Axis Robotics brings $AXIS to the Base Network
Axis Robotics has officially launched $AXIS, a utility token for its Physical Artificial Intelligence (Physical AI) data engine running on the Base Network. The token generation event marks a new chapter in the project, which has quietly built one of the most active decentralized applications (DApps) on Coinbase's second-layer network.
Axis Robotics positions itself as the leading Base native composite data engine, focusing on the physical AI field. Since its launch on Base in March 2026, its scale has expanded to more than 5.5 million tracks, from more than 200,000 contributors, and ranks among the top two DApps on the Base platform.
Crowdsourcing Training Data and Incentive Mechanisms
The company collects training data for robots crowdsourcing through browser simulators and mobile applications, and records verified contributions on the Base chain. Accepted traces receive a unique "data ID" and are recorded on the Base chain, establishing verifiable ownership and traceability information. At the same time, contributors can receive rewards through the "Train-to-Earn" model.
Community Sales and Financing
A community sales event hosted by Sonar by EchoDot sold 10 million $AXIS tokens at US$0.10 each, accounting for 1% of the total supply. The sale is open to qualified participants, with a minimum investment of US$100 and a maximum of US$100,000 (using USDC on the Base Network), and a subscription period is September 21 to 28.
代币将在代币生成事件(TGE)时解锁 10%,其余部分将根据项目公布的归属时间表逐步释放。此前,该项目于 7 月 27 日完成了由 Hack VC 领投的种子轮融资,金额为 1200 万美元,参与方包括 Nomad Capital、Pi Network Ventures、10K Ventures 以及多位天使投资人。
未来展望
这笔资金旨在扩大 Axis 端到端系统的能力,以生成大量多样化、结构化的机器人训练数据,填补物理 AI 领域的一个空白:虽然语言模型依赖于海量的互联网文本,但机器人系统则需要数十亿条高质量的人类物理交互轨迹。
在完成种子轮融资后,公司计划在今年年底前部署自我中心式数据管道,将模拟器扩展到更多的机器人形态,并基于人类门控的 DAgger 算法发布大规模后训练数据集。

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