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White Swan Data

Data-driven betting models; liquidity provider

Overview

White Swan Data is a London-based firm that builds data-driven betting models to identify opportunities in iGaming and prediction markets. It provides mathematics and data-led services to price risk and develop betting strategies, and acts as a market maker and liquidity provider for prediction exchanges and related platforms. It quotes prices, absorbs event risk, and supplies liquidity to deepen markets, sometimes handling a large share of activity on secondary exchanges. Its team of mathematicians, data scientists, and software engineers builds the infrastructure to support gambling and trading services, aiming to deliver reliable liquidity and scalable trading systems for clients.

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About White Swan Data

Simplify's Rating
Why White Swan Data is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsQuantitative FinanceFinancial ServicesGaming

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

London, United Kingdom

Founded

2019

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Simplify's take

What believers are saying

  • White Swan Predicts launched a $4 million competition on October 19, 2026.
  • The company says it supplies up to 40% of activity on some secondary exchanges.
  • NFL prediction markets could generate $5 billion to $7 billion weekly liability, expanding demand fast.

What critics are saying

  • Kalshi, Susquehanna, Jump Trading, Mojo, and DL Trading compress White Swan's margins.
  • Regulators can attack exchange market-making economics as sportsbook-like activity on prediction platforms.
  • If performance slips, White Swan becomes a replaceable liquidity provider with no consumer brand.

What makes White Swan Data unique

  • White Swan runs outsourced sportsbook-risk and liquidity for prediction exchanges, not retail betting.
  • Bernard Marantelli built parlay pricing and risk engines before US prediction markets surged in 2025.
  • White Swan now operates live on seven RFQ platforms, giving it distribution depth.

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