Seven years ago I was approached by my friend Tom who had an idea. We got to brainstorming and pulled in Toms friend Lucas. The three of us founded Sweet. It was the typical card table in the attic with whiteboards story. A lot of work, a lot of fun, a lot of late nights prototyping and sleeping in the loft. Taking ideas to market, refining and doing it again. We assembled a great group of people and iterated fast. So what is Sweet?
Sweet partners with top sports organizations and brands worldwide to maximize revenue, fan engagement, and brand partnerships with our frictionless web3 platform, vibrant marketplace, and user-friendly blockchain wallet. Sweet's platform has helped drive revenue, increase consumer engagement, and win awards for clients such as Cleveland Cavaliers (NBA), New York Knicks (NBA), Milwaukee Bucks (NBA), Chicago Blackhawks (NHL), NY Islanders (NHL), Red Bull Racing (F1), McLaren Racing (F1), Macy's, KIA,
Check out the Official Sweet Blog
RosterChat AI
Bringing AI chat to sports data
RosterChat AI chatbot revolutionizes sports engagement by providing real-time updates, personalized information, and interactive queryable statistics. Built upon Roster Management Systems custom NFL database, RosterChat answers queries, on team, player, season and game stats as well as complex contracts salary information. RosterChat transforms sports data analytics allowing the user to cut to the chase by asking a simple question and receiving a simple answer without digging through tables of confusing statistical information.
Founded in 2008, Roster Management System is a sports data analytics B2B platform with proprietary API. We have created a unique dataset covering not only team and player status, but salary and complex contract information including cap space, dead money, performance bonuses. Roster Management System is used by the top NFL reporters to quickly find detailed information on team spending, performance and ranking. The RMS platform allows users to try out cap hit scenarios for potential trades and draft picks by comparing player bio and combine statistics with previous NFL players.