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Rowspace

Fintech · San Francisco, United States · Founded 2024

Rowspace is a financial technology company that provides an artificial intelligence platform designed to help financial services firms operationalize their proprietary data for decision-making. The company was founded in 2024 by CEO Michael Manapat, the former CTO of Notion, and COO Yibo Ling, a two-time CFO who also led Corporate Development at Uber. Their combined experience in building systems for messy data in high-stakes environments and managing investment portfolios from the user's perspective informed the company's creation. The company officially launched on February 25, 2026, with $50 million in funding from a seed round and a Series A round. The Series A was co-led by Sequoia and Emergence Capital, while the seed round was led by Sequoia. Other participants included Stripe, Conviction, Basis Set, and Twine. Rowspace is headquartered in San Francisco with an office in New York. The platform addresses the challenge of institutional knowledge being fragmented across various systems like investment memos, financial models, emails, and legacy data infrastructure. It connects both structured and unstructured data from a firm's historical records and applies a "finance-native lens" to model how the firm interprets information and makes decisions. The system is designed for high-stakes financial decisions where general-purpose AI tools may lack the required specificity and accuracy. It integrates into existing client workflows, including tools like Excel and Microsoft Teams, or directly into a firm's data stack. To meet the stringent security requirements of financial institutions, Rowspace deploys directly into customer environments, ensuring that proprietary data remains under the client's control. The business model is geared towards institutional customers, with clients including firms managing assets from hundreds of billions to nearly a trillion dollars. These clients use the platform for tasks such as portfolio monitoring, complex historical deal analysis, and credit portfolio optimization. For example, a credit originator can monitor portfolio health in real-time, or a private equity firm can analyze its 50-year track record to inform new investment decisions. The company reports having annual contracts valued in the seven-figure range with approximately ten top-tier firms. Keywords: financial data AI, proprietary data operationalization, institutional knowledge platform, investment decision-making, financial services technology, unstructured data analysis, finance-native AI, portfolio monitoring, deal analysis, credit optimization, Sequoia, Emergence Capital, Michael Manapat, Yibo Ling, FinTech, data infrastructure, secure AI deployment, asset management technology, private equity tools, credit analysis software