/Methodology

How we build this database

Fundraising Fox is a programmatically assembled database with editorial oversight. This page explains exactly how the data is collected, verified, and kept fresh.

Where the data comes from

Every record is assembled from public sources: regulatory filings (such as SEC Form ADV and Form D in the United States), official registries, open datasets, and — most importantly — investors' own websites. We never scrape sources that prohibit it, and we never republish text verbatim: descriptions and theses are rewritten factual summaries with the source attributed.

Provenance for every fact

Each fact in the database (a check size, a sector focus, a team member) is stored with the source it came from and the date we saw it. When sources disagree, the investor's own website wins over third-party data, and newer evidence wins over older. Profiles display when they were last verified.

Quality gates

A profile is only published once it clears a completeness bar — verified website, description, and at least one investment stage or sector. Lists are only published when enough qualifying firms exist to make them genuinely useful. Ambiguous matches between records go to human review instead of being merged automatically.

Freshness

Firm websites are re-crawled on a rolling schedule and regulatory sources are refreshed as they are published (daily for new fund filings, monthly for adviser data). When a person disappears from a firm's team page, we record the departure rather than deleting history.

Corrections

If you represent a firm and something is wrong on your profile, email corrections@fundraisingfox.com. Corrections are applied with priority over all automated sources.

License and reuse

The pages are open under CC BY 4.0: you may copy, quote, and build on them — including in AI assistants, research, and journalism — as long as you credit "Fundraising Fox" and link the page you drew from. No login, no paywall, no permission needed to read.

Data access

Bulk data comes in two forms. The free Open Dataset is a monthly audited snapshot (CC BY 4.0, on GitHub, Hugging Face, and Kaggle) — funding rounds are published on a delay. Zero-lag rounds, deeper fields, and API delivery are available as a licensed package: see fundraisingfox.com/data. Systematic crawling of the site itself is rate limited — the bulk channels are faster, cheaper for everyone, and come with audited error rates.