Prediction market operator Polymarket is working with Palantir Technologies and TWG AI, the artificial intelligence division of TWG Global, to build a surveillance platform aimed at identifying suspicious trading and possible manipulation in sports prediction markets.
The project arrives as prediction markets face increasing scrutiny over whether traders might exploit insider knowledge when placing bets on real-world outcomes.
The monitoring system will integrate Palantir’s data infrastructure with TWG AI’s analytics capabilities to oversee trading activity across Polymarket’s platform. The companies said the system is designed to detect unusual trading behavior, screen market participants and produce compliance reports that could be shared with regulators or sports organizations.
Polymarket founder and CEO Shayne Coplan said the initiative is intended to bring more advanced monitoring tools to sports prediction markets and strengthen trust among leagues, teams and market participants.
The move reflects the broader challenges facing prediction markets as they evolve from niche crypto-focused experiments into platforms that increasingly influence public debate around elections, economic developments and sports.
Prediction markets allow users to trade contracts based on the outcomes of real-world events. Supporters argue that because traders risk capital on their predictions, these markets can efficiently aggregate information and often produce accurate forecasts.
However, the model also raises concerns.
Critics have pointed to the possibility that traders with early or privileged access to information could profit before the wider public becomes aware of key developments. In recent years, markets have appeared around sensitive issues such as government policy decisions, military operations, labor strikes and political pardons, fueling debate over whether some participants may be trading on nonpublic information.
Carlos Pereira, general partner at BITKRAFT Ventures — a firm managing more than $1 billion in investments spanning gaming, artificial intelligence and digital assets — said such concerns could become a major challenge for the sector if they are not addressed.
“There has been what appears to be insider trading,” Pereira said, noting that negative headlines could be damaging for an industry still trying to establish credibility.
The monitoring framework Polymarket is developing resembles the surveillance systems used by traditional financial exchanges. According to the company, it will track trading activity both before and after orders are executed, identify coordinated activity and flag users who may be restricted from participating.
For prediction market platforms, the issue is also tied to regulation. Insider trading rules for these markets remain unclear in many jurisdictions, particularly in the United States, where regulators are still debating how prediction markets should be categorized.
By strengthening oversight, the industry hopes to show it can manage risks internally.
Without such safeguards, Pereira warned, regulators may feel pressure to impose stricter rules.
“If markets don’t show they are trying to manage insider trading,” he said, “the odds of regulation becoming harsher and tapering growth would be much higher.”

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