Spatial agents for the real world

Give every place its own intelligence.

WorldAgents is the platform for AI that understands where it is, knows how your world works, and can act in the moment.

World understood Live spatial context
Active
Place mapped
Context grounded
The platform
01
One model knowledge, place, and behavior
02
Simulation first watch it work before go-live
03
Every surface glasses, phones, and the web

The missing context

A model can know every manual. It still does not know where it is.

Real work depends on what is here, what changed, and what should happen next. WorldAgents makes the physical environment part of the agent's intelligence—not an afterthought.

Grounded in your world Proven before deployment Controlled by your team

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.

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

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
System status 24 sources synced

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
Explore the engine
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?

01

Choose the moment

One place, one workflow, and one outcome worth proving.

02

Model and rehearse

We ground the agent in your world and run it through the hard cases.

03

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.