Rowspace Raises $50M to Build AI for Wall Street's Data Mess
MIT grads launch Rowspace with $50M to help PE firms and hedge funds wrangle unstructured data using AI.
Rowspace just stepped out of stealth with a hefty $50 million across seed and Series A rounds. The startup builds AI tools designed specifically for private equity firms and hedge funds that need to make sense of messy, unstructured data.
Co-founders Michael Manapat and Yibo Ling met at MIT graduate school before splitting off into separate careers. Now they've reunited to tackle a problem that's plagued finance for years: turning chaotic data into something useful for investment decisions.
That $50M war chest is unusually large for early-stage funding, signaling serious investor confidence in the financial AI space. PE firms and hedge funds sit on mountains of documents, emails, and reports that resist easy analysis. Rowspace wants to be the tool that finally organizes it all.
The finance-meets-AI niche keeps getting more crowded — but the checks keep getting bigger.