Client features
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Can Southeast Asia claim its place in the AI economy?
Murli Ravi, Co-Founder and Managing Partner of Tin Men Capital, was featured in The Edge Singapore's feature exploring whether Southeast Asia can move beyond hosting AI infrastructure to building lasting enterprise value. The feature, which also drew on perspectives from INSEAD, NUS Business School, and AI Singapore, examined the region's position in the global AI value chain and the gap between investment and commercial impact.
Murli argued that the real test of AI sovereignty lies in who owns the application layer: "The commercial case for sovereign AI is not in the model. It is in the companies that deploy AI into the region's enterprises using that infrastructure. The question is not whether Southeast Asia builds its own [AI model] but whether the companies turning AI into enterprise value are owned here and built here."
The piece highlighted Tin Men Capital portfolio companies Ailytics, Groundup.ai, and Graas as examples of Southeast Asian AI startups solving measurable enterprise problems across construction safety, predictive maintenance, and e-commerce.
A C-SUITE VIEW ON AI
Igloo Co-Founder and CEO Raunak Mehta was featured in Tech in Asia's "A C-Suite View on AI" series, speaking with the publication about how artificial intelligence is being deployed across Igloo's operations and products.
In the interview, Mehta discussed Igloo's AI-native strategy, including how AI agents now handle claims document validation within seconds, how the company's recommendation engine achieves an 80% customer adoption rate, and how the recently launched Igi travel insurance sales bot drove a 20% increase in purchase completion in its first 10 days.
Southeast Asia insurers risk profit hit from weak data systems
Igloo Co-Founder and CEO Raunak Mehta was interviewed by Insurance Asia on how AI deployment on outdated data systems is limiting profitability gains for Southeast Asian general insurers. Mehta told the publication that insurers who make the right AI investments over three to five years could see profitability improve by 300 to 400 basis points, but warned that many still operate on decades-old infrastructure that needs upgrading before AI can deliver results.
"You need to separate the hype layer from what I call the infrastructure layer," Mehta said, noting that most general insurers in the region operate at high combined ratios with thin net incomes.
