Peter Mah joined V-Key in 2019 with one goal: help a Singapore cybersecurity company grow beyond its borders. No global brand. No outbound playbook. Just a patented product, a handful of Singapore's biggest banks as proof, and a simple belief: trust compounds.

Today, V-Key protects over 300 mobile applications across 15 countries, securing digital banking for some of Asia's most recognised financial institutions. In a market where buyers can't afford to make the wrong decision, opportunities are often created long before a formal buying process begins.

In this fireside conversation with HubSpot's Head of Enterprise Asia, Kin Weng Tan, Peter shares how V-Key built a commercial motion around that reality — the moments that earned trust, the operating discipline that now supports it, and what revenue leaders can learn about building a GTM motion for how buyers make decisions today.

The marketing playbook that powered over a decade of growth is played out. Six in ten searches now end in an AI overview. Paid reach costs more and delivers less. And the buyer journeys that used to flow predictably through the funnel have been completely re-routed.

For marketing leaders, the question is no longer what broke. It is what comes next.

In this session, Mia MacKinnon, HubSpot's Head of Integrated Marketing for APAC, shares how HubSpot transformed its own marketing strategy in response — and introduces Loop Marketing, a new framework for growing in the AI era, powered by humans and AI working together. Expect real data from HubSpot's own pivot, and a clear plan to take back to your team.

In this session, you will learn:

• • The shifts reshaping buyer behaviour, and what it means for where and how you invest in awareness
• • Why your authentic point of view is your most defensible marketing asset in the AI era, and how to define it so AI scales your message rather than dilute it
• • What answer engine optimisation (AEO) is, why it matters now, and the principles behind HubSpot's growth in AI-sourced demand
• • How personalisation at scale works in practice, with a real case study delivering a 9X improvement in engagement

When buyers ask AI for a recommendation, does your brand show up?

Monthly AI sessions are now 56% the size of global search — and that number is growing. Buyers who discover brands through AI arrive already informed, and ready to act. But getting in front of them requires a fundamentally different content strategy — one built for how AI surfaces, cites, and recommends brands, not how Google ranks them.

In this tactical session, Aja Frost, HubSpot's Senior Director of Global Growth and Paid, shares seven strategies for building AI visibility, backed by HubSpot's analysis of hundreds of millions of answer engine responses.

You'll leave with:

• • A clear understanding of why your blog is still one of your most powerful AEO assets, and how to restructure it so AI cites you
• • A breakdown of which content formats and page structures AI is most likely to cite, and the tactics to stop prioritising
• • Why LinkedIn, Reddit, and YouTube are now as important as your website for AI visibility — and what to do about it
• • A 30-day action plan to improve your brand's AI visibility before your competitors do

The brands seeing the strongest growth right now are not waiting for buyers to search. They are shaping decisions before intent is formed — reaching audiences earlier, with content that builds familiarity and trust long before a purchase is considered.

TikTok has become one of the most powerful channels for that early-stage demand creation. Yet for most businesses, connecting that reach to revenue remains the missing piece.

In this session, TikTok and HubSpot share how leading brands are using creative storytelling and AI-powered tools to drive discovery at scale — and how the TikTok x HubSpot integration turns that engagement into pipeline your team can actually act on.

You will leave with:

• • A clear understanding of how TikTok fits into a modern demand generation strategy, and where it delivers the highest return
• • What the TikTok x HubSpot integration looks like in practice, and how it connects top-of-funnel engagement to measurable pipeline

WhatsApp is the most used messaging platform across Southeast Asia. It is also one of the most underleveraged revenue channels in the region.

When businesses move beyond reactive customer service and embed WhatsApp into how they acquire, convert, and retain customers, the results are significant: up to 2x improvement in customer lifetime value and 25-30% higher conversion rates. Yet most businesses are still using it to respond, not to grow.

In this session, Meta, Sinch, and HubSpot share what it actually takes to close that gap.

You will leave with:

• • A clear view of the WhatsApp revenue opportunity across SEA, and what the data shows is achievable
• • A practical understanding of how AI and human expertise work together to scale messaging without losing the personal touch
• • Real examples of how enterprises across banking, logistics, and education are turning WhatsApp into a measurable growth channel

The biggest barrier to scaling AI isn't access to technology. It's having the confidence that AI will deliver reliable, trustworthy outcomes.

According to HubSpot research, 43% of Singapore organisations cite trust and reliability as their biggest barrier to deeper AI adoption, while only 6% feel fully prepared to deploy and scale AI agents. The challenge is no longer capability. It's building the right foundations.

In this fireside conversation, leaders will explore what it takes to move from experimentation to enterprise-wide AI adoption by getting the fundamentals right—from data foundations and governance to operating models and leadership decisions. Drawing on real-world experience, they'll share how organisations can build governance that enables innovation, strengthens trust, and creates the confidence to scale AI responsibly.

You'll leave with a clearer view on:

• • Building the data and governance foundations needed before scaling AI.
• • Designing governance that enables innovation rather than slowing it down.
• • Turn responsible AI principles into practical decisions that support long-term business

Three years into the AI shift, the question is no longer what’s possible, but what’s actually working. 

Most organisations in Singapore already have AI tools in play. Pilots are running. Agents are being tested. And yet for the majority, the impact still isn't showing up where it matters — in revenue growth, customer retention, or competitive position.

This keynote sets the frame for the day. It explores the shift from experimentation to execution — and why agentic platforms, grounded in context, are becoming the differentiator in turning AI ambition into outcomes.

You'll leave with:

• • A clear model for why AI impact is stalling in most organisations, and what's driving the gap
• • A framework for thinking about your organisation's growth context — and where the highest-leverage opportunities to connect it are
• • A leadership lens for what comes next and making decisions in a landscape that's still forming.

Amy Bell backs her instincts early, she has a track record of spotting what a market wants, sometimes before it knows it wants it, and the grit to make her vision a reality.

A lawyer by training, Amy established The Meat Club, a premium meat subscription company she and her husband still run today. Her latest venture is also one you may have heard of: Amy is the co-founder of Yo-Chi Singapore, the business brains and local operator behind the frozen yoghurt brand that's taken Singapore by storm.

In this closing conversation at Reimagine '26, Amy shares what she has learned from building different businesses: what it takes to read a market, create community, and develop brands that set trends rather than chase them. She talks about why serving a market means serving its people, not transplanting what worked somewhere else, and why local relevance is the thing most brands get wrong when they scale.

Come for the story. Leave with a rare look inside how a serial entrepreneur identifies and backs a bet, and builds successful brands people love.

The pace of change leaders are navigating right now has no precedent. AI is at the centre of it — but the hardest part isn't the technology. It's leading people through it.

Rolling out tools is easy. Rewiring how teams think, decide, and work is not. And the gap between AI experimentation and AI impact almost always comes down to the same thing: organisations move too fast to execution without doing the harder work of understanding how their teams actually operate.

Ben Putterman, HubSpot's VP of Learning and Talent, has spent the last two years navigating this from the inside. The journey between AI experimentation to fluency and business impact is messy and hard. This session explores what it takes to close that gap, including a live on-stage demonstration of how to break down and redesign a real workflow to identify where AI should automate, where it should augment, and where humans must lead.

In this session, you will learn:

• • Why AI adoption stalls at the people and organisational layer, and how to diagnose where your teams are getting stuck
• • The difference between AI assistants and AI agents, and where each fits in a realistic adoption journey
• • A four-level maturity model for assessing where your organisation sits today, and the specific next step at each level

Most companies talk about regional expansion once the opportunity is already in front of them. Aspire started building for it years before they needed to.

That decision — to lay the regulatory groundwork, build the team structure, and make the hard operating model calls before the market demanded it — is what put Aspire on Singapore's Fastest-Growing Companies list three years running, and on the ground in 30 markets with more than 50,000 businesses on the platform.

CPO Damien Passavent was at the centre of those decisions. In this conversation with HubSpot's Megan Hughes, he shares what that journey looked like from the inside — the decisions that couldn’t wait, the things that are still being figured out, and what he’d want every leader in this room to think about before they make their next move.

You'll leave with a clearer view on:

• • Why market timing matters less than most leaders think, and what actually needs to be true before you move
• • The operational and regulatory decisions that determine whether regional expansion scales or stalls
• • What it takes to build a team that wins locally without losing the coherence of the broader business
• • What scaling across multiple markets simultaneously demands from the leaders running it

This session brings HubSpot’s latest product innovation into context, showing how leading teams are using it to drive real growth.

See how AI, automation, and unified customer data come together to help marketing, sales, and service teams move faster and stay aligned.

Most organisations in Singapore already have AI tools in play. The question keeping leaders up at night isn't whether to adopt AI, it's much harder: why isn't it delivering the way it should?

There's a widening gap between AI activity and AI outcomes. The organisations pulling ahead are the ones who have worked out what AI actually needs to drive real business results: the right foundations, the right operating model, and the leadership decisions to hold it together.

This panel brings together some of the most consequential voices in AI and business today, spanning frontier AI development and global technology at scale, to cut through the hype and focus on what's actually working.

You’ll leave with a clearer view of:

• • What separates organisations where AI is driving measurable outcomes from those where it's adding activity without impact
• • What hybrid human-AI teams actually look like in practice
• • What's working across Asia right now - the patterns emerging across industries and business models
• • What to prioritise in the next 90 days to start driving outcomes from AI

Two different companies, two different starting points, one consistent finding: growth compounds when the foundations underneath it are right.

Most growth teams have the tools. The harder question is why some organisations see results that build on each other and others don't.

In this session, two senior GTM leaders share what was actually getting in the way, what they changed, and what surprised them. One rebuilt his go-to-market motion from the outside in — positioning, team structure, and incentives. The other rebuilt it from the inside out — data, systems, and operating discipline. Together, they cover the full picture.

No theory. No product demos. Just two practitioners talking candidly about what moved the needle and what they'd do earlier if they were starting again.

You'll leave with a clearer view on:

• • How to build alignment between cross-functional teams around a shared commercial goal, not just shared tools
• • What to fix in your data and systems foundation before AI and automation can deliver reliably
• • How to know when your GTM motion is ready to scale and the signals that tell you it isn't yet