From AI Hype to AI Proof: Southeast Asia’s Investment Reset- By Mike Maté, General Partner, Kickstart Ventures
The era of funding AI promises is fading. Across Southeast Asia, investors are increasingly backing companies that can prove outcomes, navigate fragmented markets and build businesses capable of scaling beyond a single country.
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When Eezee raised its pre-Series B last year, the Singapore-based procurement platform did something that would have felt almost quaint at the height of the generative AI frenzy. It charged customers only after delivering measurable results. It didn’t charge based on vanity metrics, nor on dashboards dressed up as outcomes. Rather, Eezee made a simple proposition: pay us when we prove it works.
That model would have seemed conservative in 2023, but in 2025, it helped close an oversubscribed round. That tells you something important about where AI investing in Southeast Asia is right now.
From Hype to Hard Numbers
The post-ChatGPT enthusiasm has run its course, at least in Southeast Asia*. Investors who funded almost any pitch with ‘AI-powered’ on the cover through 2023 and early 2024 are now applying a sharper test. They question genuine productivity gains and evaluate AI in embedded workflows people use every day. Evidence on both has become the prerequisite for follow-on capital.
The numbers reflect this shift plainly. Deal flow in Data Analytics and AI/ML dropped to 20 transactions in 2025, down from 35 the previous year. Total funding landed at $214 million, a figure propped up by a stronger second half but still well below where the sector was trading at its peak. Volume is down and scrutiny is up.
But is this a crisis or a market correction? In markets as structurally underserved as Southeast Asia, corrections often separate durable companies from funded experiments. And why is it happening to Southeast Asia?
The SEA Friction
Southeast Asia is not one market. It has multiple regulatory environments, a dozen dominant languages and wildly uneven infrastructure—all inside a region being asked to absorb enterprise AI at the same pace as North America and the EU, but without the same depth of institutional readiness.
Capital concentration is already telling this story. Where AI funding is flowing in the region, it is pooling in two places: enterprise AI solutions, which are winning on value, and AI agents and automation, which are leading on volume.
Consumer-facing AI, particularly anything that touches financial services or health data, is running into the regulatory and trust headwinds that define operating in markets like Indonesia, the Philippines and Thailand.
Take Lydia AI, whose ORCA platform helps distributors design AI solutions for complex regulated enterprises, with a track record of deployment within financial services. Lydia AI established traction in the Taiwan market before turning towards the Philippines and eventually the rest of Southeast Asia because navigating data sovereignty, regulatory complexity and local partnership structures required a sequencing strategy.
The company first built scale in Taiwan, learnt how to navigate enterprise sales cycles and regulatory hurdles, educated institutional customers and then applied those lessons to new markets one by one.
The founders who understand this are raising because they understand the realities of market entry and product-market fit. The ones who do not are burning the runway, waiting for shortcuts that do not exist.
What 2026 Looks Like
In 2026, AI will mature from promises to proof. Southeast Asia’s AI moment is still ahead. The difference now is that the capital chasing it has learnt to ask better questions.
An investment thesis that probably made sense two years ago—find the AI-native team, fund the infrastructure, let the market catch up—has been replaced by something more grounded.
The question GPs should be asking now is not whether AI will reshape Southeast Asian enterprise, because it will. The questions, rather, are: which companies have already built the distribution relationships, the compliance architecture and the deployment proof points to capture that value? And more importantly, which companies can capture it at scale?
This is still a venture, after all.
*North American funding in AI, however, is still powering through, with record-breaking valuations for OpenAI, Anthropic and Cursor, among others.
When Eezee raised its pre-Series B last year, the Singapore-based procurement platform did something that would have felt almost quaint at the height of the generative AI frenzy. It charged customers only after delivering measurable results. It didn’t charge based on vanity metrics, nor on dashboards dressed up as outcomes. Rather, Eezee made a simple proposition: pay us when we prove it works.
That model would have seemed conservative in 2023, but in 2025, it helped close an oversubscribed round. That tells you something important about where AI investing in Southeast Asia is right now.
From Hype to Hard Numbers
The post-ChatGPT enthusiasm has run its course, at least in Southeast Asia*. Investors who funded almost any pitch with ‘AI-powered’ on the cover through 2023 and early 2024 are now applying a sharper test. They question genuine productivity gains and evaluate AI in embedded workflows people use every day. Evidence on both has become the prerequisite for follow-on capital.
The numbers reflect this shift plainly. Deal flow in Data Analytics and AI/ML dropped to 20 transactions in 2025, down from 35 the previous year. Total funding landed at $214 million, a figure propped up by a stronger second half but still well below where the sector was trading at its peak. Volume is down and scrutiny is up.
But is this a crisis or a market correction? In markets as structurally underserved as Southeast Asia, corrections often separate durable companies from funded experiments. And why is it happening to Southeast Asia?
The SEA Friction
Southeast Asia is not one market. It has multiple regulatory environments, a dozen dominant languages and wildly uneven infrastructure—all inside a region being asked to absorb enterprise AI at the same pace as North America and the EU, but without the same depth of institutional readiness.
Capital concentration is already telling this story. Where AI funding is flowing in the region, it is pooling in two places: enterprise AI solutions, which are winning on value, and AI agents and automation, which are leading on volume.
Consumer-facing AI, particularly anything that touches financial services or health data, is running into the regulatory and trust headwinds that define operating in markets like Indonesia, the Philippines and Thailand.
Take Lydia AI, whose ORCA platform helps distributors design AI solutions for complex regulated enterprises, with a track record of deployment within financial services. Lydia AI established traction in the Taiwan market before turning towards the Philippines and eventually the rest of Southeast Asia because navigating data sovereignty, regulatory complexity and local partnership structures required a sequencing strategy.
The company first built scale in Taiwan, learnt how to navigate enterprise sales cycles and regulatory hurdles, educated institutional customers and then applied those lessons to new markets one by one.
The founders who understand this are raising because they understand the realities of market entry and product-market fit. The ones who do not are burning the runway, waiting for shortcuts that do not exist.
What 2026 Looks Like
In 2026, AI will mature from promises to proof. Southeast Asia’s AI moment is still ahead. The difference now is that the capital chasing it has learnt to ask better questions.
An investment thesis that probably made sense two years ago—find the AI-native team, fund the infrastructure, let the market catch up—has been replaced by something more grounded.
