The engine behind every body that learns to move.
Cortix AI builds multi-sensor embodied data infrastructure and trains force–intent world models — machines that understand and predict physical interaction, reshaping how embodied agents are trained.
One signal, many senses.
Physical intelligence does not live in a single stream. Cortix ingests biosignals from the operator and proprioceptive data from the machine — aligning them into a coherent representation of force and intent.
From raw sensor to world model — in a single pipeline.
Wearable and on-robot sensors stream synchronized multimodal signal at the source.
Time-aligned, calibrated, cross-modal tensors — ready for training, not cleaning.
Force–intent world models that understand and predict physical interaction.
Versioned datasets and streaming APIs for embodied foundation models.
Force-Intent Model
A single latent that fuses what the body feels, what the operator intends, and what the world will do next. From raw signal to predictive control — in one representation.
ẑt+1 = T(zt, at)
What the body exerts and receives — measured, not guessed.
Where attention, muscle, and gaze converge before motion begins.
A rollable simulator of the next moment — physically consistent.
Language models scale. Physical ones don't — yet.
The bottleneck is not compute. It is data — the dense, aligned, multimodal kind that captures how a body exerts force and forms intent in the world.
Cortix is building the engine. One modality at a time, every modality at once.