Investor Data as a Service

Automated investor research, mapping, and personalised outreach. Never spend hours on manual research again.

The Problem

Fundraising requires deep investor research, who to target, what they've invested in, warm intro paths, thesis alignment. Founders spend 20+ hours per batch on manual research. It's slow, inconsistent, and doesn't scale.

How it works

01

Investor mapping

NFX Signal, Crunchbase, and AI analyse your sector, stage, and geography to build a targeted investor list with thesis alignment scores.

02

Personalised outreach

AI generates personalised emails referencing each investor's specific portfolio, recent deals, and stated thesis, not generic templates.

03

Tracking & follow-up

Automated tracking of responses, follow-up sequences, and CRM updates. You see the pipeline in real-time.

Use cases

Seed / Pre-seed fundraising

Build and execute a targeted investor list with personalised outreach at scale.

Series A/B scaling

Identify strategic investors, map warm intro paths, and automate follow-up sequences.

Investor updates

Automated monthly/quarterly updates personalised for each investor's interests and portfolio.

Competitive intel

Track what competitors are fundraising, who's investing, and where the market is shifting.

Tech stack

NFX SignalCrunchbaseClayAnthropic
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