Polymarket has teamed up with Palantir and TWG AI to build a monitoring system aimed at protecting sports prediction markets, part of a broader effort at Prediction markets integrity monitoring. The system is intended to detect suspicious trading and manipulation as Polymarket seeks to address insider-trading concerns that have drawn attention and prompted emerging regulatory scrutiny. Founders Fund led a $45 million Series B funding round for Polymarket in 2024.
The monitoring system developed by Polymarket with Palantir and TWG AI is built on Palantir’s data infrastructure combined with TWG AI’s analytics to monitor trading activity across Polymarket markets. It is designed to detect unusual trading patterns, flag coordinated activity, and track orders before and after execution to identify potential manipulation. The system will screen participants to determine whether they are prohibited from participating and generate compliance reports that could be shared with regulators or sports leagues. The surveillance design resembles infrastructure used by traditional financial exchanges.
Central to the system is the Vergence AI engine, which the partners say will identify potential market manipulation and insider trading nearly instantaneously and support transaction monitoring. The platform’s outputs include compliance reports and alerts that can support enforcement and regulatory compliance. The system’s participant screening and analytics are intended to flag traders who may be restricted from participating and to detect patterns that suggest coordinated or insider-driven activity. Formal insider-trading rules for prediction markets remain unclear in many jurisdictions, and the monitoring aims to provide data that could inform regulatory responses.
Insider trading rules for prediction markets remain unclear in many jurisdictions, particularly in the U.S., and regulators may intervene more aggressively absent safeguards. Lawmakers are considering tougher rules through the Public Integrity in Financial Prediction Markets Act, led by Rep. Ritchie Torres. High-profile incidents have drawn scrutiny, including charges against two Israelis who were accused of using classified information to place bets concerning Nicolás Maduro.
Industry actors have deployed self-policing technologies in response, with Kalshi’s CEO Tarek Mansour and the Poirot surveillance system cited as examples of efforts to police insider trading and market manipulation.
Prediction markets face insider trading concerns and emerging regulatory scrutiny that are reflected in both legislative proposals and platform actions. Platforms have implemented monitoring systems designed to detect suspicious trading patterns, screen participants to determine whether they are restricted from participating, and generate compliance reports that could be shared with regulators or sports leagues. The documented responses include both proposed legislation and industry surveillance tools intended to address reported incidents and unclear enforcement frameworks.
Prediction markets integrity monitoring can help leagues maintain confidence in game integrity and support broader confidence in sports markets by collecting and organizing information about trading activity and participant status. This monitoring can also support enforcement and regulatory compliance by producing records and reports that platforms and oversight bodies can use when evaluating market behavior and determining responses as appropriate.
