01 // arrival

One robot learns. Every robot inherits.

Nexus is the open, model-agnostic skill layer for robots. A neutral protocol where a learned skill routes onto any body, any brand, instead of every fleet relearning the same thing from zero.

on top of the open models. launching on virtuals (base).
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02 // the gap

Robot skills are trapped in silos.

The bottleneck to robot intelligence is no longer hardware or compute. It is data, locked in proprietary silos. LLMs trained on roughly 100,000 human-years of text. Robots have nowhere near the equivalent action data, and physical tasks need more data per skill than language.

The unlock is proven: DeepMind's Gemini Robotics 1.5 showed a skill trained on one arm just works on another body, no per-robot specialization.

But the response is walled gardens. Unitree's UniStore and OpenMind's robot app store both tie skills to their own hardware. Every fleet relearning to open a door from zero is a coordination failure paid for once per robot.

03 // what nexus is

The neutral layer that connects them all.

Portable skill registry
Publish and consume learned skills, policies, and models across embodiments, not locked to one OS or maker.
Cross-embodiment routing
Translation across shared observation and action spaces, so a skill from one body maps onto another.
Tokenized incentive layer
Rewards for contributing and consuming skills. The flywheel fuel the open-model wave lacks.
Neutral protocol
Not a robot, not a model, not an OS. The layer that connects all of them.
04 // the lane

The whitespace on top of the open models.

The open-model wave is real: π0 is open-sourced, NVIDIA ships GR00T, Open X-Embodiment spans over a million trajectories, LeRobot hit 58,000 datasets.

But LeRobot owns open data with no incentive layer, and the crypto players sit in adjacent lanes (data, machine-economy, execution), none a neutral portable-skill registry. Nexus is the tokenized, model-agnostic skill-routing layer on top of the open models, monetizing the transfer they already prove (cross-embodiment training shows 50 to 200% success gains). That whitespace is ours.

π0GR00TOpen X-EmbodimentLeRobot
05 // $NEXUS

Earn every time your skill is inherited.

Nexus is a flywheel. Contribute a skill once, and earn each time another robot inherits it. $NEXUS is what turns the flywheel.

Contribute
Publish a learned skill or policy to the open registry. Earn $NEXUS each time another body inherits it, a royalty on every reuse.
Route
Pay $NEXUS to route a skill onto your robot, across any brand or body.
Validate
Stake $NEXUS to attest that a skill actually transfers to a target body. Honest validation earns, bad-faith is slashed.
Govern
Holders steer the routing standards and how the registry works.
launching on virtuals (base)Follow for launch
06 // the network

The network comes online.

Not a flat timeline. The ring of connected bodies grows. More embodiments link in over time.

Now
Brand and foundation public. First community. The open-protocol thesis published.
Launch
$NEXUS on Virtuals (Base). Docs live.
First skills
The portable skill registry live. First skills published and consumed. Cross-embodiment routing across shared action spaces.
More bodies
Routing across more embodiments and brands. The inheritance flywheel turning. Contributors earning on reuse.
The open standard
The neutral, model-agnostic routing layer adopted on top of the open models. The registry as shared infrastructure no vendor owns.
07 // coda

An open protocol, not a walled garden.

One ring. Many bodies. Every skill inherited.

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$NEXUS is a utility token for the Nexus network. Nothing here is financial advice.