Deep Dive
1. Purpose & Vision: From IoT to Physical AI
Founded in 2017, IoTeX's core mission is to build the "Internet of Trusted Things." Initially focused on connecting Internet of Things (IoT) devices with blockchain, it has strategically expanded. In July 2025, IoTeX announced a major pivot to become the "open ecosystem for Physical Intelligence" (IoTeX). This vision addresses a key gap in modern AI: the lack of access to trustworthy, real-time data from the physical world. IoTeX aims to serve as the foundational trust layer where machines, sensors, and people can contribute verified data to train and operate AI agents in sectors like mobility, energy, and healthcare.
2. Technology & Architecture
The platform's infrastructure is built for verifiable data. At its core is the IoTeX Layer 1 blockchain, which provides secure coordination. A critical component is the ioID protocol, a decentralized identity system that gives machines a unique, verifiable on-chain identity without exposing sensitive data. To make raw device data usable for AI, IoTeX developed Quicksilver, a framework that processes machine signals into structured information. This data feeds into "Realms" – domain-specific, evolving knowledge bases that provide context and situational awareness for AI models (Cointelegraph).
3. Token Utility & Governance
IOTX transitioned from an ERC-20 token to its blockchain's native coin in early 2020, marking the network's maturity (IoTeX Blog). The token has three primary utilities: governance (staking/voting for delegates), network fees (for transactions and smart contracts), and bonding (to operate Layer 2 components). The community actively participates in governance through IoTeX Improvement Proposals (IIPs), with over 200 million IOTX cast in votes in 2025 alone (IoTeX). Staking also secures the network, with over $75 million in IOTX staked as of Q2 2025.
Conclusion
IoTeX is fundamentally a blockchain-powered infrastructure project that verifies physical world data to enable a new era of trustworthy, decentralized AI. Its evolution from an IoT blockchain to a Physical AI ecosystem positions it at the intersection of several major technological trends. How effectively can it translate its vision of machine-verified data into widespread, practical adoption?