Physical intelligence infrastructure2026

The live world layer for physical AI.

SOPHIA gives every operator, agent and machine one persistent, live understanding of a physical site.

Working coreReal buildingBuilt solo
Live · local demonstratorWorld interface / alpha
One physical site, held as live state.04 tracks · 03 sources · 01 world

AI is missing a world, not another model.

Cameras, robots and agents already exist. What they lack is a persistent reality they can all inspect, update and act on.

The first real building used to test SOPHIA
19 years inside the first site.The problem, users and field access are real.
Cameras see feeds

They do not preserve shared context.

Robots map locally

Each machine rebuilds the same place.

Agents reason in text

They cannot inspect persistent live state.

A working core, built from the world up.

Commodity inputs became geometry, shared tracks, memory and policy-gated action. The interface below is the system itself.

~10 s

Spatial capture → walkable world

A phone scan becomes solid geometry in about ten seconds.

2 → 1

Two sensors → one track

Camera and low-cost radar resolve into one live person track.

2.3 s

World → measure → act

Measure a route, reason over the site and trigger a spoken action.

Sensors change. The world remains.

SOPHIA turns fragmented observations into one continuously usable state layer for people, software and machines.

01

Sensors

Observe

Vision · radar · scans · machines
02

SOPHIA world model

Understand

Fuse · resolve · remember · simulate
03

World primitives

Hold state

Geometry · state · memory · permissions
04

Clients

Act

Humans · agents · robots · systems
SOPHIA OS ALPHA

typed contracts · registry · frame graph · replay

LIVE DEMO

world model · fusion · voice · actions

Security first

Start where reality already has stakes.

Security is the first deployment because the buyer, budget and operational pain already exist. A live world can be tested against concrete events, permissions and response times.

01

Win one urgent workflow.

02

Install one persistent site world.

03

Let every later client reuse it.

The platform logic

Security funds the first site. Every new machine expands the same world.

The site becomes shared infrastructure.

One installed world can support new missions without remapping the site or rebuilding context for every sensor, team or machine.

01

Emergency response

A live mission world for fire, rescue and disaster response.

Example deployment

Two indoor drones enter a smoke-filled, GPS-denied building. LiDAR, thermal and gas observations build an evidence-backed search state from unknown to mapped to searched, while possible victims, hazards and responder positions remain visible to incident command.

Indoor drones + responders → room / hazard / search state → command + safe routing

02

Healthcare

Presence, fall events and clinical telemetry in spatial context.

Example deployment

Radar detects a floor-level presence while an authorized wearable reports abnormal telemetry. SOPHIA binds both signals to the person and room, then routes the nearest caregiver with the exact location and evidence.

Radar + authorized device → person / room / vital context → caregiver response

03

Industrial safety

Live people, machines and permissions inside one operating state.

Example deployment

A person enters a live machine cell. SOPHIA fuses camera, radar and machine state, resolves the restricted-zone event and issues a policy-gated alert or stop.

Person + machine → shared zone state → operator action

04

Facility operations

Persistent assets, access state and change history across a real site.

Example deployment

A technician asks where the affected pump is and for the safest authorized route. SOPHIA returns the asset, current obstacles, access state and prior observations as one grounded task context.

Asset + live access state → grounded route / context → maintenance action

05

Robot fleets

Maps, memory and coordination that survive device boundaries.

Example deployment

One AMR finds a blocked aisle. SOPHIA updates the shared world once, so every robot and planning agent inherits the same obstruction and reroutes.

Robot observation → shared obstruction → fleet reroute

06

Inspection drones

A persistent asset world before, during and after every mission.

Example deployment

An inspection drone finds damage on a roof asset. SOPHIA anchors the finding to the site model, preserves it in memory and gives the next mission the same target for verified change detection.

Aerial scan → asset-linked condition → follow-up mission

End state / Site-level autonomy

A loading bay coordinates itself.

A truck arrives while people, an AMR and an automated door share the same zone. SOPHIA holds occupancy, permissions and intent so the door opens only when the bay is clear and the robot moves only when route and policy agree.

Truck + people + doors + AMR → one operating picture → coordinated action

Leon Karim Valentin · FounderSoftware, hardware and the physical site—built as one system.
05 weeks

From typed contracts to a working live world.

19 years

Inside the first site and close to its operators.

Built the core. Now build the company.

Leon Karim Valentin, 19, built SOPHIA's working core solo in five weeks—across software, hardware and the physical site itself.

The first building is not a staged lab. Leon grew up inside it. That access created a direct loop between real operators, real constraints and the system being built.

Full-timeReal-site accessPre-seed

For investors, design partners and builders

Build the live world with us.