Finmo, an all-in-one treasury operating system (TOS), has announced an oversubscribed US$18.5 million Series A funding round, bringing its total funding to US$27 million.

The round was co-led by Quona Capital and PayPal Ventures, with participation from Citi Ventures.

The Singaporean startup will use the capital to accelerate its product development, invest in AI capabilities, and expand its global reach.

Finmo offers a unified platform that addresses the complexities of modern treasury operations. With features such as real-time payment capabilities and modular design for scalability, Finmo empowers organisations to optimise their cash management, enhance liquidity, and mitigate financial risks—all within a single platform.

Also Read: Human-centric skills in the age of AI: How to never lose touch with humanity in the workplace

Today’s organisations are global players that demand integrated solutions to streamline their treasury functions. Finmo was developed with a first-hand understanding of what treasurers and CFOs need, ensuring that the platform addresses real-world challenges faced by finance professionals today.

Ashish Aggarwal, Partner at PayPal Ventures, said, “Finmo is redefining treasury operations. Their innovative approach addresses critical pain points faced by businesses in today’s dynamic financial landscape.”

“Finmo’s innovative TOS addresses critical pain points for businesses operating in multiple geographies, empowering them with seamless cash and FX management capabilities,” said Ganesh Rengaswamy, co-founder and Managing Partner at Quona.

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The path to success is not always easy. Every year, around seven in ten startups fail. The startup world can be unforgiving and challenging if you do not have the perseverance to pursue your goal relentlessly, even when faced with rejections and hurdles.

Yet, this arduous journey was not daunting for me, even after many personal lows, including depression, a failed marriage, and the passing of my father. There was hardly anything left to lose, so I jumped into creating my business, and unsurprisingly, I’ve learnt plenty of important lessons.

Like many others, I was just an IT geek, employed in a cushy job, good with what I was doing in my field. In fact, I was one of the fastest to promote in my department within a year. When I was approached with the opportunity to start a business by my friends, I took the chance.

I was excited to build something special and believed in my partners and me to do so. With minimal experience and little money to fund our efforts, we created our first startup to provide business consultancy services.

Yet, I was unprepared, or ignorant, so to say. All the dreams about succeeding within a few months burst quickly. The truth was: for the next few years to come, I never saw hurdles coming my way until I tripped over them. 

The business was struggling to stay afloat in terms of operations and revenues, and in a desperate attempt, we decided to pivot into digital transformation solutions with a second startup. Unfortunately, the second startup faced the same fate. During the same period outside my career, my marriage was failing, followed shortly by the sudden passing of my father.

It was really the lowest point of my life. I still remember the day when I tried to withdraw money from an ATM and was only left with a two digits sum in my bank account. I felt miserable. Any sane person in that situation would make the most logical decision to go back to find a stable full-time job.

But I have already lost so much. Thinking I have nothing more to lose, I went on to start my third startup, Ximple, with a ‘do-or-die’ attitude.

Although my first two startups failed, there were precious experiences to be learned from these setbacks which I kept in mind while building Ximple. There were a few main reasons why the first two ventures failed.

The first mistake was not identifying and targeting the right industry and audience. Second, not having the right mix of talent to lead the various functions in the business. Thirdly, we couldn’t find the right unique selling points to stand out from the many competitors providing the same solution in this saturated market. 

On finding the right service and USP

One common mistake is assuming there is a demand in the market, and all you have to do is to launch your product and expect a need for your solution.  In other words, do not be convinced you have found a solution or a market demand until it has been assessed by consumers.

Also Read: How mental health startup Intellect’s founder catalysed his personal battle with anxiety

During my experience as Head of Regional Logistics in Singpost, I’ve witnessed different products from every company having their own return policy and process. For consumers, this means different products might have different procedures to go through for warranty exchange or servicing. 

Personally, I have also encountered the issue with warranty tracking and service maintenance for my own home appliances. I thought to myself: why was there no one-stop solution to address these issues and simplify the consumer experience? That was the idea that sparked the birth of Ximple.

When I was developing Ximple, one of the first things I started to work on was understanding the market. I started sharing ideas about the pain point of warranty tracking and maintenance based on my personal experience as a consumer.

I did a survey with more than a hundred friends to get a general idea of issues they faced with warranties and the way they handle them. Based on my market research, I began reaching out to companies in the industry via LinkedIn with a simple pitch deck.

Although the idea was acceptable from the start, it has to evolve quickly to cater to changing market needs and behaviour. Today, Ximple has evolved to become more than just a warranty management tool, but a one-stop platform that promotes a circular economy in the electronics market.  

So, if there is one thing aspiring founders must know, it is to know the market needs before deciding to plunge into a venture, and be prepared to adapt and change when necessary.

Pick the right team and elevate your own skill sets

Finding a key business proposition isn’t enough, a team has to get the right people to propel it forward. One of the key reasons for previous failures was due to no diversity in the management team with relevant experience to lead the many important functions within the company.

My Co-Founders in the previous ventures were all, like me, like-minded souls who specialised in IT. Realistically speaking, there was no one experienced enough to take charge of the sales and business front. No matter how great the product is, if there is no one skilled enough to present it to the public or investors, the business is bound to fail.

To ensure better success for Ximple, I know I had to onboard someone who knows how to sell the business better than me. That’s why in Ximple when we gather investors, we are not just looking for someone with money, but also with the right experience and value to help propel Ximple. 

Although now I have a strong management team to help run the business, I am still learning new skills as the Founder. I, too, have to up my game by constantly upgrading myself in order to learn and know everything from the ground up on the operation of the business.

During the initial stage of Ximple, I took up an accounting course to learn how to handle finance operations, and despite being an introvert, I attended a public speaking course in order to improve my presentation and networking skills.

Also Read: Succeeding as a technical founder with Dave Shanley

The key is to constantly push yourself out of your comfort zone and learn as much from the experience of your business partners. 

Careful expansion

Every startup would, of course, be eager to move and expand their business forward into another market but this takes calculated risks and considerations. My advice I give to new business owners that have come to me would be to understand the market and have someone you trust that can help run the business in the region.

In the case of Ximple, one of our trusted Malaysian shareholders is assisting us in the expansion. A year before we even expanded into Malaysia, we have already started connecting and talking to local business partners to understand the market.

By the time of our official launch in Kuala Lumpur, we had eight working business partners that shared the same vision with Ximple and to help drive Ximple into the Malaysian market. The right partnerships are important at the very core of any scaling process, so always take time to connect with others.

A note on taking the plunge

At the end of the day, the challenge in building your own business doesn’t just stem from the long hours you’re willing to sacrifice, or the guts to take ownership over something by yourself.

Always stay humble and stay curious when meeting new people. A strong management team with the right mix of talent and experience is always the most important to ensure the success of a business.

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Image credit: Ximple

This article was first published on August 30, 2022

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In the ever-evolving landscape of digital marketing, strategies are continually being redefined and reinvented. One such unconventional approach is reverse marketing, a tactic that seemingly goes against the grain of traditional marketing wisdom.

While most brands strive to highlight their strengths and positive attributes, reverse marketing takes a different route by deliberately positioning a product or service in a negative light. This strategy, which can be both risky and rewarding, has the potential to generate significant buzz and engagement, especially in the form of bad reviews designed to create marketing exposure.

But how exactly does this work? Let’s explore the various facets of reverse marketing through negative reviews and how they can be leveraged to capture the attention of audiences in a saturated market.

The contrarian perspective: Standing out by going against the grain

In a world where positive reviews are the norm, a well-crafted negative review can be a breath of fresh air. This approach leverages the contrarian perspective, where a reviewer takes a stance that opposes popular opinion. When everyone else is praising a product, offering a critical viewpoint can stand out and draw attention.

This strategy taps into the human tendency to be curious about differing opinions. A contrarian review can spark intrigue, leading readers to wonder if the product is truly as good as everyone else claims, or if there’s something they’re missing. By presenting a well-reasoned argument for why a product may not be as great as it seems, marketers can create a sense of curiosity and encourage potential customers to explore the product for themselves.

For example, imagine a highly anticipated smartphone release that has garnered overwhelmingly positive reviews. A contrarian article that critiques the phone’s design flaws or questions the necessity of its features can pique the interest of consumers who might otherwise have taken the positive reviews at face value. In this way, a negative review can drive traffic to the content and, ultimately, the product.

Humour and satire: Turning negativity into entertainment

One of the most effective ways to use a bad review for marketing exposure is by infusing it with humour or satire. When done skillfully, this approach can transform a negative review into a piece of entertainment that resonates with audiences.

Also Read: Conquer the B2B SaaS game: 10 content marketing strategies for startups

Humour has a way of making even the harshest criticism more palatable. A satirical review that exaggerates a product’s flaws can be both funny and memorable, leading to increased shares and engagement on social media. This type of content can go viral, drawing attention not only to the article itself but also to the product being reviewed.

For instance, consider a review of a high-end luxury item that playfully mocks its exorbitant price or over-the-top features. By using humour to highlight the absurdity of the product, the review can become a talking point, prompting readers to share it with their networks. This kind of exposure can be invaluable for brand awareness, even if the review itself isn’t glowing.

Honest critiques: Building trust through transparency

In today’s digital age, consumers are increasingly wary of overly positive reviews that seem more like marketing copy than genuine opinions. This has led to a growing appreciation for honest critiques that don’t shy away from pointing out a product’s flaws.

An honest review that acknowledges the shortcomings of a product while still recommending it for certain audiences can be incredibly persuasive. This approach builds trust with readers, who are likely to appreciate the transparency and feel more confident in making a purchase.

For example, a reviewer might write about a budget-friendly laptop that has great performance but lacks premium build quality. By honestly addressing both the pros and cons, the review can appeal to readers who value authenticity. These readers may be more inclined to trust the reviewer’s opinion and consider purchasing the product, despite its flaws.

Moreover, this type of content is more likely to be shared among consumers who are looking for unbiased information. By providing a balanced perspective, the review can attract a broader audience and generate more exposure for the product.

Stirring controversy: The double-edged sword of negative reviews

Controversy has long been a tool used by marketers to generate buzz, and negative reviews are no exception. A strongly worded, negative review of a high-profile product can stir up debates and discussions, leading to increased visibility.

Also Read: Generative AI: Unprecedented adoption rates in 2024

However, this approach is a double-edged sword. While controversy can drive traffic and engagement, it can also backfire if not handled carefully. A negative review that comes across as unfair or overly harsh can alienate potential customers and damage the reviewer’s credibility.

That said when executed with nuance and thoughtfulness, a controversial review can create a ripple effect across social media and online forums. Readers may feel compelled to share their opinions, whether in agreement or disagreement, thereby amplifying the review’s reach.

For instance, a scathing review of a popular video game that criticises its lack of innovation might provoke strong reactions from both fans and critics. This can lead to a surge in online discussions, with people flocking to the review to see what all the fuss is about. In the process, the review gains more exposure, and so does the game itself.

Engaging the audience: Turning reviews into conversation starters

Finally, one of the most effective ways to use a bad review for marketing exposure is by turning it into a conversation starter. A review that invites readers to share their own experiences or opinions can foster a sense of community and engagement.

This approach works particularly well when the review is open-ended, leaving room for discussion. By asking questions or encouraging readers to weigh in, the reviewer can create a space for dialogue that extends beyond the review itself.

For example, a review of a popular streaming service might end with a question like, “Do you think this service is worth the price?” This invites readers to share their thoughts, sparking a conversation in the comments section or on social media. The more people engage with the content, the more exposure it generates.

In this way, a negative review can become a catalyst for community building, driving traffic to the site and increasing the visibility of the product being reviewed.

Conclusion

Reverse marketing, particularly in the form of bad reviews, is a bold strategy that can pay off when executed with care and creativity. By leveraging the power of contrarian perspectives, humour, transparency, controversy, and audience engagement, marketers can turn negative content into a powerful tool for generating exposure and driving interest.

Of course, this approach is not without its risks. It requires a delicate balance of authenticity and strategy to ensure that the negative review doesn’t backfire. But for those willing to take the plunge, reverse marketing can offer a fresh and effective way to stand out in a crowded digital landscape.

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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 infographicJoin our e27 Telegram group, FB community, or like the e27 Facebook page.

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This article was first published on August 12, 2024

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This is not your average entrepreneurship story. It is, in fact, quite unconventional, yet extraordinary. This is how one night changed the course of everything by turning us into an entrepreneur.

As a child, I was always looking for ways to earn some additional pocket money so that I could buy an Old Chang Kee snack after school. One day, I was staring at my reef aquarium, and it struck me – I have so many corals; why don’t I sell some of them online? That experience was my first taste of entrepreneurship.

I had intended to pursue a business course as part of my polytechnic education but was rejected. Nonetheless, enrolling in Ngee Ann Polytechnic’s (NP) Diploma in Mass Communication was a choice I never regretted. The course not only broadened my perspectives and gave me some of the best friends I have now, but it also taught me useful skills in areas such as public relations and digital marketing.

However, as I was still itching for something “business-y”, I applied for the Personalised Learning Pathway (PLP) Programme that NP offered. That gave me the opportunity to take up a minor in entrepreneurship and gain knowledge about business and being an entrepreneur.

The beginnings of my entrepreneur journey

In one of my modules, I had the chance to participate in a sustainability-themed hackathon and pitch ideas to the judges. I’d formed a team with my fellow coursemates, but we had forgotten about the hackathon until the night before our presentation due to hectic schedules and our focus on our coursework. We were frantic and started brainstorming ideas that very night.

Also Read: Fave Co-Founder Joel Neoh to head Prenetics’s consumer health subsidiary CircleDNA

We were almost out of ideas when I recalled fond memories of going to the farmers’ market with my mother to shop for fresh produce. I remember the long drive and how it was nearly impossible to reach the market by public transportation. The passion that our local farmers had for their trade and their produce was always heart-warming to see.

That was when I developed the idea. Why don’t we help these farmers bridge the gap and bring the farmers’ market closer to our housing estates? Furthermore, Singapore is working towards achieving the “30 by 30 plan” with targets to produce 30 per cent of the country’s nutritional needs by 2030. This meant more support was likely given to the farming industry – a bonus for our project!

Farmly was thus born out of a presentation done up in five hours that won us the hackathon and granted us the SG$5,000 (US$3,700) Kickstart Fund! 

Building a budding business

Starting a business is never easy. As three inexperienced students trying to navigate the field of entrepreneurship, it took time for us to get the hang of things. Thankfully, with NP’s support, we were given an office space to facilitate brainstorming ideas and engage in day-to-day operations, as well as access to a network of opportunities to further our business.  

Our mentor, Mr Allen Lee, the innovation manager at NP’s The Sandbox, played a crucial part in our business-building journey. His advice helped us to refine our business plan and also inspired the idea of adopting our expertise in marketing and design as the USP of our business.

That is why Farmly has the unique proposition of being a farmers’ market that brings fresh produce to local communities while serving as a marketing agency that helps farmers market their products online. This allowed us to differentiate ourselves from the competition, making us a more attractive option for our stakeholders.

A crucial part of a farmers’ market is the venue. We originally planned to have it indoors but realised that the charm of a farmers’ market lies in the bustling community surrounding it. This prompted us to realign our goals to host it at a convenient location and inspired us to look into various housing estates around Singapore. We eventually struck a deal with the Woodlands grassroots community and managed to secure a location sponsorship in an accessible neighbourhood.

Also Read: ‘Lack of the right team could break your business’: FreshToHome Founder shares his lessons

We are currently planning for our inaugural event to be held in December this year, around Christmas. There is still a long journey that lies ahead, but I believe we can make it.

Advice from an accidental entrepreneur

Initially, I was clueless about starting my own business. These are some lessons I have learnt and that I would love to share with anyone who might be on the fence about dipping their toes in entrepreneurship.

• Identify what makes you one-of-a-kind: At the end of the day, no one remembers the ordinary, so don’t be normal, be extraordinary! Find what differentiates you from the rest because that will be the reason for your success.
• Make use of the resources available: Building a business is a huge feat to take on alone. Being aware of the funds and support systems available, including the newly launched NP x Carousell Sustainability Lab for NP students. Getting the necessary help to support your dreams can take a significant weight off your shoulders. 
• Be detail-oriented: The littlest details matter, no matter how small. Be diligent and leave no stone unturned, as that one tiny detail you missed may turn out to be the most important one.
• Find your motivation: Find what drives you because interest can only last you so long. Motivation is the real driving force behind hard work and perseverance.

Farmly was founded by SG Grounded, consisting of three Mass Communication students from Ngee Ann Polytechnic, Ernest, Sharlene and Preethika.

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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 our e27 Telegram group, FB community, or like the e27 Facebook page

Image credit: Canva Pro

This article was first published on June 13, 2023

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We’ve all been there: standing in a never-ending line at an event, watching as organisers struggle to manage check-ins with outdated tools. Maybe you’ve waited while someone fumbles with a pen-and-paper list or had to dig out cash because it’s “cash only” at the door. It’s inconvenient for attendees, but for organisers, it’s an outright disaster.

The door is where all the pressure converges. It’s where the weeks (or months) of planning meet the real world, where every bottleneck can mean lost customers, annoyed guests, and a chaotic first impression. And in an age where technology is supposed to make everything seamless, the scene at many event doors is stuck in the past.

The hidden chaos organisers face

For organisers, the challenges at the door go beyond just keeping lines moving. Here’s what they’re up against:

• Lost revenue: Imagine dozens of potential attendees walking away because they don’t have cash or refuse to wait in a 20-minute line. That’s money out the door before they even walk in.
• No real-time data: The check-in process is a black hole for many organisers. Who showed up? When? How many no-shows were there? These questions go unanswered without proper tools, leaving organisers flying blind for future planning.
• Stress and confusion: Events are high-stakes, and the door is the pressure cooker. With people arriving all at once, slow systems or unprepared staff can quickly lead to chaos.
• Frustrated attendees: First impressions matter. Long lines and clunky check-ins can sour the mood before the event even starts, turning an excited crowd into a restless one.

Why are we still using outdated methods?

For many organisers, the tools available just don’t cut it. Traditional ticketing platforms often stop at the point of purchase, leaving organisers to figure out check-ins on their own. The result? Pen-and-paper guest lists, cash boxes, and staff scrambling to manually match names to tickets.

Even with digital solutions, clunky systems or app-only check-ins often create just as many problems as they solve. What happens when there’s no reliable Wi-Fi? Or when attendees show up without the right QR code? It’s no wonder so many event professionals dread the door.

The cost of inefficiency

The knock-on effects of a poor check-in process are massive. Let’s break it down:

• Lower on-site sales: A slow door process discourages last-minute ticket buyers. Those who might decide to join on a whim are often turned away by the hassle.
• Missed marketing opportunities: Without proper data collection, organisers miss out on valuable insights about their audience, making it harder to grow and improve future events.
• Reputation damage: An event that starts with chaos at the door is remembered for all the wrong reasons, no matter how good the rest of the experience is.

And the sad truth? Most of these problems are avoidable with the right tools and processes in place.

Also Read: How blockchain can revolutionise ticketing without disrupting the user experience

What’s the solution?

While every event is unique, some common principles can make check-ins less of a headache:

• Speed first: Every second matters at the door. Streamlining ticket scanning, payment processing, and guest verification is key to keeping lines moving.
• Flexible payment options: Cash-only systems are a thing of the past. Enabling credit cards, mobile payments, and even on-the-spot ticket purchases ensures no sale is missed.
• Data on demand: Organisers need tools that provide real-time insights into who’s checked in and who hasn’t—without requiring extra work from staff.
• Reliability over complexity: A system that’s too complicated or reliant on perfect conditions (like Wi-Fi) is bound to fail when it matters most. Simple, reliable tools make all the difference.

A better future for organisers

At Tessera, we’ve reimagined what ticketing can be, not just for attendees but for organisers who deserve better solutions at the door.

Here’s how we’re helping organisers leave the chaos behind:

• 5-second ticket purchases: Attendees can buy tickets in seconds, even on-site, ensuring no opportunity is lost.
• Boosted on-site sales: Faster processing has increased ticket purchases at the door by 50 per cent, giving organisers more revenue with less hassle.
• Real-time insights: Tessera’s tools provide immediate data on attendance, no-shows, and customer behaviour, empowering organisers with actionable insights.
• Stress-free experiences: Our platform is designed for reliability and ease of use, with no need for additional app downloads or overly complicated systems.

We believe the door should be a smooth transition, not a bottleneck. With Tessera, organisers can focus on delivering an incredible event experience instead of firefighting operational chaos.

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Gobi Partners, a leading Asian venture capital firm, has announced an undisclosed strategic investment in ArmourZero Holdings, a cloud-based cybersecurity platform based in Malaysia.

The investment, made through the Gobi Dana Impak Ventures (GDIV) fund, is backed by Khazanah Nasional and aligns with Khazanah’s Dana Impak mandate.

According to Tho Kit Hoong, CEO of ArmourZero, the investment will accelerate innovation.

Co-founded in 2022 by cybersecurity expert Hoong and tech innovator Chong Wai Lun, ArmourZero aims to address the cybersecurity needs of software developers and small and medium enterprises (SMEs).

Also Read: Embracing unity: A celebration of diversity and inclusion at ArmourZero

The platform tackles issues such as high cyber threat incidence, inadequate threat containment, prohibitive costs, and limited access to integrated security systems.

Key solutions:

ShieldOne: A unified threat monitoring, management, and response system. It integrates endpoint security, email protection, and patch management into a single platform. ShieldOne provides real-time threat protection, 24×7 Managed Detection and Response (MDR), and partners with industry leaders such as CrowdStrike and Checkpoint.

Managed Detection and Response (MDR): A core feature of ShieldOne, it offers real-time threat detection, proactive incident management, and rapid response through a dedicated team of cybersecurity analysts.

ScoutTwo: An AI-powered application security system that secures web and mobile applications from development to deployment. It provides instant vulnerability detection, risk prioritisation, and AI-powered remediation recommendations.

ArmourZero aims to bridge this gap by helping SMEs mitigate risks, reduce costs, and strengthen their digital defences. In Malaysia, over 28,000 cyberattacks were recorded in 2022, with incidents between 2017 and 2021 resulting in RM2.23 billion (US$490 million) in financial losses.

ArmourZero has subsidiaries in Malaysia, Singapore, and Indonesia. The company’s core activities are based in Malaysia.

The cybersecurity market in Southeast Asia is projected to grow from US$35 billion in 2023 to US$84 billion by 2028. SMEs, which make up 99 per cent of Malaysian businesses, are particularly vulnerable due to limited resources and awareness.

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As artificial intelligence (AI) continues to redefine industries and workplaces, concerns about job displacement persist. However, rather than rendering human workers obsolete, AI is expected to complement human capabilities—emphasising the need for uniquely human skills. A recent Workday study reveals that the tech will be a driving force behind a global skills revolution, making human-centric skills more valuable than ever.

The report elaborates how AI is playing an increasingly pivotal role in skill development by alleviating workers from routine processes and enabling them to focus on higher-order tasks. By automating repetitive activities, the tech allows individuals to channel their creativity and problem-solving abilities into more strategic and imaginative work.

Additionally, AI-driven skills assessment and gap analysis improve productivity by ensuring that employees receive targeted learning opportunities, making professional development more efficient and data-driven.

Beyond productivity gains, AI fosters adaptability and resilience—critical skills in an era of rapid technological change. By offering interactive learning experiences and processing vast amounts of data to provide insights and decision support, AI enhances employee engagement and professional growth. This empowerment extends beyond individuals, as the tech facilitates the exchange of information, making skills data actionable at scale and enabling businesses and governments to expand workforce opportunities.

AI excels at processing vast amounts of data, automating repetitive tasks, and enhancing efficiency. Yet, it lacks the nuanced understanding, empathy, and ethical reasoning that define human interactions. This is why several human-centric skills continue to remain relevant even in the age of AI, according to the report.

Also Read: Atome taps BlackRock, InnoVen for expanded US$80M credit facility

As organisations integrate the tech into their operations, the ability to navigate complex social dynamics, make ethical decisions, and lead with emotional intelligence will become essential. Employers are increasingly prioritising soft skills such as adaptability, collaboration, and critical thinking. These competencies enable individuals to work effectively with AI-driven tools, fostering innovation, enhancing teamwork, and maintaining a workplace culture built on trust and transparency.

Strategies for developing human-centric skills

To prepare for an AI-enhanced future, organisations and individuals must focus on skill development in key areas. Workday’s research highlights several strategies for strengthening human-centric capabilities:

1. Prioritising upskilling and reskilling

The evolving job market demands continuous learning. Businesses should invest in training programmes that enhance AI-related skills while reinforcing human strengths such as problem-solving, leadership, and adaptability. Employees who embrace lifelong learning will remain competitive in a shifting landscape.

2. Promoting human-machine collaboration

AI should be seen as a tool that enhances human capabilities rather than a replacement for human workers. By leveraging the tech for data-heavy tasks, employees can focus on strategic decision-making, creativity, and interpersonal relationships—areas where human intelligence is irreplaceable.

3. Strengthening communication and teamwork

AI can streamline workflows and facilitate collaboration, but strong interpersonal skills remain critical. Organisations should foster environments that encourage relationship-building, diverse perspectives, and collective problem-solving.

4. Cultivating human-centric leadership

Leadership in the AI age requires a shift toward empathy, emotional intelligence, and people-focused management. Effective leaders must balance AI-driven insights with human judgement, ensuring that employees feel valued, supported, and motivated.

5. Addressing skills gaps

A skills-first approach to talent development is essential. Organisations should identify gaps in human-centric competencies—such as ethical decision-making, cultural awareness, and resilience—and integrate these into training initiatives.

Also Read: Atome taps BlackRock, InnoVen for expanded US$80M credit facility

6. Building a culture of trust and transparency

For AI adoption to succeed, organisations must ensure transparency in AI-driven processes. Employees should have access to explainable AI systems and understand how technology impacts decision-making. Trust fosters a more inclusive and engaged workforce.

7. Encouraging ethical AI development

AI systems should align with ethical and organisational values. Businesses must equip employees with the skills to assess AI-driven decisions critically, ensuring fairness, accountability, and responsible technology use.

8. Strengthening critical thinking and problem-solving

AI can enhance analytical capabilities, but human judgment remains crucial. Training should emphasise creative reasoning, adaptability, and decision-making to ensure employees can interpret AI-generated insights effectively.

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The artificial intelligence (AI) landscape is evolving rapidly, and DeepSeek’s emergence could have significant implications for AI adoption and market dynamics. Bain & Company’s latest analysis presents a range of potential scenarios, offering key takeaways for businesses and industry leaders navigating this transformation.

DeepSeek’s impact will likely unfold across three possible scenarios, ranging from bullish to bearish, depending on how AI infrastructure costs and investments develop.

Bullish scenario: Expanding AI adoption
In an optimistic outlook, ongoing efficiency improvements lead to cheaper inference costs, accelerating AI adoption in a phenomenon known as Jevons’ paradox.

As AI becomes more accessible, demand for high-end training and advanced models will remain strong, encouraging sustained investment in cutting-edge AI capabilities. This scenario envisions a future where businesses increasingly integrate AI into their operations, leading to a broader and more dynamic AI ecosystem.

Moderate scenario: Infrastructure cost reduction
A more measured scenario predicts that while AI training costs remain stable, spending on AI inference infrastructure could decline by 30 to 50 per cent. This shift would prompt cloud providers to scale back their capital expenditures from an estimated US$80 billion to US$100 billion annually to a range between US$65 billion and US$85 billion per provider.

Despite this reduction, the expenditure would still represent an increase over 2023 levels, suggesting continued growth but at a more controlled pace.

Also Read: Gobi invests in ArmourZero to bolster SME cybersecurity defences

Bearish scenario: Constrained investment
In the most cautious outlook, AI training budgets shrink significantly, and spending on inference infrastructure declines sharply. Cloud providers’ capital expenditures could drop to between US$40 billion and US$60 billion, a level that, while still higher than in 2023, signals a slowdown in AI infrastructure expansion.

If realised, this scenario could indicate a temporary cooling-off period in AI investment, potentially leading to more selective AI deployments and a focus on cost efficiency rather than aggressive expansion.

Strategic considerations for CEOs

Given the uncertainty surrounding DeepSeek’s impact, Bain & Company’s report offers strategic advice for CEOs who want to effectively navigate the evolving AI landscape.

Prepare for cost disruption
Businesses should anticipate a future where AI inference becomes significantly cheaper, creating new competitive dynamics. Companies that proactively adjust their strategies to leverage more cost-effective AI solutions will be better positioned to capitalise on the changes.

This includes reassessing existing AI budgets and exploring new AI-driven opportunities beyond cost reduction.

Monitor market signals closely
CEOs must stay attuned to industry trends, particularly capital expenditure patterns, GPU demand, and AI adoption rates. A slowdown in infrastructure spending may indicate that efficiency improvements are reshaping AI economics. Understanding these shifts can help businesses adapt their AI strategies accordingly.

Also Read: How upcoming CPI data could influence fed policy and cryptocurrency prices

Key market signals to watch include:
– Sustained enterprise demand for high-performance AI models.
– Increasing restrictions on AI model access and distillation controls by leading AI labs.
– Validation of cost-saving projections and the emergence of previously unaccounted-for expenses.
– Evidence that DeepSeek was trained on existing models, potentially influencing AI development strategies.
– Continued prioritisation of advanced, frontier AI models for training purposes.
– The rapid proliferation of derivative models and new competitors.
– The growing popularity of low-cost open-source models, which may accelerate AI adoption in diverse sectors.

Think beyond productivity
While many companies initially adopt AI to improve operational efficiency, Bain & Company advises businesses to go further by leveraging AI to redefine their core offerings. The most successful firms will be those that move beyond automation and embrace AI-driven innovation.

This could take the form of personalised customer experiences, AI-enhanced product development, or entirely new services that leverage AI capabilities.

Broader implications for the AI market

DeepSeek’s emergence is part of a larger trend in AI development, where open-source and cost-efficient models are gaining traction. If AI inference costs continue to decrease, it could democratise AI access, enabling smaller businesses and startups to integrate AI solutions that were previously cost-prohibitive.

This shift could lead to a more competitive and dynamic AI ecosystem, where innovation is driven not only by major tech firms but also by emerging players leveraging new AI models.

At the same time, concerns over model security, data integrity, and ethical AI development are likely to remain at the forefront. Companies must balance cost considerations with responsible AI implementation, ensuring that AI models are not only efficient but also aligned with regulatory and ethical standards.

DeepSeek represents a pivotal development in AI, with the potential to reshape how businesses approach AI adoption and investment. Whether the market follows a bullish, moderate, or bearish trajectory, companies must remain agile, closely monitoring cost trends and market signals while actively seeking ways to innovate beyond mere efficiency improvements.

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Image Credit: Mimi Thian on Unsplash

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Across Southeast Asia, from Singapore’s fintech hubs to Indonesia’s e-commerce powerhouses, startup founders are evaluating DeepSeek’s promise of democratising advanced AI capabilities at a fraction of traditional costs.

With performance levels reportedly matching industry giants like GPT-4 and Claude-3.5, DeepSeek’s emergence marks a potential turning point for regional startups traditionally priced out of cutting-edge AI development.

But as regional tech leaders and investors weigh its implications, a crucial question emerges: Could this be the catalyst that propels Southeast Asia’s startup ecosystem into AI’s next frontier?

We spoke with several VCs, AI experts, founders and top executives at AI startups to learn how DeepSeek will impact the local startup ecosystem.

Below are the insights they shared:

Mauro Sauco, CTO of Transparently.ai, an accounting fraud detection firm

DeepSeek has generated buzz for a good reason. Its innovative approach to AI model development is already influencing how large language models are built and could fundamentally reshape our future in AI.

That said, I tend to be cautious when technology is surrounded by so much hype. While DeepSeek’s approach is innovative and impressive, I’m still on the fence about who will truly benefit from it in the long run.

Also Read: DeepSeek: The smart disruptor in the AI race

Here are some of my thoughts:

The impact on the ecosystem:

DeepSeek’s advancements have advanced the state of the art in LLM development. However, major frontier model developers are likely to quickly adopt these innovations, which might diminish DeepSeek’s lasting competitive edge.

Who stands to benefit:

Frontier model developers are likely to gain the most from incorporating this innovative approach to AI model development, which will lower costs and drive further innovation.

a) Large enterprises: Companies with specialised requirements might fine-tune DeepSeek to better suit their needs.

b) Regulated industries: Organisations that need to operate models within a controlled, private infrastructure could find value in DeepSeek.

c) Startups: For most startups, the direct benefits appear limited. However, any potential benefits might come indirectly through cost reductions passed down from the savings that mainstream frontier model providers eventually deliver.

Practical considerations for startups:

I’ve personally tested DeepSeek on metal (referring to the model itself, not the service) and had my team run some preliminary tests. For startups like ours, the practical benefits—especially in terms of cost savings and performance improvements—don’t seem substantial:

a) Infrastructure demands: Running DeepSeek locally (or on VMs) requires significant memory and GPU resources to achieve acceptable latency.

b) Production complexity: Setting up a production-grade system means managing redundancy, availability, and global distribution.

c) Operational costs: The overall costs and operational burdens can add up quickly.

d) Cloud provider offerings: Although some cloud providers are now offering DeepSeek via hosted endpoints, the advantages are minimal. DeepSeek R1 might be on par with, or only slightly superior to, existing reasoning models. Given that mainstream frontier models are likely to integrate these advancements in the near term, the effort and cost of refactoring software—including prompts and evaluations—to accommodate DeepSeek don’t seem justified.

Advantages of mainstream frontier models:

One major advantage of using established frontier model providers is their continuous improvement. These companies invest heavily in enhancing their models, meaning that as users, we benefit from ongoing enhancements with minimal effort on our part. DeepSeek might struggle to match this, especially when pitted against the giants in the field.

In conclusion, DeepSeek marks a significant advancement in the LLM ecosystem with its innovative approach to AI model development. While it’s clear that DeepSeek has reshaped the way we will approach AI model development in the future, its broader impact is still unfolding. For startups, in particular, sticking with established API services remains the more practical and cost-effective choice given the continuous improvements and financial backing of major frontier model providers.

Alvin Toh, co-founder of Straits Interactive, a data protection startup

DeepSeek’s affordability and accessibility democratise artificial intelligence (AI), making it attractive to ASEAN startups. Its low-cost, high-performing models enable developers in companies to rapidly prototype and integrate it into their technology stack and allow startups to innovate in various fields without prohibitive infrastructural investments.

However, there are concerns surrounding DeepSeek’s higher level of hallucination compared to other models in the market (notably, in following rules, writing, creativity, and persuasiveness) and certain biases from China in its outputs.

Additionally, DeepSeek’s ambiguous privacy policies and lack of robust compliance certifications bring pause. Its privacy policy lacks clarity on data usage, causing unease about data leakage and misuse. There is also no explicit mention of adherence to key international standards like GDPR, making it risky for startups operating in regulated industries.

Moreover, recent attempts by security researchers at Cisco and the University of Pennsylvania to jailbreak Deepseek’s model with adversarial prompts revealed that it failed to block all 50 attempts, indicating that there’s still a security gap in deployment.

Startups handling regulated, sensitive, or proprietary data must, therefore, carefully evaluate DeepSeek’s scalability and adherence to privacy laws, policies, and service-level agreements (SLAs). Compliance with local regulations, like the PDPA for Singapore-based outfits, needs to be ensured before integrating DeepSeek into critical workflows.

Until DeepSeek provides stronger assurances of data privacy and compliance, startups should presently avoid using it with sensitive data and consider alternatives with a privacy-first approach.

Rei Murakami, Venture Partner at Kadan Capital

DeepSeek has delivered a few important AI milestones: In December, version 3 was released with Mixture-of-Experts architecture, faster inference, and longer context windows, followed by the R1 model in January. But let’s be clear: the real story isn’t about one company.

LLMs are on a path to commoditisation, with open source gaining momentum. I believe the recent negative public market reaction is misplaced. In the mid-term, AI adoption is about to dramatically increase. History proves it; back in 1943, IBM’s Thomas Watson infamously predicted a world market for not more than five computers. When costs decreased, demand skyrocketed. The same is now happening with AI.

Also Read: DeepSeeking the future: The ripple effect on tech, crypto, and global markets

Nowhere is this shift more significant than in Southeast Asia. In emerging economies, SaaS solutions struggled with monetisation due to low labour costs. But with token costs set to drop, autonomous agents will become viable even in price-sensitive markets. The AI revolution isn’t slowing—it’s just getting started.

We continue to be excited about application layer AI, particularly in vertical SaaS, where AI can unlock entirely new business models and drive real operational impact.

Dr Sze Tiam Lin, Senior Licensing Advisor, SMU Institute of Innovation & Entrepreneurship

DeepSeek enables startups in Southeast Asia to harness cutting-edge generative AI technologies without the need for massive budgets and push the boundaries of what’s possible, offering a more dynamic and competitive landscape for innovation. It also allows smaller players to adopt efficient inference systems and benefit from significantly reduced training costs, making it easier to develop sophisticated AI solutions.

DeepSeek stands out in its efficient pre-training that accelerates the learning process and shortens the time required to deploy customised and powerful AI models. With performance levels on par with the best versions of GPT-4 and Claude-3.5, startups can harness high-level capabilities at a fraction of the cost.

Additionally, DeepSeek’s unique voting technique offers self-feedback on open-ended questions, enhancing the effectiveness and robustness of the alignment process, a critical factor in refining AI systems.

The pace of adoption across Southeast Asia will depend on the governance frameworks in place regarding the use of open-source models and data privacy in commercial deployments. Different jurisdictions may have varying regulatory environments, and this could affect innovation and AI adoption.

Matt Spriegel, CEO and founder of Atiom, an AI-powered gamified platform

Southeast Asia has been a hub for rapid digital adoption, and DeepSeek is lowering the barrier for startups to leverage AI early in their journey. From customer service automation to deep-learning analytics, its entry democratises access to AI, making advanced technology more accessible to early-stage companies.

Startups will have more access to AI without heavy R&D costs, which will also accelerate innovation. In particular, AI-first startups, especially in fintech, e-commerce and healthtech will likely experience accelerated growth.

Scalable AI solutions will also help startups to compete globally. This will impact the ecosystem, which will experience a surge in demand for more AI engineers, data scientists and machine learning (ML) specialists.

Furthermore, DeepSeek’s launch signals a shift in AI development beyond Western dominance. As more models are built and trained locally, we’ll see AI solutions tailored to Southeast Asia’s unique market needs, driving industry-specific innovation across the region.

Simon Davis, founder and CEO of GOAT Gaming, an AI-powered network of games on Telegram

DeepSeek’s emergence represents a transformative moment for Southeast Asia’s technology landscape, fundamentally altering the economics of AI deployment in the region. By dramatically reducing infrastructure costs for AI implementation, it levels the playing field for smaller companies that previously couldn’t compete due to resource constraints.

The ability to run these models locally is particularly significant for Southeast Asian startups. Not only does it slash operational costs, but it also addresses crucial data sovereignty concerns that have historically complicated AI adoption in the region. Companies can now process sensitive data on their own servers, ensuring compliance with local privacy regulations without compromising AI capabilities.

This cost-effective, local-first approach opens up exciting possibilities for market-specific AI solutions. In Indonesia, for instance, companies can now realistically develop specialised models tailored to the unique cultural nuances of the market. This localisation potential extends across Southeast Asia’s diverse markets, where one-size-fits-all solutions often fall short.

The implications are profound. We might see a surge of innovative AI applications emerging from previously underserved markets. This democratisation of AI technology could catalyse a new wave of regional innovation, powered by companies that understand their local markets intimately.

Nitin Vyas, Sr. VP (Product & Data) at RedDoorz, a budget hotel network

As a hospitality technology company, we view the emergence of DeepSeek as part of the industry’s ongoing evolution and also making AI a level-playing field for everyone.

DeepSeek, as an entity focused on AI and advanced technology solutions, represents an opportunity to enhance operational efficiency, personalise services, and elevate customer experiences in the hospitality sector. A healthy competition among the AI giants will be beneficial for this industry as it gives a more balanced global view of how AI will shape the course of our civilisation.

Also Read: AI, personalisation, and 5 marketing activities you should be doing

This competition may enable corporations to implement AI more cost-effectively. At the same time, we could see an even faster pace of innovation and more advanced capabilities in the large language model (LLM).

Remi Choong, Elev8.vc, a VC firm

Cost-effective AI infrastructure: Increasingly cost-effective models, such as DeepSeek’s, will lower API costs. This enables AI startups to deliver cheaper and better solutions, similar to the disruptions we’ve seen in the solar panel industry.

Stronger demand for AI: With more affordable options, global AI adoption and spending will likely surge. Southeast Asian startups must quickly adapt to agile go-to-market strategies to capture the growing demand, particularly among SMEs.

Competition: Given lower AI costs, it is increasingly important for companies to adopt AI to maintain a competitive advantage. We can also expect to see an uptick in adoption across a broad spectrum of industries.

Balancing AI and hard tech: Investors need to ensure a balance between funding cutting-edge AI ventures and the infrastructure that supports them, especially in countries like Singapore with strong hard tech capabilities.

Jeff Pan, Belli.ai, which builds air cargo software for airlines

Speaking broadly, it’s unlikely that you’ll see the same velocity of change in Southeast Asia as you do in the EU/US, primarily due to the types of problems that we are solving.

Founders in the EU/US typically deal with high-capability customers who already have high internal capabilities and large IT budgets. In contrast, founders in Southeast Asia typically deal with early digitisation problems (helping low-capability customers with small IT budgets transition from paper and spreadsheets to basic CRUD applications), which will largely be unaffected by the cutting-edge progress you see being made by DeepSeek.

Much of the impact you will see (which is already happening) is that teams can generate 10x more impact with smaller teams, which you will see play out in (a) less hiring demands from startups, who don’t need as much headcount and (b) VC funds skewing away more towards top 10 per cent founders who can seize on these advantages rather than a broader base of portfolio companies.

Nofi Bayu Darmawan, founder and CEO of Komerce, an e-commerce enabler

The promise of AI in simplifying tasks and creating value, especially in the context of cost-effectiveness is huge.

When it comes to e-commerce, the impact of generative AI on customer engagement, especially its role in social media interaction, e-commerce, and automating customer service, is massive. DeepSeek can consolidate brand knowledge and communication across various platforms, including Google reviews and online chat on websites, enhancing the commerce ecosystem.

Warren Leow, CEO of Designs.ai

Deepseek has sparked a lot of interest because its progress has lowered service costs. This spurs more innovation and adoption among users as barriers to adoption are reduced.

In addition, having more choices across different vendors and technology providers, especially from open source, will only spur further improvements in the quality of applications being produced.

 

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The Asia Pacific was once primarily recognised for its kaleidoscope of cultures, but today, it’s increasingly synonymous with groundbreaking tech developments. A gradual shift in the global order has led many to reconsider the vast opportunities that APAC, with its blend of mixed economies, traditions, and lifestyles, has to offer.

While the US—particularly Silicon Valley—has long been seen as the epicentre of tech and innovation, the momentum is now steadily shifting eastward. The reasons are clear: maturing economies, improved mobility, and greater accessibility have positioned APAC as one of the most fertile grounds to test ideas and tap into emerging markets.

Take Indonesia’s rural areas, for example, where efforts to democratise financial services stand in stark contrast to the sophisticated fintech landscape of Singapore, a city-state with a financially savvy populace. Yet Singapore, with its reliance on imports and limited land for waste, faces unique sustainability challenges that are driving a shift toward a circular economy. Meanwhile, in Japan, an aging population is accelerating the development of health tech and medtech, spurred by a staunch focus on well-being.

These examples are just the tip of the iceberg. Across the region, a surge of innovation is not just changing industries but reshaping everyday life in profound ways. The scope and scale of what’s unfolding are unparalleled, making APAC a pivotal space for the future of global innovation.

To further shed light, here are eight tech trends defining APAC in 2024:

Artificial intelligence goes vertical

The initial buzz around AI revolved around its potential for general-purpose tasks, like chatbots—think OpenAI’s ChatGPT, Anthropic’s Claude, and Baidu’s Ernie Bot. However, these broad applications often fall short in meeting the intricate demands of specific industries. This gap is giving rise to vertical AI, where models are tailored to specific needs.

• Adopt industry-specific AI: Businesses should evaluate the benefits of customising AI models to address the unique challenges of their industry, ensuring precision and relevance.
• Leverage local expertise: Engaging with regional AI ecosystems can provide the cultural and market-specific insights needed to refine these solutions effectively.
• Invest in tools: To fully capitalise on vertical AI, invest in technologies that enhance data organisation and accessibility—crucial for AI model training.

Self-driving revolution

The thought of cruising through the streets of Jakarta or Bangkok without the frustration of gridlock seems far-fetched now, but autonomous vehicles could soon make it a reality. Beyond reducing traffic, self-driving technology promises to enhance road safety and mobility, especially for the elderly and disabled.

Also Read: ‘AIR’ review: 3 lessons for dealmaking and entrepreneurship

• Initiate pilot projects: Companies in logistics and urban planning should collaborate to test the viability of autonomous vehicles in high-traffic cities.
• Expand and integrate services: Explore how self-driving technology can complement existing mobility services, enhancing efficiency and accessibility.
• Keep compliant: Companies venturing into this space should stay aligned with evolving regulations to maintain public trust and ensure safe implementation.

Electrification is the future

As the global push for sustainability accelerates, the shift to electric vehicles is becoming inevitable. With rising energy demands and international commitments like those from COP28, the transition from fossil fuels to renewable energy sources is gaining momentum.

• Be the first mover: Proactively invest in technologies that facilitate the transition to renewable energy, positioning your company as a leader in the field.
• Scale up infrastructure: Prioritise the development of EV charging networks to support widespread adoption and operational efficiency.
• Collaborate beyond borders: Engage in cross-border partnerships to access a wider array of sustainable innovations that fit your operational needs.

Humanoid robots near commercialisation

Robotics is no longer confined to assembly lines or science fiction. Humanoid robots, capable of replicating human movements and decisions, are on the verge of widespread adoption, bringing unprecedented efficiency and adaptability to various industries.

• Identify use cases: Businesses should assess which areas would benefit most from humanoid robots, starting with controlled environments like manufacturing.
• Partner with innovators: Collaborate with companies to ease the integration of robotics into your operations, even if your business has no prior experience.
• Prepare for workforce transition: Develop comprehensive training programs to ensure your workforce adapts smoothly to robotic assistance.

Easier, more convenient payments

Despite advancements in financial literacy and services, many still struggle with access—particularly in regions where traditional financial systems exclude those without formal credit histories or who live in remote areas. Overcoming these barriers is essential for economic equality and broader participation in the financial ecosystem.

• Broaden financial access: Financial companies should consider developing inclusive products, such as buy now, pay later (BNPL) services, to cater to underserved populations.
• Streamline transactions: Focus on enhancing cross-border payment processes through strategic partnerships and technology adoption.

Cradle-to-cradle

The depletion of natural resources is a critical challenge that threatens both the environment and future economic stability. Shifting from a linear economy to a cradle-to-cradle approach—where materials are continuously reused—is no longer optional, but necessary.

Also Read: Exploring the rise of finance-as-a-service in APAC

• Embrace circular practices: Integrate recycling and reuse into your production processes to align with cradle-to-cradle principles.
• Engage in regional initiatives: Participate in frameworks like ASEAN’s circular economy initiatives to align with broader sustainability goals.
• Invest in sustainable innovation: Prioritise R&D in technologies that transform waste into valuable resources, ensuring long-term environmental and economic resilience.

Syncing data on the edge

As digitalisation sweeps across industries, the need for high-speed, low-latency networks has never been greater. The explosion in internet and mobile usage, combined with the integration of AI and IoT, is pushing traditional networks to their limits.

• Adopt edge computing: Reduce latency and improve real-time data processing by integrating edge computing into critical applications.
• Accelerate 5G rollout: Companies should expedite the deployment of 5G networks to meet the growing demands of connectivity.
• Explore alternative technologies: Consider innovative solutions like laser-based communication to complement traditional network infrastructures.

Taking a quantum leap

Nvidia’s rise highlights the critical role of semiconductors, but the limitations of traditional computing, dictated by Moore’s law, are becoming evident. Quantum computing offers a way forward, promising to solve complex problems exponentially faster than classical systems.

• Invest in quantum research: Stay competitive by keeping abreast of the latest developments in quantum computing, which will impact most industries.
• Develop quantum-ready solutions: Begin bridging the gap between classical and quantum computing to ensure a smoother transition as the technology matures.

The seismic shifts in APAC’s tech landscape are more than just emerging trends—they are redefining the future of global innovation. From AI specialisation to the rise of electric mobility and quantum breakthroughs, these developments present both challenges and unparalleled opportunities.

To explore these trends in greater depth and understand their far-reaching impacts, join us at GITEX Asia from April 23–25, 2025, at Marina Bay Sands, Singapore. This event is where the future takes shape, and where you can engage directly with the minds and technologies driving these changes. Be there to witness, contribute, and lead.

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This article was first published on November 5, 2024

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