A Robot Brain That Reasonsabout Consequences Before Acting

Aether builds a foundation model for robots to plan, adapt.
and act reliably in the real world

The Brain Behind Tomorrow's Robots

Our Story

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Robotics has made huge progress in perception and hardware. But despite decades of effort, robots still fail in open, real-world environments.

The problem isn't better cameras or bigger policies. It's that robots don't understand consequences. They act — but they don't reason about what will happen next.

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Story Image 1

As robots move from demos to deployment, decision-making -- not perception -- has become the bottleneck. Scaling robotics now means scaling decisions, not scripts.

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Robotics has made huge progress in perception and hardware. But despite decades of effort, robots still fail in open, real-world environments.

Case Image 1

The problem isn't better cameras or bigger policies. It's that robots don't understand consequences. They act — but they don't reason about what will happen next.

Case Image 1

As robots move from demos to deployment, decision-making -- not perception -- has become the bottleneck. Scaling robotics now means scaling decisions, not scripts.

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That’s why we started Aether. To build a robot brain that can reason before action — and generalize across robots, tasks, and environments

Our Solutions

Aether gives robots the ability to imagine, judge, and decide —before they act in the real world.
Instead of reacting to observations, robots reason about consequences and choose actions deliberately

Robots don’t just observe the world — they change it. Our world model learns how actions lead to outcomes, enabling robots to understand objects, physics, and consequences.This allows robots to avoid unsafe or ineffective actions before they ever happen.

Causal World Modeling

Imagination-Based Planning

Robots simulate possible actions in imagination before execution. Unsafe or infeasible plans are filtered out without costly real-world trial and error.Planning happens before motion, not after failure.
A single robot brain transfers skills across different robots, tasks, and environments.No task-specific policies. No handcrafted workflows

One Brain, Many Robots

Native Support for Long-Horizon Tasks

The robot brain reasons over long time horizons, enabling multi-step workflows instead of isolated actions.From single commands to end-to-end task execution.

Aether New

One Model, Any Scenario: End-to-end Locomotion from Vision

Arrow

We’ve seen humanoid robots perform impressive acrobatics, like cartwheels, backflips, and even complex dance routines, for decades. Yet, hardly any can reliably climb any type of staircase or difficul...

Building the general-purpose robotic brain

Arrow

We’ve seen humanoid robots perform impressive acrobatics, like cartwheels, backflips, and even complex dance routines, for decades. Yet, hardly any can reliably climb any type of staircase or difficul...

One Model, Any Scenario: End-to-end Locomotion from Vision

Arrow

We’ve seen humanoid robots perform impressive acrobatics, like cartwheels, backflips, and even complex dance routines, for decades. Yet, hardly any can reliably climb any type of staircase or difficul...

Building the general-purpose robotic brain

Arrow

We’ve seen humanoid robots perform impressive acrobatics, like cartwheels, backflips, and even complex dance routines, for decades. Yet, hardly any can reliably climb any type of staircase or difficul...

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