WORLD MODEL INFRASTRUCTURE

Run world models.
Not GPU infrastructure.

Managed inference for emerging world models and physical AI. Submit jobs, run models, and retrieve outputs through a simple developer API.

Private preview in development

SCENE / 0047WORLD MODEL OUTPUT
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DEPTHSEGMENTATIONGENERATION

THE PLATFORM

World models, without the infrastructure overhead.

Build with the models you care about. ecru is shaping a focused execution layer for demanding physical-world workloads.

01
◈

Managed inference

Run supported world models through one clean API. No provisioning, environment setup, or serving stack to maintain.

02
↗

Asynchronous execution

Submit long-running workloads, track their status, and retrieve completed outputs when they are ready.

03
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Portable outputs

Take generated media and execution metadata into the tools and pipelines you already use.

MODEL EXPLORATION

Emerging models.
One execution layer.

We’re starting with open-weight physical-AI models and synthetic-data workflows, prioritised around real developer demand.

PHYSICAL AI

INFERENCE VALIDATED

NVIDIA Cosmos3 Nano Sim Transfer ↗

Depth-conditioned photorealistic video generation, successfully executed on NVIDIA H100 and RTX A6000 GPUs. Managed API access is being prepared for private preview.

INFERENCE VALIDATED

PLANNED API

Built for developers.

A straightforward workflow for long-running model inference.

ILLUSTRATIVE API — PLANNED INTERFACE
curl -X POST https://api.ecru.dev/v1/generations \
  -H "Authorization: Bearer $ECRU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nvidia/cosmos3-nano-sim-transfer",
    "input": { "depth_video_url": "https://example.com/depth.mp4" }
  }'

→ 201 { "id": "gen_example123", "status": "queued" }

GET /v1/generations/gen_example123
→ 200 { "status": "completed", "output": { "video_url": "https://example.com/output.mp4" } }
01Submit
02Monitor
03Retrieve

MODEL DEMONSTRATION

Real outputs from physical-AI inference.

Depth-conditioned photorealistic video generation using managed GPU infrastructure.

DEPTH INPUT
Depth conditioning input for autonomous driving
GENERATED RGB · AUTONOMOUS DRIVING
Generated autonomous driving scene
NVIDIA Cosmos3 Nano Sim Transfer ↗300 FRAMES · 10 SECONDS · RTX A6000
DEPTH CONDITIONING · ROBOT ARM
GENERATED RGB · ROBOT ARM

PRIVATE PREVIEW

What are
you building?

We’re working with early developers to shape the first supported models and workloads. Tell us what you’re trying to run.

No commitment. Early-access applicants will be contacted as the preview develops.