability gap: not a lack of controls, but a lack of defensible governance evidence. It is a challenge playing out across industries where the stakes are especially high, from banking and financial services to manufacturing and the EV and mobility sector, where cyber risk intersects directly with business continuity, safety, and regulatory compliance.

In financial services, institutions are under pressure to demonstrate technology risk governance. In manufacturing, IT/OT convergence has expanded exposure and governance complexity. In the EV and mobility sector, software-defined and connected environments introduce cyber risks with real-world legal and safety implications.

Regional expansion plans

Against this backdrop, Cybersense Solutions today announced the launch of its Southeast Asia operations, establishing Singapore as its regional base. Thailand also has been selected as the firm’s first expansion market, driven by demand from manufacturing-led industries, a growing EV ecosystem, and an evolving cybersecurity regulatory landscape.

“Most organisations already understand where their vulnerabilities are,” said Adrian Harris, Regional Managing Director, Cybersense Solutions. “The issue is rarely awareness, it’s ownership. Decisions around cyber risk are frequently deferred because accountability sits between departments, between legal and IT, between the board and the operations team. Cybersense exists to close that gap: to give organisations a single partner that can take responsibility for turning risk awareness into structured, defensible action.”

Also read: Supply chain attacks are becoming SEA’s new normal

Governance-first approach

Cybersense’s establishment reflects a growing shift toward governance-first cyber risk management. Its engagement model integrates cybersecurity operations, regulatory compliance, operational resilience, and legal defensibility with a single focus: turning cyber risk from known to governed, accountable, documented, and defensible. The emphasis is on outcomes that hold under scrutiny, including clearer accountability structures, audit-ready artefacts, and structured incident readiness, rather than technology procurement.

As organisations operate in increasingly interconnected and regulated environments, the ability to govern cyber risk with clarity, consistency, and defensibility is becoming a defining leadership requirement.

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About Cybersense Solutions

Cybersense Solutions Pte. Ltd. is a Singapore-headquartered cybersecurity firm with a presence across ASEAN. We combine legal and technical expertise to help organisations accelerate audit readiness, strengthen incident preparedness and reduce exposure from common attack paths.

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Networking is expanding, but execution still lags

As the new year begins, the startup ecosystem quickly regains momentum. Annual event calendars fill up, demo days resume, and conferences once again become central meeting points. January and February are often positioned as the starting line for new connections.

Yet one familiar pattern persists. While the number of meetings continues to grow, the rate at which they translate into real outcomes does not.

As preparations for 2026 are already underway, this gap can no longer be explained by individual effort alone. It points to a structural limitation across the ecosystem.

Connections are made, but the next step is undefined

Most startup events are carefully designed to optimise introductions. Pre-matching, pitch sessions, and curated meetings are now standard practice. What remains underdeveloped is what follows.

  • Ownership of the next action is unclear
  • Context from the discussion is rarely structured
  • Criteria for prioritisation and follow-up are undefined

As a result, conversations with genuine potential often fail to progress into customers, partnerships, or investments.

Follow-up is not an individual skill gap

At the start of every year, teams resolve to “do better follow-ups.” Yet when the same issue repeats annually, it signals a systemic problem rather than a personal one.

The ecosystem has invested heavily in pre-meeting optimisation, but very little in post-meeting execution design.

Without clarity on:

  • What type of relationship could a meeting evolve into
  • What the immediate next step should be
  • When decisions should be made

Follow-ups remain dependent on memory and goodwill, not process.

Also Read: Why networking, not online applications, now determines career success

A common early-year reflection

In early-year conversations with founders, investors, and ecosystem operators, a consistent reflection emerges: there were many promising meetings last year, but few translated into concrete outcomes.

This is not a failure of networking quality. In many cases, the quality has improved. The challenge lies in the absence of a shared structure that turns connection into execution.

January and February are not only about starting new conversations, but about reassessing whether last year’s methods were effective.

How some organisations are responding

A growing number of venture studios, accelerators, and communities are beginning to treat this as a core operational issue. They no longer see networking as a series of isolated events, but as a continuous execution flow.

Their questions are straightforward:

  • What outcome should this meeting lead to?
  • What is the smallest actionable next step?
  • How can this process become repeatable?

This shift reframes follow-up not as an administrative task, but as the beginning of execution.

An early-year question for a 2026 mindset

As we prepare for 2026, the more relevant question is no longer how many meetings we generate, but how many we can convert into outcomes.

This is not something a single tool or framework can solve. It requires venture studios, accelerators, communities, and investors to collectively rethink how the “after” of a meeting is designed.

Follow-up as strategy

Follow-up has long been treated as the final step of networking. Seen through an early-year lens, it is closer to the starting point of execution.

As the ecosystem looks ahead to 2026, the real advantage will not come from meeting more people, but from building structures that reliably turn meetings into progress.

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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Why range, not results, defines real success

If you’re building a company, one thing’s guaranteed: your year never turns out exactly the way you planned it. You’ll set goals, build decks, forecast projections, and then life, markets, people, and the unexpected will take those plans and rewrite them in real time.

But that’s the game. If you’re playing it right, your outcomes won’t always be linear or neat. They’ll fall somewhere in a range. And if you’ve planned for that range — financially, operationally, emotionally — you’ll stay in the game long enough to win.

For us, this past year was about fortifying. We focused on strengthening our treasury, increasing our runway, and onboarding a new tier of clientele that aligned with our long-term vision. There were no shortcuts. No easy wins. Just disciplined execution and lots of hard conversations.

And, of course, the setbacks came: macro shifts in markets, family health scares, missed deals, and a few internal restructures. But that’s what makes the year valuable. It wasn’t about whether we hit every KPI. It was about whether we built the resilience and optionality to respond when things didn’t go as expected.

Margins and mergers: What tech got right (and wrong)

Look at some of the tech giants this year. Apple doubled down on margin, launching new products that leaned heavily on services revenue and ecosystem lock-in. Meta swung aggressively into acquisitions and infrastructure, pulling top talent and AI muscle from OpenAI to scale their internal capabilities. Amazon streamlined operations and focused on logistics scale, while Google absorbed criticism around Gemini and kept shipping updates and new integrations.

Some wins. Some flops. But across the board, you’ll notice one pattern: they played within a range. These companies don’t optimise for a single quarter. They optimise for staying relevant over decades. And they do that by building in buffers: cash reserves, diversified products, partnerships, and control over cost centres so that when things break, they bend instead of snap.

It’s a mindset founders need to adopt earlier. If you’re still operating on a binary success model — win the deal or die trying — you’re exposing yourself to unnecessary volatility. Instead, build your business to survive the range: five per cent margin or 25 per cent, two clients this month or ten, fast growth or slow build. Give yourself the grace and the structure to be adaptable.

Also Read: Tried-and-tested marketing strategies for startups across all stages in Singapore

When balance sheets become a strategy

At NewCampus, this year wasn’t about vanity metrics. It was about balance sheet power.

We focused heavily on improving our unit economics and deploying capital into areas that offered compounding value: team systems, delivery scale, and pipeline stability. We put real time into tightening our gross margins and revisiting vendor relationships. We didn’t just want top-line growth. We wanted defensible, predictable, and scalable foundations.

That meant saying no to certain markets. It meant moving slower than our competitors in some regions. But it also meant that by the time we rolled out new programs, expanded to new verticals, or onboarded high-value clients, we had the operational muscle to handle it.

For founders, this is the unsexy stuff that makes or breaks the long game. Flashy announcements are great. But a clean balance sheet, a solid treasury, and optionality in how you finance growth? That’s what gives you breathing room when the market pulls back, or priorities shift.

Loss, life, and learning the hard way

This wasn’t an easy year. Not for anyone. Some of us lost family. Others lost entire markets. And in both cases, the rules of the game changed without notice.

There were weeks when I was nowhere near my best. Times when leadership meant just showing up. Being present for your team even when your mind and heart were a thousand miles away. And that’s what most founders don’t say out loud. Sometimes your growth comes from survival, not scale.

These moments — losses, missed quarters, tough pivots — aren’t failures. They’re reminders. That this isn’t just about valuations or headlines. It’s about building something that outlives your worst days. Something your team believes in. Something your clients rely on. And something you, personally, can be proud of.

Range means understanding that some years will be about momentum. Others will be about maintenance. And some will be about recovery. They’re all valid. They all count.

Also Read: Why AI startups across Southeast Asia are shipping themselves into churn

Looking ahead: Build with range, play the long game

As we roll into a new year, founders should reflect less on what they achieved and more on what they absorbed. What shocks did your business weather? What new muscles did your team build? Where did you gain resilience?

If you’re too focused on chasing outcomes, you’ll miss the signals. You’ll over-invest in the wrong levers. You’ll miss the nuance that success isn’t a straight line. It’s a set of probabilities, and your job is to shift the odds in your favour.

For us, the next year won’t just be about new customers or revenue milestones. It’ll be about increasing our strategic range: diversifying capital, experimenting with financial products, and playing where we have an edge. That includes working more with high-growth customers in finance and crypto, expanding our delivery footprint, and structuring our business to ride the cycles, not get wrecked by them.

Final thought: if you’re a founder, stop asking yourself “Did we win?” Start asking: “Did we widen our range for next year?” Did we build margin? Optionality? Strategic leverage? Because if you did, you didn’t just survive the year. You set yourself up to dominate the next one. And that’s the kind of growth that lasts.

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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Time is the new currency: Why APAC’s SMEs can’t afford slow financing anymore

The adage of “time is money” has never been truer in the world of SME financing.

Across APAC, businesses today have more funding options than ever: banks, venture debt, revenue-based financing, and crowdfunding. Yet many SMEs will tell you that access isn’t actually their biggest hurdle. The real gap is time. Capital often shows up long after the moment it was needed, and in the world of small businesses, that delay can be the difference between catching a growth wave or missing it entirely. 

As founders, we operate in digital time: sales spike overnight, opportunities appear without warning, and customer behaviour shifts in hours. Meanwhile, financing still moves on institutional time: weeks of paperwork, follow-ups, and risk checks.  

The next big shift in APAC fintech, in my view, will be defined not by who can offer the best rates, but by who can collapse the time between need and capital. 

The cost of missing the moment 

For SMEs, growth rarely comes in predictable, linear curves. It comes in spikes: festive season peaks, viral TikTok moments, urgent restocking opportunities, or that one bulk-discount offer on  11.11, 12.12, and Black Friday that could double margins. 

But these moments have an expiry date. A delay of just a few days can mean losing a container slot, missing out on discounted raw materials, or being outbid by a competitor who restocked faster. Slow financing doesn’t just slow you down; it closes doors. 

In a digital economy, when funding arrives too late, the business doesn’t just lose revenue, it loses momentum and customers. That’s something traditional lenders still underestimate. 

That said, the gap isn’t due to a lack of good intentions from traditional lenders. It’s structural. 

Traditional underwriting was built for stability: multi-year financial statements, predictable cash flow, and long cycles. But modern SMEs grow in bursts. This is especially true for online or cross-border merchants, whose performance is driven by multiple market forces such as currency fluctuation, changing regulations, and demand across regions. By the time the paperwork clears, the business environment has already changed. 

Also Read: Late-stage capital tightens grip on Southeast Asia’s fintech market

Why time-to-funding will become the new competitive edge 

This is where fintech has started to close the gap: by reading a business’s momentum rather than its past. 

At Choco Up, for instance, our AI-driven assessment pulls real-time data across payment processors, digital platforms, and advertising dashboards (with a business’s consent). That means we can evaluate performance instantly, not weeks later. Automated decision-making, supported with human input, then turns what used to be a multi-step manual review into a same-day decision. 

This changes the game. And I’ve personally seen this play out, with one example being BatteryMate, a fast-growing online seller in the region. They hit a high-demand period but needed to restock quickly to maximise the momentum. Traditional financing timelines would have caused them to miss the window entirely.

As their founder shared with us, importing from China ties up cash for 60 days or more, and traditional lenders still evaluate them like a brick-and-mortar store. With fast funding, they avoided a 12–18 month delay in launching new models and became the first in Australia to roll out new variants ahead of competitors.

With automated assessment and quick deployment, they secured the capital immediately and rode the demand surge. That agility directly translated to higher inventory turnover, stronger cash flow, and an accelerated expansion timeline.  

When funding moves at the same pace as the business, founders can seize opportunities the moment they appear. For many SMEs, the financing partner they choose increasingly comes down to the speed at which the capital can be deployed rather than on interest or structure alone. 

I’ve seen this play out repeatedly, where fast funding supports: 

  • Quick inventory turnover 
  • Rapid customer acquisition 
  • Cash flow health 
  • Pace of expansion 

As SMEs become more data-driven, they naturally gravitate toward financing partners who operate at that same rhythm. 

Also Read: 2026’s fintech imperative: Lend responsibly, scale smartly, and build for the long term

The next leap for APAC fintech: Integrated and invisible financing 

Looking ahead, I believe financing will become even more embedded into the platforms SMEs already use. Marketplaces, payment providers, logistics platforms – they’re all sitting on rich, real-time data that reflects how a business is performing. It’s only a matter of time before these platforms become seamless entry points for capital. 

Imagine receiving a funding offer inside your seller dashboard the moment your sales spike. No separate application. Just capital that shows up at the exact moment your business signals it needs it. When financing becomes invisible and integrated, SMEs won’t just get faster loans; they’ll operate in faster lanes. 

If APAC wants to unlock the full potential of its SME ecosystem, we need to solve the time gap, not just the capital gap. The good news is that the region is primed for it: high digital adoption, strong platform economies, and a thriving fintech landscape mean the foundations are already in place. 

The next wave of fintech innovation in APAC will be shaped by speed. Financing should move at the pace of founders. Because in the world of SMEs, growth doesn’t wait. And neither should capital. 

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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Three KoinWorks executives detained in Indonesian corruption probe over US$36M in misused BRI funds

Indonesia’s Jakarta High Prosecutor’s Office has detained three senior executives linked to KoinWorks, one of the country’s leading fintech platforms, over alleged corruption in the disbursement of IDR600 billion (approximately US$36 million) in funds from state lender Bank Rakyat Indonesia (BRI).

The suspects are BAA, the Operations Director of PT Lunaria Annua Teknologi (PT LAT) from 2021 to the present; BH, who served as President Director of PT LAT from 2015 to 2022 and has held the role of Commissioner since 2022; and JB, the current President Director of PT LAT.

PT Lunaria Annua Teknologi is the parent company of KoinWorks.

Dapot, head of the Legal Information Section at the Jakarta High Prosecutor’s Office, stated that the three suspects conducted an incorrect analysis that resulted in the improper release of insurance-related funds from BRI through the KoinWorks platform. “The prosecutor’s office is currently investigating the involvement of other parties,” Dapot told Tempo.

Investigators have also conducted asset seizures, collected evidence, and are pursuing a deeper inquiry into the alleged involvement of BRI and customers who took part in the manipulation. The three suspects face charges under Article 603 or Article 604 in conjunction with Article 20(c) and Article 126(1) of Indonesia’s Criminal Code, as well as Article 18(1) of the Law on the Eradication of Criminal Acts of Corruption.

Also Read: Inside Indonesia’s US$610M Chromebook scandal: Raids, arrests, and Nadiem Makarim under scrutiny

All three suspects have been remanded in custody for 20 days with BAA and JB at Cipinang Detention Centre, and BH at Salemba Detention Centre–pending further proceedings.

KoinWorks was founded in 2016 as a peer-to-peer (P2P) lending platform with a mission to improve financial access for underserved communities across Indonesia. The company has since expanded into a broader digital financial services provider, offering a neobank, working capital loans, invoice factoring, early wage access, and treasury management products primarily targeted at micro, small and medium enterprises (MSMEs) and freelancers.

The platform also features a marketplace of integrated business applications, including accounting software, point-of-sale systems, e-commerce tools, HR management software and a budgeting application — positioning itself as a one-stop financial and productivity ecosystem for small business owners.

In 2022, KoinWorks secured a US$108 million Series C funding round led by MDI Ventures, the corporate venture capital arm of Indonesian state-owned telecoms group Telkom Indonesia. The company reported it doubled its registered user base to more than 1.5 million users during the COVID-19 pandemic, citing increased demand for digital financial services during the period.

KoinWorks and its representatives had not issued a public statement regarding the allegations as of the time of publication. The Jakarta High Prosecutor’s Office said the investigation is ongoing.

Image Credit: Sasun Bughdaryan on Unsplash

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Agentic economy: The real promise of AI and crypto convergence

The convergence of Artificial Intelligence and cryptocurrency represents far more than a passing market fascination. It signals a fundamental rearchitecture of how value moves, how decisions execute, and how intelligence itself gets distributed across digital networks. By early 2026, we will be witnessing AI-driven crypto agents and decentralised infrastructure networks actively reshaping blockchain utility, market analysis, and automated trading.

This sector’s market capitalisation frequently surges on increased adoption and developer activity, but the real story lies beneath the price charts. We are observing the emergence of a new operational paradigm where autonomous intelligence and decentralised trust protocols fuse to create systems that are not only more efficient but also more resilient and transparent than their centralised predecessors.

The rise of the AI agent economy marks a pivotal evolution. These are no longer simple chatbots confined to answering questions. They are becoming autonomous actors capable of making independent decisions and executing transactions directly on-chain. Networks like Solana provide the necessary high speeds and low fees that allow these agents to operate at scale.

This shift enables agentic finance, where AI begins managing portfolios, optimising DeFi yields, and conducting what we might call agentic commerce. The potential scale is staggering, with projections suggesting these agents could handle billions in transactions by 2030. This is not merely automation. It represents a transfer of financial agency from human hands to algorithmic processes that can operate continuously, analyse vast datasets in real time, and execute complex strategies without fatigue or emotional bias.

Decentralised physical infrastructure networks, or DePIN, provide the critical backbone for this intelligent future. These projects use crypto incentives to aggregate idle GPU power from around the globe, creating a decentralised alternative to the high-cost, centralised providers that currently dominate AI training. This model not only reduces barriers to entry for developers but also aligns with a core principle of the crypto ethos: distributing power and access.

Also Read: Why AI agents need clean data, and why Cambodian real estate isn’t ready yet

Simultaneously, AI enhances the security of these very systems. Machine learning models now detect fraud patterns, identify phishing attempts, and monitor for wallet compromises in real time. This proactive defence layer is essential for DeFi protocols that manage significant value and operate without traditional intermediaries. The synergy is clear: decentralised infrastructure supports the growth of AI, while AI fortifies the security of decentralised systems.

Several key projects illustrate the practical implementation of this convergence. Bittensor stands out as a prominent decentralised AI network that creates a marketplace for machine learning models, rewarding contributors with tokens for their work. The Artificial Superintelligence Alliance, formed by the merger of Fetch.ai, SingularityNET, and Ocean Protocol, focuses on building autonomous AI agents and open, decentralised AI infrastructure.

Render provides a decentralised network for GPU power, serving both 3D graphics rendering and AI model training. Meanwhile, Coinbase x402 represents an emerging HTTP standard that enables autonomous agents to manage payments for API services using crypto, facilitating seamless machine-to-machine transactions. These are not speculative concepts. They are live networks with active development, demonstrating tangible progress toward a more intelligent and decentralised digital economy.

Market performance reflects this growing conviction. AI tokens frequently outperform the broader crypto market during bullish cycles, driven by high investor interest and the narrative of transformative potential. Experts project significant growth through 2026, anticipating that AI will transition into the financial backend for automated systems. A compelling forecast suggests AI agents could eventually outnumber humans in on-chain transactions.

This is not a replacement for human activity but an expansion of economic participation through intelligent proxies. The long-term goal extends beyond efficiency gains. It aims to create transparent, decentralised Global Brains that avoid the risks of censorship, bias, and data monopolies inherent in centralised AI systems. This vision aligns with a fundamental belief that the benefits of advanced intelligence should be distributed, not concentrated.

However, this path forward is not without significant challenges. Price volatility remains a constant factor, as AI tokens are subject to high fluctuations and hype-driven cycles. Many projects face sharp corrections after initial surges, reminding participants that technological promise does not immunise assets from market dynamics. Regulatory uncertainty presents another substantial hurdle.

Also Read: The rise of AI agents in healthcare: Designing man-machine systems

Policymakers are still defining rules for AI-driven transactions, particularly concerning liability when autonomous agents act on behalf of users. This grey area creates friction for institutional adoption and mainstream integration. Operational risk also demands serious attention. The potential for rogue or exploited agents to execute unintended transactions poses real security and financial risks. Addressing this requires better frameworks for auditable autonomy, where agent actions can be traced, verified, and, if necessary, reversed without compromising the decentralised nature of the system.

This convergence is shaped by a commitment to human-centric decentralisation from my point of view. The true promise of merging AI with crypto lies not in creating faster speculation engines but in building systems that enhance human agency, protect privacy, and distribute the benefits of intelligence broadly.

We must remain vigilant against simply replicating centralised power structures under a new technological veneer. The development of auditable autonomy, transparent model training, and community-governed infrastructure is not an optional feature. They are essential safeguards. The projects that thrive will be those that prioritise these principles while delivering tangible utility. The next phase of this evolution will separate foundational infrastructure from transient hype.

Also Read: AI agents didn’t change how I write, they changed when I could start publishing

Those building with a focus on interoperability, security, and genuine decentralisation will lay the groundwork for systems that can scale responsibly. This convergence offers a rare opportunity to shape the next layer of the internet with intention. We have the chance to embed values of openness, resilience, and equitable access into the very architecture of intelligent systems.

The technical challenges are substantial, and the market will inevitably experience volatility. But the direction is clear. We are moving toward a future where intelligence and value transfer are not siloed functions but integrated capabilities of a decentralised digital world. The work now is to ensure that the future remains aligned with human flourishing.

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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Singapore’s only Jamf Elite Partner is coming to Echelon 2026

When it comes to managing Apple devices at scale, Jamf sets the standard, and in Singapore, there is only one company that Jamf has recognised at its highest tier: Aeon Earth

Jamf Elite Partner status is not handed out freely. It signals deep technical expertise, proven deployment experience, and a close working relationship with Jamf itself. For organisations that run on Apple or want to, it means having a local partner who can do far more than simply resell a licence.

Jamf is trusted by more than 76,600 organisations worldwide, manages and secures more than 33.6 million devices. As Singapore’s sole Elite Partner, Aeon Earth is uniquely positioned to deliver that same level of capability locally.

What Apple at scale actually looks like

Aeon Earth has deployed thousands of Apple devices across businesses, government institutions, and schools. Their team brings the full Jamf platform to bear, covering device provisioning, ongoing management, app deployment, inventory, security, and user self-service, all tuned to the specific workflow of each organisation.

Whether a company wants zero-touch deployment, where devices are shipped directly to employees and ready to use out of the box, or prefers a more hands-on setup, Aeon Earth designs and executes the full process. Beyond configuration, the platform gives IT teams the ability to enforce security policies, manage software licences, patch devices without user interaction, and give employees a self-service app portal, reducing helpdesk load significantly.

Also read: Scaling Southeast Asia: Who to meet at Echelon Singapore 2026 

End-to-end Apple support under one roof

Aeon Earth also operates as A.LAB, an Apple Authorised Service Provider offering fast and certified repairs backed directly by Apple standards. Technicians undergo regular Apple training and formal assessment, so organisations get qualified and professional support without routing tickets to an overseas service centre.

As an Apple Technical Partner, the ALAB360 team is certified to advise, deploy, and support the latest Apple products, making Aeon Earth a single point of contact for companies that want their Apple investment properly managed from day one. For organisations going through a tech refresh, Aeon Earth can also buy back old iPhone, iPad, and Mac devices with data erasure, providing a practical and straightforward way to retire ageing hardware.

Built for startups and SMEs

Many early-stage and growing companies default to Windows-based environments simply because that is what most IT vendors know. Aeon Earth makes the Apple-first path genuinely accessible, with tooling, expertise, and local support to make it work at any size, from a ten-person team to a multi-office operation.

The combination of Jamf’s platform and Aeon Earth’s hands-on advisory means a startup can move quickly without sacrificing security or control, and scale without having to re-architect their device management approach every time the business grows. For SMEs looking to modernise their IT without building a large internal team, it is a particularly compelling proposition.

Also read: Meet the companies taking the floor at Echelon Singapore 2026 

Find them at Echelon Singapore 2026

Echelon Singapore 2026 returns from 3 to 4 June at Suntec Singapore Convention & Exhibition Centre, Level 4, bringing together the region’s most ambitious builders, operators, and capital allocators. Aeon Earth will be on the exhibition floor, available to discuss Apple device management, Jamf solutions, end-to-end product lifecycle, and how they can help your organisation succeed with Apple at scale. As the only Jamf Elite Partner in Singapore, they are worth a visit.

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The e27 team produced this article sponsored by Aeon Earth

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Featured Image Credit: Aeon Earth

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Why Bitcoin’s jump to US$82,400 could push BTC to US$93,000: Key levels every investor must watch

Bitcoin’s brief climb above US$82,000 represents more than a simple price fluctuation. It reflects a confluence of macro relief, institutional demand, and derivatives positioning that deserves careful examination. The move from approximately US$80,500 to US$82,400 lifted Bitcoin’s market capitalisation near US$1.65 trillion and pushed total crypto market value toward US$2.8 trillion. This action occurred against a backdrop of easing Middle East tensions and robust spot ETF inflows, creating a perfect storm for a sharp, sentiment-driven rally.

The spike above US$82,000 was not random. Multiple factors aligned to create upward momentum. Easing US-Iran tensions following a pause in Strait of Hormuz operations reduced geopolitical risk premiums, which in turn triggered a sharp drop in oil prices. WTI crude fell nearly 12 per cent to US$90.50 while Brent settled below US$110. This macro relief boosted risk appetite across global markets.

Simultaneously, Bitcoin-focused US spot ETFs recorded strong net inflows, with approximately US$467 million added in a single day. This multi-day streak of positive flows reinforced demand from institutions and larger buyers who view volatility as an entry opportunity rather than a deterrent.

The combination of lower oil prices, reduced geopolitical tension, and persistent ETF accumulation created a supportive environment for Bitcoin to test the low US$80,000s while maintaining dominance around 60 per cent of the total crypto market.

Also Read: Bitcoin just hit US$80K again, but this rally is built on shaky ground

What made this move particularly interesting was the role of derivatives positioning. The rally was amplified by a short squeeze that caught many traders off guard. Reports indicate that around US$66 million in BTC shorts were liquidated in just 4 hours, with total BTC liquidations reaching approximately US$188 million as the price pushed toward US$83,000.

Over a 24-hour window, estimates suggest more than US$200 million of BTC shorts were closed out as the price ripped past US$82,000. This liquidation cascade was fueled by crowded short positions and persistently negative funding rates, marking the longest streak of negative funding this decade.

Perpetual open interest remains elevated at mid-hundreds of billions of dollars, while average funding remains slightly negative. This setup creates classic conditions for squeeze-driven volatility, where spot demand and ETF inflows can force reluctant shorts to cover at higher prices, accelerating upward momentum.

From a technical perspective, several key levels now define the near-term trajectory. The US$80,000 region serves as critical support, while the US$83,000 to US$85,000 band represents the next major resistance zone. Bitfinex analysts have highlighted a daily close trigger around US$84,766 as a signal for further upside. On the downside, a break below US$75,000 to US$78,000 would suggest a failed breakout and potential retest of lower supports.

Options and liquidity maps show clustering around US$85,000 to US$90,000, with some analysts noting a futures gap near US$93,000 that could act as a magnet if squeeze conditions persist. These upside targets depend on sustained spot demand and continued ETF inflows. If funding rates flip decisively positive while open interest spikes and ETF flows slow, the risk profile shifts from short squeeze to overleveraged longs, which can reverse just as quickly as they formed.

Also Read: The US$100K Bitcoin blueprint: How regulatory clarity just changed the game

The broader market context reinforces the interconnected nature of today’s financial systems. Global markets on 7 May 2026 displayed strong risk-on sentiment as optimism grew around a potential diplomatic breakthrough between Washington and Tehran. US indices closed at fresh record highs with the S&P 500 rising 1.5 per cent to 7,343.34 and the Nasdaq Composite jumping 2.1 per cent to 25,698.14.

European markets rallied sharply, with the EURO STOXX 50 gaining three per cent , Germany’s DAX rising 2.8 per cent , and France’s CAC 40 advancing 3.2 per cent . Asian markets followed suit with Japan’s Nikkei 225 rising 0.38 per cent and South Korea’s KOSPI hitting record highs earlier in the week.

This synchronised global rally provided a tailwind for Bitcoin, demonstrating how crypto assets increasingly move in tandem with traditional risk assets during periods of macro clarity. Gold rose over three per cent to US$4,712 as investors balanced optimism with hedging, while the US Dollar weakened broadly with USD/JPY trading around 156.84.

At the time of writing, Bitcoin trades at US$81,430, placing it just above the psychological US$81,000 level. The immediate path forward hinges on whether Bitcoin can sustain above this threshold. Key resistance for the total market cap sits at the 161.8 per cent Fibonacci extension level of US$2.87 trillion.

Upcoming US ETF flow data will serve as a critical gauge of institutional follow-through. If net inflows remain positive while funding rates stay slightly negative, the market structure continues to favour squeeze-driven volatility with an upward bias.

Conversely, if ETF demand weakens or leverage becomes one-sided with funding flipping positive, the same setup that fueled the rally could quickly trigger a sharp correction.

Also Read: The US$75,000 line in the sand: What happens to markets if Bitcoin breaks below

This episode underscores the maturation of Bitcoin’s market structure. The presence of regulated ETF vehicles now provides a stabilising source of demand that can absorb short-term volatility as macro headlines shift. At the same time, the derivatives market remains a potent amplifier of price moves, for better or worse. Traders who fade rallies with shorts while spot and ETF flows stay strong create the conditions for extended squeezes.

This dynamic rewards patience and discipline while punishing excessive leverage. The key edge right now lies in monitoring the balance between spot inflows and derivatives positioning. As long as institutional demand via ETFs persists and funding remains slightly negative, the path of least resistance favours further upside tests. Markets never move in straight lines. A break back below US$78,000, accompanied by negative macro news, would argue this was a relief rally rather than the start of a new leg higher.

Focus on the signals that matter most: net ETF flows, the balance between spot and derivatives activity, and macro developments around geopolitical tensions and oil prices. And not those influencers who know nothing.

In a market where leverage can amplify both gains and losses, discipline and selective exposure trump reactionary trading. Bitcoin’s journey above US$82,000 was not an endpoint but a reminder that digital asset markets continue to evolve, demanding both technical understanding and macro awareness from those who seek to participate meaningfully.

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.

Join us on WhatsAppInstagramFacebookX, and LinkedIn to stay connected.

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Lumina’s Aria aims to fix what is broken at the top of the hiring funnel

The Aria dashboard

For most companies, the hiring process begins the same way: a recruiter opens a folder of resumes and starts reading. Across a pool of 100 candidates, that manual first-pass screening can consume more than 80 hours of interviewer time before a single meaningful conversation takes place. Singapore-based AI company Lumina believes that the number should be closer to zero.

Lumina recently launched Aria, an AI hiring agent designed to overhaul first-pass candidate screening. The product conducts structured, voice-based interviews asynchronously, evaluates candidates across three dimensions, and delivers ranked outputs that hiring teams can review in under a minute per candidate — a reduction the company estimates at up to 50 times faster than current manual processes.

At the heart of Lumina’s proposition is what Glenn Low, the company’s CEO and co-founder, describes as a signal-to-noise problem in hiring.

“The signal is whether a candidate can actually do the job,” Low explains. “The noise is everything that obscures that signal — inflated resumes, keyword optimisation, and subjective interpretation during early screening.”

As AI-assisted resume writing becomes more widespread, Low argues the problem compounds. Candidates optimise their documents for keywords. Recruiters apply shortcuts — university names, previous employers, gut feel — that introduce variability into what should be a consistent evaluation process. Resumes, as Low puts it, are “2D representations of 3D people,” inherently incomplete documents that companies compensate for with first-round interviews.

Also Read: From HR to talent flow: Why workforce management needs a supply chain mindset

Aria is Lumina’s attempt to restructure that early funnel before human judgment enters the picture.

How Aria works

The process begins with resume-to-job description matching, which shortlists candidates before any interview takes place. Those who advance receive a link to complete a voice interview at their own convenience, eliminating the need for calendar coordination between recruiters and candidates.

During the interview, Aria follows a structured flow designed to assess critical thinking, domain knowledge, leadership, and collaboration. The system uses adaptive probing based on candidate responses rather than following a rigid script, evaluating answers for quality, depth, and relevance. A sentiment analysis layer runs in parallel, assessing tone and authenticity across the conversation.

The outputs are consolidated into scores across three areas: resume-to-job description match, interview performance, and sentiment. Crucially, Lumina has built explainability into the scoring. Each result comes with supporting insights showing how the score was reached, giving hiring teams a clear rationale rather than an opaque number.

AI hiring tools have attracted meaningful scrutiny over the past several years, with critics pointing to the risk of encoding existing biases into automated systems. Lumina’s response centres on the consistency of its scoring rubric. Because Aria evaluates every candidate against the same defined criteria, the company argues it removes the subjective interpretation that drives variability in human-led screening.

Also Read: AI is removing the co-founder bottleneck for early-stage startups

Whether that fully addresses bias concerns — particularly around how rubrics are designed and validated — is a question the industry is still working through. Low acknowledges the responsibility, noting that the team has deliberately built explainability into every score to ensure hiring teams can interrogate the system’s recommendations rather than simply accepting them.

Where humans stay in the loop

Lumina is deliberate about where Aria stops. The product is positioned as a first-pass tool, not a replacement for human judgment across the full hiring process. Once Aria surfaces its ranked shortlist, recruiters take over to determine who advances to later-stage interviews.

“As candidates progress further into the process, human judgment becomes increasingly important,” Low says. “Later-stage interviews focus on nuance, culture fit, and building relationships — areas where human interaction adds the most value.”

Beyond enterprise hiring teams, Lumina has also seen demand from job seekers directly. The company’s resume analyser allows candidates to understand how their profiles are likely to be interpreted — a move that Low describes as shifting from guesswork to a more structured view of their own experience.

Lumina’s focus for now remains squarely on first-pass screening, the stage where hiring volume is highest and inefficiency most acute. Whether Aria eventually moves deeper into the funnel will likely depend on how well it earns trust at the stage it has already chosen to own.

Image Credit: Lumina

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