Physical AI begins with perceiving the physical world.
Before acting on the real world, AI has to perceive it. Spatial intelligence is that perception layer, and it is what Dataoris builds.
AI is moving off the screen.
Physical AI is the name of the shift in which artificial intelligence systems begin to perceive, reason and act in the physical world: robots in factories and hospitals, autonomous vehicles, agents that carry out tasks in real environments. After a decade of AI over text, images and clicks, the next frontier is the world of atoms.
Almost every conversation about Physical AI looks at action: the arms, the wheels, the actuators. But no system acts well on what it cannot perceive. The less-discussed and scarcer half is perception: reliable, real-time data about presence, movement and context in the physical world.
Spatial intelligence is how AI perceives the real world.
Traditional analytics sees every click and stops at the store door. Spatial intelligence crosses that door: it turns presence, movement and dwell time into structured, comparable, actionable events. It is the bridge between physical behavior and the systems that decide, whether people, dashboards or AI models.
Dataoris, a Group Link One company, builds this layer in Brazil with a model that does not depend on GPS: a collaborative network in which every presence event is born from the meeting of two points, the app running the Group Link SDK and a physical anchor (the GL Station hardware, an integrated TV or screen, a POS) or another app running the SDK nearby. The handshake uses a proprietary, patented BLE protocol, works indoors and outdoors, and every event is indexed in H3 cells and delivered in real time via webhook.
The AI element: a network that calibrates itself.
With Dynamic POIs, points of interest emerge from real people behavior and the network continuously recalibrates: users with GPS active refine the map, and that intelligence then benefits everyone, including those who do not share location. The larger the base, the greater the coverage and accuracy. It is perception that improves with scale, the same property that defines good AI systems.
Physical AI, in practical terms.
What is Physical AI?
Physical AI is the generation of artificial intelligence systems that perceive, reason and act in the physical world: robots, autonomous factories, vehicles and agents that operate off-screen. To do so, these systems rely on real-world data, captured by sensors, in real time.
How are spatial intelligence and Physical AI related?
Spatial intelligence is the perception layer of Physical AI: it turns presence, movement and dwell time of people and devices into structured events. Without this layer, AI systems decide about the physical world blindly.
How does Dataoris connect to Physical AI?
Dataoris, a Group Link One company, operates a collaborative physical-world perception network in Brazil: physical anchors (the GL Station hardware, integrated TVs and screens, POS) and apps running the Group Link SDK generate presence events through proximity handshakes, indexed in H3 cells and delivered in real time via webhook. This is data ready to feed AI models, agents and automations.
Does Physical AI require robots?
No. Robots are the most visible face, but any system that decides and acts on the physical world, such as a CRM that fires an offer when a customer arrives at the store, already relies on the same foundation: reliable perception of presence and physical context.
Ready to give spatial intelligence to your app?
Talk to our team or start with the documentation. From integration to first insight, in a sprint.