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Markets

@axisrobotics introduced $AXIS today, the token behind its robotics data engine on @base!

Axis Robotics Brings $AXIS to Base @axisrobotics has officially introduced $AXIS, the utility token powering its Physical AI data engine on @base. The token generation event marks a new chapt

AnonymousCryptoCompass newsroom
October 10, 2026
2 min read
NEWS
@axisrobotics introduced $AXIS today, the token behind its robotics data engine on @base!
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Axis Robotics Brings $AXIS to Base

@axisrobotics has officially introduced $AXIS, the utility token powering its Physical AI data engine on @base. The token generation event marks a new chapter for a project that has quietly built one of the more active decentralised applications on Coinbase's layer-2 network.

Axis Robotics describes itself as the leading Base-native Compounding Data Engine for Physical AI. Since launching on Base in March 2026, it has scaled to over 5.5 million trajectories from more than 200,000 contributors and ranked as a top-two DApp on Base.

The company crowdsources training data for robots through browser simulations and a mobile app, recording verified contributions on Base.Accepted trajectories receive unique Data IDs recorded on Base, establishing verifiable ownership and provenance, while contributors are rewarded through a Train-to-Earn model.

Community Sale and Funding

The community sale, hosted by Sonar by EchoDot, offered 10 million $AXIS tokens at $0.10 each, representing 1% of the total supply.The sale was open to qualified participants with a minimum investment of $100 and a maximum of $100,000 in USDC on Base, with the subscription period running from September 21 to 28.Tokens are set to unlock at 10% upon TGE, with the remainder released according to the project's published vesting schedule.

The project previously raised $12 million in a seed round led by Hack VC on July 27, with participation from Nomad Capital, Pi Network Ventures, 10K Ventures, and several angel investors.The investment is intended to expand Axis's end-to-end system for generating large volumes of diverse, structured robotic training data, addressing a gap that physical AI still faces: while language models draw on vast internet text, robotic systems require billions of high-quality human-physical interaction trajectories.

Following the seed round, the company outlined plans to deploy an egocentric data pipeline, expand simulation to more robot embodiments, and launch a large-scale post-training dataset based on human-gated DAgger by the end of the year.

Sources:Axis Robotics: Introducing the Axis Community Sale ProgramHackerNoon: Axis Robotics Secures $12 Million Seed FundingNFT Evening: Axis Robotics Raises $12M to Crowdsource Robot Training Data