Currently operating in stealth
Intelligence for the physical world.
Manifold Intelligence is building toward general-purpose physical intelligence, beginning with scalable human demonstrations and a disciplined path to robot execution.
Manifold Intelligence
The starting point
Existing industrial arms are capable. Making them useful across changing physical work is the hard part.
We are developing an arm-agnostic data-to-policy loop: collect human demonstrations, turn them into structured learning data, evaluate models honestly, and introduce physical execution only through measured safety gates.
01
Capture
Wearable, human-performed demonstrations designed for scalable collection.
02
Structure
Quality control, segmentation, trajectory and gripper-state processing, and versioned datasets.
03
Evaluate
Source-grouped offline diagnostics and robot-off inference on live camera observations.
04
Earn execution
Progress from evidence to supervised robot integration with explicit safety and task criteria.
A deliberate approach
We do not confuse validation loss, dry inference, or a polished narrative with physical task success. Reliable robot intelligence has to be earned in the real world.