F2

Active

The AI platform for private markets investors

Summer 2025Founded 202515 peopleNew York, NY, USA

f2.ai ↗LinkedIn ↗X ↗Crunchbase ↗See on the Idea Map B2B momentum

About

F2 is the AI platform for private markets investors. Purpose-built for private credit, private equity, and commercial banking, F2 accelerates diligence, underwriting, and portfolio monitoring, helping teams evaluate deals over 60% faster. F2 turns unstructured deal data into investment-grade analysis and polished memos in minutes. Unlike general-purpose AI, F2 is built with the domain expertise and depth to handle the most complex financial analysis. Already trusted across thousands of deals, F2 makes collaboration easy and retains historical context, so past work compounds into future wins. Headquartered in New York City, F2 is backed by leading investors including NFX, Left Lane Capital, and Y Combinator.

From their website

as of Jun 7, 2026f2.ai ↗

SaaSSubscription

F2 is an AI-driven compounding intelligence platform for private markets, aiming to turn a firm’s deal history into a proprietary asset to improve screening, diligence, underwriting, and monitoring across private credit, private equity, and related deal teams.

The platform ingests and organizes a firm’s historical deals and documents into an institutional knowledge library that is queryable in natural language. It supports end-to-end deal workflows: screen with full context, diligence at investment-committee depth, underwrite using real Excel files with live formulas and dependency tracking, and monitor portfolios end-to-end. Outputs are real Excel files with live formulas, traceable back to original sources, and the library grows automatically as new deals close. It emphasizes structured precedent search, risk surfacing, sponsor analysis, covenant and leverage assessment, and portfolio monitoring.

Who it’s for: Private markets deal teams including private credit, commercial banking, and private equity groups that want to convert deal history into a proactive, data-driven decision asset.

Features

Institutional knowledge library for deals and memos
Natural language query across past deals and models
End-to-end deal screening, diligence, underwriting, and monitoring
Excel-native outputs with live formulas and dependency tracking
Audit mode with source-traceable numbers
Automatic library growth from new deal outcomes
Sponsor and covenant risk analysis

Hiring/traction mentions (client logos and testimonials) indicating active adoption and growth; multiple large financial institutions cited in testimonials suggest enterprise traction.