Private equity firms face a significant challenge in scaling judgment, which is crucial for making informed investment decisions. Rowspace, a San Francisco-based startup, has emerged from stealth with $50 million in funding to tackle this problem. The company’s AI platform is designed to learn how a firm thinks and make decision-making more efficient.

Rowspace was founded by Michael Manapat and Yibo Ling, two MIT graduates who recognized the need for a more comprehensive and nuanced approach to finance technology. The platform connects structured and unstructured data across a firm’s entire history, applying a finance-native lens to reflect how a firm reconciles information, interprets discrepancies, and makes decisions.

With early customers already on board, including top private equity and credit firms managing hundreds of billions of dollars in assets, Rowspace is poised to revolutionize the industry. The company’s seed round was led by Sequoia, and its Series A was co-led by Sequoia and Emergence Capital, with participation from Stripe, Conviction, Basis Set, Twine, and a group of finance-focused angel investors.

Rowspace’s platform is designed to help asset management firms scale their judgment and uncover valuable patterns and insights from their data. By processing all data inside a client’s system, Rowspace ensures that sensitive information remains secure and proprietary.

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