I read your white paper, and even with a background in math and sportsbetting, I’m still trying to get my head around what the actual product is. I think it is clear that the enterprise has the right idea regarding AI and machine learning driving efficient market models is the right direction (FYI two companies are already doing this one is called stratagem and is run by ex Goldman Sachs analysts) but I think you have fundamentally missed two vital parts and possibly shows where you think the financial market should always be the model to replicate into sportsbetting. 1. This concept is far too complicated for the layman in the st. Betfair is the pinnacle of the advancement of sportsbetting market but it’s by no means the most popular format or platform because the back and lay is too complexed for most bettors. The majority of global bettors want to be told: here is the event, this is the market and here is your potential winnings. People just want to gamble as simply as possible. The second part is that the resulting of markets in sportsbetting is turning into a rightsholders monopoly, whereby agencies acting on behalf of the big leagues have created specific betting rights and copyrights. Recreating or copying this data to result markets (which is a fundamental aspect of any sportsbook functionality, especially for inplay / live markets) is illegal and these HUGE corporations are starting to target any companies doing this with legal challenges. You may say this is “decentralised” and role out the old “we use oracles” to result markets but then that opens up a huge integrity question and the system is open to abuse and manipulation. Your are clearly a smart team and the product has some great promise but it’s been executed naively.