Axis Robotics

Robots do not learn like language models. They cannot just scrape the internet and absorb static knowledge. They need movement, feedback, corrections, and repeated task experience 🤖

Axis Robotics is a Physical AI data platform where users help create robotics training data through browser-based simulation tasks. Contributors guide robots through actions, object interactions, and task scenarios. Each valid trajectory can become useful data for robotics models.

This matters because robotics data is difficult and expensive to collect in the real world. Axis uses simulation, human input, and post-training workflows to collect trajectories and corrections at scale. The goal is to help robotics models improve across different tasks, environments, and skills.

The company is based in Berkeley, California, United States, and has raised a $12M Seed round led by Hack VC, with participation from Nomad Capital, PiCoreTeam Ventures, 10K Ventures, and angel investors. The funding supports its work on a data engine for Physical AI, combining simulation, real-world capture, and human-in-the-loop robotics training.

🪂 Axis Robotics Airdrop: Earn Points by Completing Robotics Tasks

Axis has launched its Point System for contributors.

Users can now earn Axis Points by completing valid robotics simulation tasks through the Axis Robotics Hub. Points track real contribution activity, including task quality, difficulty, diversity, and direct referral output.

The airdrop angle is clear: Axis says Points are planned as one input in a future Community Contributor Airdrop. If you want to qualify for that future airdrop, this is the activity to start now.

The Hub also includes badges and referrals. Badges mark extra contributor milestones, while referrals can add to your Points when direct invitees complete valid work.

Points are distributed in two-week epochs, and accepted contribution data is recorded on Base. Final eligibility, allocation, claim rules, and token details have not been published yet.