Trendline Labs wants to close the information gap between casual and pro prediction market traders

Gregory Tolmochow graduated from Emory University last year with a degree in economics and computer science. Before he finished, he'd already co-founded a sports analytics company called The Betting Insider—aggregating unconventional stats like referee influence on NBA games, building it to around 250K followers, and turning it into what he describes as one of the go-to sports picking platforms in the space. He left in November, and a month later, he had a working MVP.

Tolmochow’s observation was that the same analytical infrastructure that existed for sports (ESPN, Action Network, a world of queryable data) didn't exist for prediction markets. Kalshi, Polymarket, Limitless, and now DraftKings and FanDuel were all spinning up their own markets, each with its own liquidity pool and its own pricing—but no one was building the intelligence on top.

That's what Trendline Labs is trying to be. Tolmochow describes it as a unified terminal for prediction markets—a platform where users can research, model, and trade across exchanges from a single interface. The product routes to the best available price across venues including Kalshi, Polymarket, Limitless, and PredictFun. But the more distinctive piece is Optimus, an AI model that gives context on why a market is priced the way it is—drawing on news, tweets, and Reddit threads to surface its own implied probability estimate. Users can also backtest models against historical data—something Tolmochow says Trendline has been building since day one, because no one else was storing it.