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Polymarket partners with Peter Thiel’s Palantir to build AI-powered oversight tools

Crypto
By admin
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Polymarket, the world’s premier prediction market, has partnered with Palantir Technologies and TWG AI to build an AI-powered, fully monitored, and compliant system that ensures sports prediction markets are safe, fair, and transparent for all participants.

Polymarket CEO Shayne Coplan expects that the collaboration will help fans and teams engage confidently with sports markets. The partnership leverages expertise in AI, data integration, and security to promote transparency, trust, and reliability, as noted in a Tuesday press release.

Vergence AI, developed last year with Palantir and TWG AI, will be the core infrastructure. It combines advanced data analytics, AI, and financial monitoring capabilities to track trading activity in real time and identify anomalies.

The engine will strengthen Polymarket’s integrity layer through end-to-end trade monitoring, near real-time anomaly detection, restricted participant screening, operations center enablement, and automated compliance reporting, the team stated.

Polymarket will deploy its AI-powered surveillance system into the US-regulated trading venue it is developing, Bloomberg reported, citing people with knowledge of the plan. This step demonstrates its active participation in the regulated US market alongside competitors like Kalshi, under the oversight of the Commodity Futures Trading Commission.

The company has been working with IC360, a compliance firm specializing in detecting irregular betting patterns in sports and gaming operations. The new partnership represents a major upgrade in monitoring capabilities.

“Our partnership sets a new standard for prediction markets,” said Dr. Alex Karp, co-founder and CEO of Palantir Technologies. “Together, we are strengthening the security and integrity of the platform — ensuring that as the sports prediction market continues to expand, Polymarket and TWG AI are positioned to lead with the confidence and competitiveness needed to scale.”

Disclosure: This article was edited by Vivian Nguyen. For more information on how we create and review content, see our Editorial Policy.



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