Machine learning models identify and exploit mispriced odds across major sportsbooks. Signals are generated automatically and executed in real time.

Predictive models trained on regulatory filings and market data surface high-conviction equity opportunities, executed automatically at market open.

Continuously scans the entire Kalshi exchange for swarm-failure signatures — whale reactions, unrepresentative moves, information gaps, and liquidity arbitrage across every market category.

Scans physical-asset marketplaces — real estate, vinyl, and trading cards — for listings priced below their local market: the underpriced flips.