The spatial foundation
for Physical AI

We not only crafted the layer. We built our own agent on top of it.

The DeepHub Agent is our own agent, built entirely on the same layer. Point it at your DeepHub, ask it questions the way you would ask a colleague who never leaves the floor, and let it make the changes that follow from the answer.

Turns real-time location data into plain-language answers.
Correlates activity across functional areas, assets and time, not one feed at a time.
Answers questions that would otherwise require searching several views.
Writes back to DeepHub®, for example creating a fence or registering a trackable, so the answer can be acted on in the same step.
Works across warehouses, factories, supply chains and production lines through one consistent interface.
Graphic of Hubman and a DeepHub Agent building together.
Safety and compliance agent, continuous monitoring of restricted-area entry, proximity events relevant to personal protective equipment, and compliance reporting.
Forklift agent, utilization, routing efficiency and near-miss detection for powered industrial vehicles.
Material flow agent, end-to-end tracking of material movement and bottleneck detection across a facility.
Safety watchdog agent, always-on anomaly and incident alerting across functional areas and assets.

Let’s chat and start building together

Build with DeepHub® Agents
DeepHub® dashboard showcasing real-time tracking and location data management