JAMBOS Picks operates a machine learning–based sports betting service that issues data-driven bet recommendations for NFL, NCAA football, NCAA men’s basketball, and MLB. The company recruited a data analytics team with sports and finance experience and uses models built from public and commercial (including exclusive) data sets—incorporating team, player, weather, home/away, and matchup factors. JAMBOS exited beta and is entering the market after raising capital to scale the product and operations. The company guarantees profitability for subscribers who follow its system, offering subscription refunds and additional money if picks are not profitable. Pricing examples include a full 17-week plan at $3,000 and a described $10,000 refund scenario tied to following specified bet sizes. Operating results reported for an eight-month period beginning December 2018 show 2,522 recommendations and +234.95 units (about $70,000 profit on the method’s recommended $300 bets), and a verified 58.3% success rate on more than 1,000 NCAA men’s basketball picks.

Total raised

$23M

Funding rounds

1

Latest round

Equity

Latest activity

Aug 2019