Spatial intelligence for the physical world
AI agents that operate in the physical world.
WorldAgents trains an AI agent on your procedures and your place, validates it in a 3D simulation of your actual site, and deploys it to AI glasses and phones. It recognizes your parts, your galleries, your shelves, and guides people through them in the moment.
The product
Your best trainer, guide, and inspector. On every shift, at once.
We connect an AI agent to your knowledge base, SOPs, and product data, and train it into an expert on your specific work. Not “museums” or “warehouses” in general. Your collection, your line, your procedures. On the floor it sees what the person sees, guides the next step, and catches mistakes the moment they happen.
Warehouse & factory
Guidance, inspection, and training where the work happens.
Airport & venue
Live help that understands the place, the rules, and what changed.
Museum & cultural space
An expert guide that knows every room, object, and story.
How it works
From a blank workspace to a field-tested agent, in one continuous pass.
Product walkthrough
Build the agent.
Then prove it on the floor.
Create the organization, connect approved knowledge, add a maintenance action, and test the finished agent in a warehouse scan.
Organization Agent builder Knowledge Actions Simulation
One continuous system
From knowledge to action.
Without the handoffs.
Build, ground, validate, and deploy in the same loop—so the agent that ships is the agent you tested.
01
Connect
Give the agent your world.
Knowledge, APIs, media, procedures, and the rules that make your work yours. 02
Ground
Make context spatial.
Places, objects, people, and live state become context the agent can reason about. 03
Prove
Test before reality.
Run the hard scenarios in simulation and see exactly how the agent behaves. 04
Deploy
Meet people where they are.
One agent moves across glasses, phones, the web, and whatever comes next.The WorldAgents system
One living system.
Not a pile of AI demos.
Knowledge, place, simulation, and deployment stay connected through the entire life of the agent.
Knowledge layer
Your truth, continuously connected.
Files, APIs, media, and procedures stay linked to the agent instead of being trapped in a one-off prompt.
SOP library indexed Product data connected Permissions inherited
Spatial Intelligence Engine
The missing layer between AI and the world.
Language models know a lot. WorldAgents gives them the place, state, and perception required to know what matters now.
Perception Understands the scene
Context Knows where it is
Action Uses your systems
Environment model Ready for simulation
In production · New York
Artwork recognized
Next room mapped
Selected work
Spatial intelligence, experienced—not explained.
A live museum experience shows the same core idea in practice: the agent understands the room, recognizes what matters, and responds in context.
Live spatial context Institution-specific knowledge One continuous experience
300k+ShapesXR projects created
200+institutions using ShapesXR
SOC 2Type 2 security posture
1 systemfrom simulation to deployment
The next interface is not another screen.
It is the world itself.
One source of truth
Update the knowledge once. Every deployed agent gets better.
Behavior you can inspect
Trace decisions, test scenarios, and keep humans in control.
Built beyond the screen
Designed for the physical world from the first line of code.
Built by the team behind ShapesXR
Years of spatial product experience, now focused on AI that can operate beyond the screen.Trusted by teams using ShapesXR
Start with something real
From your place to a live agent.
A focused pilot should answer one question clearly: can this agent improve the moment that matters?
Choose the moment
One place, one workflow, and one outcome worth proving.
Model and rehearse
We ground the agent in your world and run it through the hard cases.
Go live deliberately
Your team signs off, then the same tested agent moves into the field.
See it in the field
An expert beside every frontline worker.
See how the platform turns procedures and spatial context into guidance in the moment.
