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Rowspace

Category: AI in Fintech

An AI platform that helps financial services firms accelerate decision-making by turning their proprietary data into compounding edge through intelligent integration of structured and unstructured data. Rowspace was founded in 2024. The company is led by Michael Manapat. Based in San Francisco, United States. Team size: 18. Total funding raised: $50.0M. Latest round: Series A (co-led by Sequoia and Emergence Capital, Feb 2026). Key investors include ["Sequoia Capital","Emergence Capital","Basis Set Ventures","Stripe","Conviction","Twine Ventures","Finance-focused angel investors"].

Founded
2024
Headquarters
San Francisco, United States
Team size
18
Total funding
$50.0M

Value proposition

Operationalizes institutional knowledge by connecting fragmented data across a firm's entire history and applying finance-native AI to enable faster, fully-informed decision-making without sacrificing rigor or accuracy.

Products and solutions

["AI Intelligence Layer for Financial Data","Portfolio Monitoring System","Complex Analysis Platform for Historical Deal Data","Credit Portfolio Optimization Engine","Excel and Microsoft Teams Integration Tools","Secure Customer Cloud Deployment Infrastructure"]

Unique value

Finance-native AI platform that deploys directly into customer cloud environments, integrating structured data (accounting systems, financial models) and unstructured data (memos, emails, documents, old PowerPoints) while applying firm-specific reasoning logic to codify institutional judgment accumulated over decades.

Target customer

Private equity firms, hedge funds, credit funds, and crossover firms managing hundreds of billions to nearly one trillion dollars in assets

Industries served

["Private Equity","Hedge Funds","Credit Funds","Alternative Investment Management","Financial Services","Asset Management"]

Technology advantage

Processes data within customers' own cloud systems for security (data never leaves their control); performs advance reasoning rather than real-time search; maps relationships across fragmented datasets and applies firm-specific logic to reconcile information discrepancies; combines technical depth from Notion/Stripe engineering teams with firsthand finance experience from CFO-level leadership.

How they differentiate

Finance-native AI platform that deploys directly into customer cloud environments for security, integrating structured and unstructured data (memos, emails, documents, financial models) while applying firm-specific reasoning logic to codify institutional judgment accumulated over decades; unlike competitors that provide external market data, Rowspace operationalizes a firm's proprietary historical data

Main competitors

["AlphaSense","Bloomberg Terminal","Kensho (S&P Global)"]

Key partnerships

["Sequoia Capital (Lead investor across Seed and Series A)","Emergence Capital (Co-lead Series A investor)","Stripe (Strategic investor)","Conviction (Participating investor)","Basis Set Ventures (Participating investor)","Twine Ventures (Participating investor)","Finance-focused angel investors"]

Notable customers

["Longstanding name-brand private equity firms","Credit funds","Crossover firms working in both public and private markets"]

Major milestones

["Founded in 2024 by Michael Manapat (former Notion CPTO and Stripe ML Head) and Yibo Ling (former CFO at Bird and Uber Corporate Development)","Raised $50M across Seed and Series A funding (Feb 2026)","Secured seven-figure annual contracts with top financial institutions","Deployed secure customer cloud infrastructure for data-sensitive clients"]

Growth metrics

Serving ~10 top-tier financial institutions with seven-figure annual contract values; clients manage hundreds of billions to nearly $1 trillion in combined assets

Market positioning

Premium AI intelligence platform for institutional financial services, targeting private equity firms, hedge funds, and credit funds with seven-figure annual contracts and managed cloud deployments

Geographic focus

United States (San Francisco headquarters with New York operations)

Patents and IP

No registered patents disclosed as of public launch (February 2026)

About Michael Manapat

Former Chief Product and Technology Officer (CPTO) at Notion (Jan 2023-Sep 2024), Head of Engineering at Notion (Feb 2020-Jan 2023), Head of Applied Machine Learning at Stripe (Jan 2013-Jan 2019) where he built ML systems processing billions in transactions for fraud detection (Radar), credit underwriting (Capital), and forecasting (Sigma); Former Software Engineer at Google and Postdoctoral Fellow in Applied Mathematics at Harvard; Holds PhD in Mathematics from MIT and BA in Mathematics from UC Berkeley

Official website: