According to a recent LinkedIn post from Dakota, Founder and CEO Gui Costin is portrayed as challenging how investment firms are framing their artificial intelligence plans. The post suggests that firms should focus less on which AI model they use and more on the scope and quality of the underlying data being used to train these tools.
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The post highlights Dakota’s claim that its coverage spans more than 95% of the global LP, GP, and private company market, positioning this as a potential data advantage for AI-driven analysis in private markets. For investors, this emphasis on data breadth may signal Dakota’s intent to compete as an infrastructure provider for institutional investors seeking differentiated insights in alternative investments.
The message further implies that firms adopting AI quickly, particularly those leveraging broader datasets, could gain a meaningful competitive edge over slower-moving peers. If accurate, Dakota’s positioning as a data and intelligence provider could support future growth in subscription or platform revenues tied to private markets and institutional investing workflows.