Rowspace, an AI platform that helps financial firms make faster decisions using their proprietary data, has launched with $50m in funding across a seed round and Series A.
The Series A was co-led by Sequoia and Emergence Capital, with the seed round led by Sequoia. Additional participants across both rounds include Stripe, Conviction, Basis Set, Twine, and a number of angels from across the finance industry.
The platform connects structured and unstructured data across a firm’s entire history — spanning document repositories, investment and accounting systems, and data infrastructure — and applies a finance-native lens that reflects how a firm reconciles information, interprets discrepancies, and makes decisions.
Rowspace can be accessed through its own interface, within tools such as Excel and Microsoft Teams, or directly into a firm’s existing data infrastructure.
Firms managing hundreds of billions to almost a trillion dollars in assets are already using Rowspace for portfolio monitoring, complex analysis across decades of deal data, and credit portfolio optimisation. Use cases include helping private equity firms draw on decades of institutional knowledge when evaluating new deals, enabling growth investors to act on current data rather than figures that could take weeks to reconcile, and allowing credit investors to identify opportunities aligned with their macro view while satisfying compliance tests at both loan and portfolio level.
The company plans to scale quickly across its San Francisco and New York offices this year, with a focus on hiring engineering and research talent.
Rowspace CEO Michael Manapat said, “Finance is full of high-stakes decisions. There used to be a tradeoff between moving quickly and making fully informed, nuanced decisions using all the possible data at a firm’s disposal. Our AI platform eliminates that tradeoff. We’re building specialized intelligence that turns a firm’s data into scalable judgment with the rigor finance demands.”
Rowspace COO Yibo Ling said, “I’ve lived this problem. As a former CFO who’s managed a major investment portfolio, I’ve made decisions by synthesizing data across fragmented systems. Most tech tools aren’t comprehensive or nuanced enough for finance. And most finance tools need to raise their technical ceiling. We intend to do both.”
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