Rain Commits $100 Million in Liquidity Ahead of V2 Launch and World Cup Expansion

May 26, 2026
Rain has committed $100 million in liquidity to support the launch of its V2 decentralized prediction markets protocol ahead of the FIFA World Cup, positioning the company among the top three global prediction markets by total value locked.

Rain Prediction Markets has committed $100 million in liquidity to support the upcoming launch of its V2 protocol ahead of the FIFA World Cup, announced in a press release. The allocation consists of $50 million in USDT and $50 million in RAIN tokens and establishes Rain among the top three prediction markets globally by total value locked, alongside Polymarket and Kalshi.

The V2 upgrade introduces major infrastructure improvements designed to enhance scalability, liquidity efficiency, and trading performance. A new on-chain order book will support both individual traders and professional market makers, enabling deeper liquidity and larger trade execution across the platform.

Rain’s protocol uses AI systems to automate market creation, categorization, moderation, and resolution, supporting multilingual and global forecasting markets. Built on Arbitrum, the platform enables account abstraction, cross-chain deposits, and gas abstraction for both crypto-native and mainstream users.

The liquidity commitment is planned to be completed by the start of the World Cup, a period expected to drive significant participation in prediction markets.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Enterprise AI AI Funding News AI Brief AI Brief (X)
Free newsletter

AI Funding Brief

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.