According to a recent LinkedIn post from Drip Capital, the trade-finance firm is emphasizing the role of AI-driven underwriting and what it describes as “invisible collateral” as a potential solution to a roughly $2 trillion gap in global trade finance. The post references CEO Pushkar Mukewar’s discussion at Davos with Business Today about the “SME Squeeze,” where smaller exporters face capital constraints despite resilient global trade volumes.
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The company’s LinkedIn post highlights that while businesses operate at a modern, data-rich pace, their access to capital often remains bound to legacy banking cycles. By applying native machine learning to convert operational data into what it characterizes as a bankable asset, Drip Capital suggests it can extend more predictive and inclusive financing to small and mid-sized enterprises.
For investors, the post suggests Drip Capital is positioning itself at the intersection of AI, trade finance, and SME lending, markets that could support scalable, data-driven growth if risk models prove robust. If the firm’s technology can reliably translate operational metrics into credit signals, this may improve portfolio risk management and unlock higher transaction volumes across supply chains.
The emphasis on “invisible collateral” also points to a strategy that may reduce dependence on traditional physical collateral, potentially widening the addressable market among underbanked exporters. However, the commercial impact will likely depend on regulatory acceptance of AI-based underwriting, competitive dynamics in trade finance, and the company’s ability to demonstrate performance through credit cycles.