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Calvin Tan
Co-Founder & CTO
Pints AI
Calvin Tan is Co-founder and Chief Technology Officer of Pints AI, a Singapore-based company developing private, auditable AI for financial institutions. He brings more than 15 years of experience across technology, product development and operational leadership, with a focus on translating AI research into practical enterprise systems. Pints AI’s Autothought platform helps financial institutions build and manage AI workflows—including underwriting and claims—with traceability and governance, and has been adopted across four countries.
Calvin is a PhD candidate in Artificial Intelligence at the Singapore University of Technology and Design and co-authored the technical report for 1.5-Pints, an open compact language model. Previously, he served 16 years as a helicopter pilot and senior officer in the Republic of Singapore Air Force. He brings a founder’s perspective and operational discipline to building trusted technology, meeting the demands of regulated industries and scaling enterprise AI across markets.
Speaking at SFF 2026
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2:25–3:00pmThu 19 NovFounders StageHall 2, Singapore EXPOPremium
Capital Rewiring
From market entry to regional scale: What does it take to win across ASEAN?
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Nandini JoshiGroup Chief Executive OfficerStashAway
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Calvin TanCo-Founder & CTOPints AI
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Lucy LiuCo-founder & PresidentAirwallex
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Alvinder SinghHead, Innovation Acceleration OfficeMonetary Authority of SingaporeModerator
About this session
ASEAN offers significant opportunities for regional growth, but its diversity means that success in one market does not readily translate to another. For Singapore-based FinTechs, the challenge is not simply where to expand, but how to sequence that growth: build credibility with a major customer at home, or enter another market early to test whether the business can travel. Firms must also decide what to own, what to localise and where partnerships can provide faster access to customers, infrastructure and regulatory capabilities. AI may sharpen market insights and support experimentation, but its value depends on sound use cases, trusted data and effective governance. These choices ultimately determine whether expansion creates regional scale or merely complexity.
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