Trevor Xu is a technology founder known for creating Tagger, a project focused on decentralized data contribution and coordination for artificial intelligence (AI) systems. His work centers on developing blockchain-based solutions to address inefficiencies and inequities in traditional corporate structures and data-collection pipelines for AI development. ^[5]​

Education

Trevor Xu attended the University of Melbourne, where he graduated in 2024 with a degree in Biomedical Engineering. His academic background provided a foundation in technical and analytical disciplines that he would later apply to workflow design and systems engineering in the technology sector. ^[2]​

Career

Xu's career began in 2020 at MarsLadder, where he worked until 2022 in a product operations and automation tool development role. During this time, he also taught as a lecturer in senior mathematics. Concurrently, he contributed to exam development for the First Education Group in Melbourne and co-founded the Perfect Ballers Association, where he supported operational activities.

In 2021, Xu transitioned into the Web3 space by cofounding Singularity Labs, a venture where he focused on project operations until 2023. His experience in this emerging field was complemented by a role from 2022 to 2023 as a CEO assistant at FEDIMOSS in Beijing. There, he was responsible for workflow design and technology analysis, further developing his expertise in optimizing operational processes.

His focus shifted specifically to decentralized AI in 2023 when he co-founded PrismX in Hong Kong, an organization dedicated to building decentralized AI infrastructure. In early 2024, he served briefly as an advisor to Surf Protocol, guiding its derivatives platform. Shortly thereafter, in early 2024, Xu founded Tagger, his primary venture, where he leads the development of decentralized solutions for data processing, authentication, and AI-oriented data markets. ^[3]​

Tagger

​Tagger was founded by Xu in early 2024 as a response to significant inefficiencies within the AI development lifecycle. The project's premise is that a majority of effort goes into data collection, cleaning, and labeling rather than model innovation. Instead of relying on costly, slow, and limited-benefit centralized pipelines, Tagger positions data preparation as an open, blockchain-based process. Participants contribute data work permissionlessly, retain ownership through encrypted storage and on-chain authorization, and receive compensation automatically once tasks are validated. The model is designed to offer transparency, accountability, and security while creating a more equitable distribution of value.

To support this structure, Tagger promotes a decentralized coordination system called #DeCorp, which replaces corporate hierarchies with protocol-driven task management, peer and AI-assisted evaluation, and smart contract-based payments. Contributors self-organize based on performance metrics rather than traditional credentials, allowing participation across geographies while reducing administrative overhead. This approach seeks to scale collaborative labor globally, shift economic benefits toward contributors, and reduce reliance on centralized decision-making systems. ^{[4] [6]}​