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Vang Capital

UK-based pre-seed and seed fund. Founded 2019 by Matthew Eisner. 32 portfolio companies across fintech, devtools, marketplace, blockchain, and SaaS. Fund I fully deployed. Thesis: pre-seed bets on data-centric companies (companies whose unit-economics improve with data, not just companies that use data).

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-23T14:29:45.694Z. Cached copy · Source on vang.capital

# Vang Capital

> UK-based pre-seed and seed fund. Founded 2019 by Matthew Eisner. 32 portfolio companies across fintech, devtools, marketplace, blockchain, and SaaS. Fund I fully deployed. Thesis: pre-seed bets on data-centric companies (companies whose unit-economics improve with data, not just companies that use data).

## Key facts

- Fund I fully deployed (2019–2023), 32 companies; selectively active through follow-ons and portfolio advisory
- Portfolio raised $100m+ in follow-on across the book
- Sister to Vang Advisory (consultancy, 2017–): cross-fertilization is structural
- Followed in by: Y Combinator, Atomico, Anthemis, Nauta Capital, AXA, Hustle Fund, AngelList, Techstars

## Selected portfolio (named)

- RELAYTO/ (document experience) — 2018
- cheqd (decentralized identity) — 2018
- Cledara (SaaS procurement, Series A) — 2019
- Knack (workplace skills marketplace, Series B) — 2019
- VuPulse (video signal, $4m syndicate) — 2019
- Safara (hotel booking platform) — 2019
- MyTechTree (tech-skill ladders) — 2020
- Yummy (hyperlocal delivery) — 2020
- Koble AI (AI startup investment platform) — 2021
- Awabah (micro-pension, Nigeria) — 2021
- StartEngine (equity crowdfunding) — 2021
- Brydg (bridge lending) — 2023
- +20 others, undisclosed

_Round labels as of mid-2026._

## What we mean by "data-centric"

Data-centric ≠ uses data. Many companies use data. The ones we backed are those whose unit-economics improve with data — companies where the dataset itself is the moat. Cledara: SaaS procurement that becomes a procurement-data product. Brydg: bridge lending where the underwriting dataset compounds. Yummy: hyperlocal delivery where demand-data gets sharper per shopper. RELAYTO/: document engagement signals.

## Source URLs

- [Home](https://vang.capital/) — thesis, portfolio, follow-on funds
- [llms-full.txt](https://vang.capital/llms-full.txt) — full content as markdown
- [index.md](https://vang.capital/index.md) — markdown shadow of the homepage

## Contact

- Advisory / network: matt@vang.capital
- Sister sites: https://vangadvisory.com (consultancy), https://matteisn.com (founder bio)

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