STAGING
Autonomous AI pipelines for distributed spatial computing

Generative 3D pipelinesbuilt to render

Build and scale 3D generative pipelines faster on an infrastructure engineered from silicon to API. Fast, flat-rate GPU runtimes for Gaussian Splatting, mesh decimation, and volumetric rendering.

10K+spatial developers active
99.9%distributed runtime SLA
<12saverage image-to-3D run

Generating 3D Spaces &
Fighting Slow
Inference Speed.

SP
GS
VM

10K+ spatial developers using our rendering nodes

Computing Infrastructure

Active pipeline tasks

12 Nodes Online

SP
3D
D
B

We are an infrastructure developer dedicated to protecting your data pipeline & spatial assets.

We
RenderRender
SplatSplat

From generation to pipeline execution. On your terms

Faster time to 3D value

From zero to high-fidelity 3D meshes in minutes, with built-in repeatability, parallel pipeline runs, and self-service API access.

Raw GPU power. No surprises

Custom bare-metal GPU clusters (H100 & L40S) with non-virtualized nodes, InfiniBand interconnects, and leading node uptime SLAs.

Any format. Any renderer

Built from the ground-up for spatial developers. Render dense coordinate point-clouds, volumetric sp4ce-mesh assets, or volumetric splats.

Elastic at any stage

Scale smoothly from early experiments in our web playground to cluster-wide production Slurm dispatch architectures.

Trusted by the entire 3D AI ecosystem

Colmap Labs Splatify MeshWork VoxelCraft RenderFlow NeRF-Studio
Process

Three steps.
Infinite possibilities.

pipeline.ts
1import { sp4cetudio } from '@sp4cetudio/sdk';
2
3const dataset = await sp4cetudio.assets.ingest({
4  source: 's3://camera-feeds/room-scan/',
5  format: 'images/png',
6  align: 'auto'
7});
Ready

Hear it from our developers

RevolutCase Study

Scaling 3D Asset Pipelines for Visual Banking

Revolut rebuilt core workflows around interactive experiences to support 70M+ users. sp4cetudio provides high-throughput cluster pipelines to render custom 3D account avatars, running on over 200 non-virtualized NVIDIA H100 nodes.

Financial Infrastructure3D AvatarsNVIDIA H100
3.5xfaster asset generation speed
200+dedicated GPU nodes deployed
70M+customers served interactive UI
RoboForceCase Study

Reconstructing Physical Workspaces for Industrial Robots

To deploy physical agents in complex factory settings, RoboForce runs camera telemetry ingest pipelines on sp4cetudio to perform fast COLMAP alignments and reconstruct dense spatial splat maps in real time.

Physical AISpatial SplatsCOLMAP Ingest
Reconstruction telemetry feed
ShopifyCase Study

Generating High-Fidelity Product Assets at Scale

Shopify enables millions of global merchants to showcase interactive products. By integrating sp4cetudio's commercial image-to-3D pipelines, product photos are translated into WebGL-compatible interactive splats instantly.

E-Commercesp4ce-mesh SDKWebGL viewport
Generating High-Fidelity Product Assets at Scale
High-fidelity splat render

Reliable performance at scale

12 minmean time to resolution.
56.6 hrsmean time between failures for 3,000 GPUs.
43%better TCO for fine-tuning vs. AWS.⁴
112%better TCO for inference vs. AWS.⁵

Explore our volumetric pipelines

Scale from single-image assets to cluster-wide neural rendering queues in minutes.

sp4ce-mesh SDK
Cinematic IngestionImage-to-Mesh

sp4ce-mesh SDK

sp4ce-splat Engine
Volumetric Passes3DGS Reconstruction

sp4ce-splat Engine

sp4ce-cine Engine
Temporal UpscalingCinematic Rendering

sp4ce-cine Engine

Orchestration Console
Cloud ComputeCluster Dispatch

Orchestration Console