Rowspace
AI platform that turns institutional knowledge into compounding edge for financial services firms.
- Founded
- 2024
- Headquarters
- San Francisco, CA
- Latest Round
- Series A
- Est. Valuation
- ~$300M
Investment Thesis
Rowspace helps financial firms like private equity and hedge funds make faster, sharper decisions by turning their proprietary data into actionable intelligence. The platform connects structured and unstructured data across a firm's entire history, models how that firm operates and thinks, and delivers that intelligence wherever teams work.
Founded in 2024 by former Notion CTO Michael Manapat and former Uber corporate development director Yibo Ling, Rowspace launched in February 2026 with $50M in funding across a seed round led by Sequoia and a Series A co-led by Sequoia and Emergence Capital. Stripe, Conviction, Basis Set, and Twine also participated.
Private equity and financial services analysts spend hundreds of hours per deal on manual data extraction, financial modeling, and due diligence across fragmented data sources — work that is repetitive but requires deep domain expertise.
Rowspace builds AI copilots purpose-built for PE and financial services workflows, automating the grunt work of financial analysis, portfolio monitoring, and deal evaluation while preserving the judgment layer for senior professionals.
Financial services firms are among the highest-willingness-to-pay buyers of AI tools, with PE firms actively piloting solutions that can give them speed advantages in competitive deal processes.
LLMs can finally parse complex financial documents (CIMs, 10-Ks, credit agreements) with sufficient accuracy for professional use, and the PE industry's $8T+ AUM creates enormous incentive to deploy AI for even marginal efficiency gains.