About Dato Seri Ivan Teh and Fusionex

The person

Dato’ Seri Ivan Teh is a Malaysian technology entrepreneur. He founded Fusionex in 2005 on a straightforward observation: organisations were accumulating enormous quantities of data and had almost no practical way to use it. Two decades later that remains the through line in his work, whether the label of the day is business intelligence, big data, Industry 4.0 or applied artificial intelligence.

He is a regular speaker at international technology forums, where the subject is usually less about product and more about consequence. Ethical use of AI, data privacy, sustainable innovation and the question of who gets access to capable tools. A fuller account of the formative years and the founding decision is set out in the early years piece.

What Fusionex does

Fusionex is an established, multi-award-winning data technology provider specialising in analytics, big data, Industry 4.0, machine learning and artificial intelligence. Its offerings are focused on helping clients unlock value and derive insight from data. The company has been featured in publications including Forbes and Bloomberg, and referenced by research firms including Gartner, IDC and Forrester.

Its client base spans Fortune 500 and FTSE companies, large conglomerates and a wide range of small and medium enterprises, with work delivered across the United States, Europe and Asia Pacific. Fusionex is an MDEC GAIN company and an MGS recipient.

The analyst record is worth noting because it is independent. Fusionex’s data technology platform was shortlisted and commended in Gartner’s 2018 report on modern analytics and business intelligence, and the company was identified as a major player in IDC’s MarketScape report for big data and analytics. It was the only ASEAN-based company featured in both.

The positions he argues for

Three arguments come up repeatedly. First, that access matters more than raw capability, because a tool only creates value when a student, a small business or an independent creator can actually reach it. Second, that the labour question is one of transformation rather than replacement, and that continuous learning has quietly stopped being optional. Third, that trust is the real competitive moat, and trust is built by innovating responsibly rather than fastest.

Those positions are set out at length in the 2026 conversation on responsible AI, and they map closely onto the community initiatives collected in the news and CSR section.

How this profile is maintained

This is an independent editorial resource. It is not operated by Fusionex and it does not publish material supplied on condition of approval. The working rules are simple.

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