Early-Adopter

OrangPinggiran24 | 

IoTeX is a platform that combines blockchain technology with the Internet of Things (IoT) and smart devices. Its primary business activities include providing fast and secure blockchain solutions, connecting real-world data to decentralized applications (Dapps), and developing blockchain-powered devices such as home security cameras and cellular-IoT prototyping platforms. IoTeX aims to power billions of devices and decentralized applications across the physical and digital world.

IoTeX

Modular ZkEVM Layer 2 that enables interoperability across various chains, including both EVM and non-EVM compatible networks. Prom submits its proof of transaction to the additional chains on top of the chosen Settlement chain, building the bridge between ecosystems.

Prom

Lista DAO is a liquidity protocol that introduces lisUSD, a "destablecoin" not pegged strictly to fiat but backed by decentralized assets like BNB and ETH. It builds on MakerDAO's model to offer a dual token system (lisUSD and LISTA) for borrowing and yield farming. Focused on decentralization and capital efficiency, Lista enables users to collateralize assets, farm rewards, and participate in governance. It's native to the BNB Chain with plans for multi-chain expansion.

Lista DAO

Xai is the first layer3 in the arbitrum ecosystem, designed to onboard traditional gamers to web3 gaming.
Xai empowers traditional gamers to participate in open trade, allowing them to trade in-game items in their favorite games without the necessity of interacting with crypto wallets. The Xai network is open and decentralized, enabling anyone to operate a node, receive network rewards, and participate in governance.

IOTA is a public distributed ledger that uses a directed acyclic graph (DAG) structure known as the Tangle to store transactions. Designed specifically for the Internet of Things (IoT), IOTA is a cryptocurrency that facilitates secure and feeless microtransactions between machines and devices.

IOTA

IO Net is developing a decentralized network for distributed computing, offering machine learning engineers cost-effective access to cloud clusters. It aggregates underutilized GPUs across various sources, enhancing the accessibility and affordability of high-performance computing. This approach addresses the shortages and high costs associated with traditional centralized cloud services, aiming to revolutionize AI and machine learning workloads.

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