Jiuzi New Energy plans to invest up to 30 million USD in AetheriumX to lay out Web3 infrastructure
According to PR Newswire, the Nasdaq-listed Chinese company Jiuzi New Energy (stock code: JZXN) announced the signing of a strategic cooperation memorandum (MOU) with the blockchain infrastructure project AetheriumX, planning to invest up to $30 million in its core product "Distributed Capital Intelligent Protocol" (DCIP). The DCIP protocol is positioned in the fields of defi-119">decentralized finance (DeFi), GameFi, and digital asset strategy execution, aiming to provide on-chain interaction and asset management infrastructure for the global Web3 ecosystem.
According to the memorandum, the cooperation between the two parties will focus on three dimensions: on the technical level, Jiuzi New Energy plans to deeply integrate the DCIP technology stack, embedding on-chain automated strategy execution capabilities into its own business scenarios; on the business level, both parties will jointly develop products and services related to DeFi, GameFi, and digital asset strategy execution; on the ecological level, as the DCIP protocol ecosystem expands, Jiuzi New Energy will participate in the revenue sharing of the protocol and its surrounding ecosystem.
You may also like

Who is the true winner of the "Tokenization" narrative?

Moss: The Era of AI-Traded by Anyone | Project Introduction

Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update

How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.

Old Indicator Fails, Three Major New Signals Emerge: BTC True Bottom May Still Be Below $60K

Meeting OpenClaw Founder at a Hackathon: What Else Can Lobsters Do?

Huang Renxun's Latest Podcast Transcript: NVIDIA's Future, Embodied Intelligence and Agent Development, Soaring Demand for Inferencing, and AI's PR Crisis
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.

AI Starts to Devour the Manufacturing Industry | Rewire News Morning Edition

When Scaling Meets Speed, Ethereum Foundation Introduces "Hardness" to Safeguard the Base Layer

Google, Circle, Stripe Flock Together to Let AI Spend Money: Payment Giants' Joys and Worries in 2026 Q1

$100 Billion Factory Purchase: Bezos and Middle Eastern Capital Shift AI Money from Cloud to Shop Floor

Xiaomi and MiniMax both unleash their ultimate moves, signaling the start of the Agent Pricing War.

Predicting markets has taken the spotlight, but the Perp DEX has been quietly waging war on traditional exchanges.

Is the Market Slump Still Making Millions a Day? Is pump.fun's Revenue Real?

Understanding x402 and MPP in One Article: The Two Paths of Agent Payments

Quick Look at the Latest 18 Graduation Projects from Alliance: Who's the Next Pump.fun?

It's not just the prediction market that profits from the Iraq War
Who is the true winner of the "Tokenization" narrative?
Moss: The Era of AI-Traded by Anyone | Project Introduction
Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.