Physical space.
Shared intelligence.
Cosmic is developing an RF Spatial World Model: a machine-readable representation of the physical world, built from radio-frequency observations.
A physical-world perception layer
for machines and software.
Places are shared. Their spatial understanding can be, too. The architecture brings observations from the environment into a model that multiple systems can use, each for a different purpose.
More than
a shape in space.
A useful model must describe what may be present, how it is changing, and how much the evidence supports that interpretation.
- Geometry
- Occupancy, surfaces and object extent describe the structure of a region.
- Motion
- Position and movement give the model a history, rather than a single frozen frame.
- Confidence
- Competing interpretations can remain open when the available evidence is ambiguous.
- Provenance
- Estimates retain a connection to the observations that support them.
What is uncertain
guides what comes next.
Uncertainty is part of the model. It can inform where the infrastructure gathers additional evidence, allowing subsequent observations to refine an estimate or challenge an earlier interpretation.
One perception layer.
Many ways to use it.
Potential applications span autonomous machines, robotics, industrial operations, security, analytics and digital twins. Each consumes the spatial information relevant to its own task.
From a model
to infrastructure.
Explore the network that brings environmental observations together.