Swish Analytics

Market position

Swish describes itself as a global leader in player props pricing and is characterized as a key U.S. sports analytics player known for odds origination and risk management. Named comparables and competitors include Sportradar, WSC Sports, Zebra Technologies, Hudl, Draft, Tally: Sports Predictions and Sharp App, while OddsJam and OpticOdds are named as adversaries in litigation over odds data.

Swish positions oddsmaking as a problem of engineering, mathematics and sports betting expertise rather than human intuition, and markets itself as a leader in player props pricing. Its stated points of difference are automation of odds origination, pricing accuracy from a continuously evolving odds engine, and scalability through full bet-lifecycle management with highly customizable bet combinations, alongside forward-looking predictive models rather than backward-looking historical data.

Technology

A machine-learning predictive engine generates projections, lines and prices for every statistic, player and game, covering pre-game and in-play markets continuously. Products include player props, match and team markets, bet builder/same-game parlays, in-play props, fast and micro markets, and pre-built parlays, with automated odds origination and full bet-lifecycle management. Engineering, data science and trading analytics roles span NFL, tennis and soccer modeling as well as risk modeling and machine learning infrastructure.

Go-to-market

The company sells business-to-business sportsbook and fantasy solutions directly to operators and platform providers, inviting prospective clients to contact it about powering their sportsbook or fantasy offering, and distributes its pricing through operator platforms such as Altenar. Earlier consumer adoption was driven by self-serve subscriptions with a seven-day free trial.

Sportsbook operators and fantasy sports platforms, including established U.S. operators and startups launching new betting applications; earlier products targeted sports bettors and daily fantasy players. Notable clients cited include MLB and the Sacramento Kings.

Geography

Headquartered in San Francisco, California, with employees across North America and Europe. Remote job openings are listed for San Francisco, Ireland, Malta, the Philippines, Spain and the United Kingdom.

History

The company's first product, BetBuckets, was built in 2013 and delivered NBA predictions from proprietary data and machine-learning models; an automated prediction system for U.S. sports was established the same year. The business was formally founded in March 2014 and raised $300,000 from angel investors that month, followed by a $20,000 accelerator financing in August 2015, a $1.8m seed round in May 2016, an early-stage (Series A) round in July 2018 and a later-stage (Series B) round in May 2019 that together totaled $6.9m, and a $15.6m Series C in November 2021 — approximately $29.4m across six rounds. Coverage from 2014 onward was initially centered on the NBA before expanding to the NFL, MLB and NHL. The company became an authorized MLB data distributor in 2019, and by 2025 was supporting operator platforms such as Altenar with fast markets and micro-betting for the MLB season. In late 2025 it filed suit in the Superior Court of California against OddsJam and OpticOdds over alleged misappropriation of its odds data.

Risks & controversies

Swish alleges in a California Superior Court complaint that OddsJam and OpticOdds scraped its proprietary odds from its sportsbook clients' websites and republished and sold that information, claiming misappropriation and unfair competition and estimating damages of at least $100m. Public sources also report inconsistent headcount figures, ranging from an 11-50 directory band to 143 employees to 200+ self-reported staff, and differing founding dates of 2013 and 2014.