YZi Labs Increases Investment in Predict.fun Following $1.8 Billion Trading Surge

Summary:
YZi Labs has announced a significant follow-up investment in the prediction market platform Predict.fun after its success in handling over $1.8 billion in trading volume. This move indicates a rise in institutional interest in blockchain-based prediction markets.

Key Takeaways:

YZi Labs has invested more in Predict.fun following impressive trading figures.
Predict.fun has processed over 4 million orders and $1.8 billion in trading volume since its launch.
The platform allows users to trade using USDT on various outcomes while earning DeFi yield.
Susquehanna Crypto's involvement enhances Predict.fun's credibility and institutional potential.
YZi Labs aims to integrate Web3 and AI technologies in its investment strategies.

“YZi Labs doubles down on BNB Chain prediction market Predict.fun.

YZi Labs Boosts Investment in Prediction Market Predict.fun

YZi Labs has made a strategic follow-up investment in the prediction market platform Predict.fun after the conclusion of the second season of its EASY Residency program. This update highlights the involvement of Susquehanna Crypto, the digital asset trading division of the prominent quantitative trading firm Susquehanna International Group, signaling an increasing interest from institutional investors in on-chain prediction markets.

The Predict.fun team successfully completed the EASY Residency Season 2, which was unveiled during the Binance Blockchain Week. Here, the incubator showcased the platform's unique combination of DeFi yield, self-custody, and gasless user experience, establishing the foundation for what it calls "mainstream prediction markets." YZi Labs explains that Predict.fun allows for a new approach to event trading, where user collateral is allocated into DeFi strategies while trades are open. This model transforms predictions into yield-generating opportunities instead of mere idle bets.

Since its launch in December 2025, Predict.fun has achieved remarkable success, having processed over 4 million orders and accumulated a cumulative trading volume exceeding $1.8 billion, as reported by YZi Labs and additional third-party sources. Trust Wallet, which recently integrated the platform, noted that Predict.fun has facilitated more than $1.7 billion in volume across approximately 125,000 users and 3.7 million transactions, demonstrating rapid adoption on the BNB Chain.

Designed as a self-custodial application on BNB Chain, Predict.fun enables users to speculate on various outcomes, including cryptocurrency prices, sports events, political developments, and macroeconomic occurrences, using USDT. Meanwhile, users earn DeFi yield on their collateral in the background. The platform employs a blend of AI-assisted proposals, human validation against reliable data sources, and UMA’s Optimistic Oracle for market resolutions, a design that YZi Labs claims effectively balances automation with accountability for significant outcomes.

The participation of Susquehanna Crypto aligns Predict.fun with one of the most significant options and ETF market makers globally, bolstering its credibility as prediction protocols seek to establish themselves as institutional-grade trading venues. Current data from YZi Labs indicates that the EASY Residency network now supports various prediction and trading initiatives, with Predict.fun recognized as the "dominant prediction market" on BNB Chain and a vital recipient of a portion of the firm’s $1 billion Builder Fund aimed at advancing the ecosystem.

For YZi Labs, the increased investment in Predict.fun is part of a broader strategy targeting investments that merge Web3 and AI technologies. These on-chain markets are seen as both appealing to retail users and serving as data feeds for more complex models. If the protocol can maintain billions in volume while ensuring low slippage and reliable resolutions, this latest funding round positions it favorably against centralized prediction markets and emerging competitors across other Layer 1 and Layer 2 blockchain networks.