// 001 — Digital twin visualization

Data Infrastructurefor Physical AI.

Powering the next generation of physical AI systems with scalable digital twins and simulation-ready urban environments.

Learn more
// Companies and labs we work with
UC Berkeley
California PATH
Advanced Mobility Group
Path2V2X
NVIDIA Inception Program
UC Berkeley
California PATH
Advanced Mobility Group
Path2V2X
NVIDIA Inception Program
UC Berkeley
California PATH
Advanced Mobility Group
Path2V2X
NVIDIA Inception Program
UC Berkeley
California PATH
Advanced Mobility Group
Path2V2X
NVIDIA Inception Program
UC Berkeley
California PATH
Advanced Mobility Group
Path2V2X
NVIDIA Inception Program
UC Berkeley
California PATH
Advanced Mobility Group
Path2V2X
NVIDIA Inception Program
UC Berkeley
California PATH
Advanced Mobility Group
Path2V2X
NVIDIA Inception Program
UC Berkeley
California PATH
Advanced Mobility Group
Path2V2X
NVIDIA Inception Program
UC Berkeley
California PATH
Advanced Mobility Group
Path2V2X
NVIDIA Inception Program
// 001 — SimScene

Digital twin streets.

Capture any street, intersection, or campus as a high-fidelity digital twin. Lane topology, signal logic, and semantic props load directly into CARLA and Unreal as a runtime world.

Town04 / Route_03
RGB / Depth / Lidar / Boxes
Map integrations
CARLACARLA runtime
Eclipse SUMOTraffic simulation
ASAMOpenDRIVE / OpenSCENARIO
NVIDIA OmniverseUSD workflows
ROS 2Robotics bridge
Cosmos-Transfer 2.5Cosmos-Transfer 2.5
Cosmos-Reason-2Cosmos-Reason-2
Alpamayo 1.5Alpamayo 1.5
// 002 — SimCloud

The simulation
platform.

Compose scenarios in the browser, run them on CARLA workers, and capture multi-sensor output for every run.

RGB
DEPTH
SEG
car · 0.93BOXES
Sensor Output · Synchronized Frames

// 003 — Cosmos Transfer

One render,
every condition.

Push CARLA renders through NVIDIA Cosmos. Same actors, same trajectory — photorealistic variants for every weather, time of day, and lighting preset.

01 Generated outputs
Cosmos lane standing by

// 004 — Cosmos-Reason2 VLM

Scenes the model
can explain.

Trailing-camera footage flows through Cosmos-Reason2. Ask a question about any moment in the scene and get structured commentary on what the model sees, beat by beat.

01 Live commentaryCosmos-Reason2
What is happening in this scene?
Loading footage
Trailing camera01
You
A yellow Tesla drives into a parking lot and takes various turns in the lot, eventually exiting out the way it initially turned in.
Cosmos-Reason2
// 005 — Use cases

Built for teams shipping physical AI.

Autonomous driving wireframe visualization
01AV

Autonomous driving

Validate stacks against real street layouts as twin-backed, repeatable CARLA scenarios.

Physical AI labs wireframe visualization
02Robotics

Physical AI labs

Reproduce edge cases as deterministic runs your fleet and policies can re-run on demand.

Smart-city ops wireframe visualization
03Cities

Smart-city ops

Test traffic, curbside, and signal changes in-engine before any field trial.

Gaming, movies, entertainment wireframe visualization
04Media

Gaming, movies, entertainment

Turn real-world digital twins into cinematic previs, virtual sets, and playable worlds.

// 006 — Custom Maps & Scenarios

Custom digital twins, scenario authoring.

Send us any real-world location and the scenarios you want to run. We’ll build the high-fidelity digital twin, author the scenarios, and hand it back ready to run on the simulation platform.

SimForge, Building #159, 1301 South 46th St,
Richmond, CA, 94804 USA