Scene Builder
A visual interface for composing simulation environments and time series scenarios. Place assets, configure sensor parameters, and export annotated imagery — no code required.
Training data at simulation speed
Generate fully annotated EO imagery at scale — across any domain, any condition — without a single real-world collection mission.
Generation Modes
Build individual scenarios visually or generate high-variance datasets programmatically.
Procedural Static Data Generation
A code-first pipeline for large-scale dataset generation with maximum randomization. Define distributions over scene parameters — asset placement, lighting, weather, sensor noise, backgrounds — and sample thousands of labeled images programmatically.
Fully Parameterized
Every scene variable — asset pose, scale, occlusion, lighting angle, atmospheric conditions — is configurable as a distribution.
Massive Scale
Run headless across cloud infrastructure. Generate orders of magnitude more data than the scene builder with a single script.
Higher Variance
Wider randomization ranges and combinatorial sampling cover edge cases the scene builder's manual workflow can't efficiently reach.
from nulllabs import SceneGenerator
gen = SceneGenerator(domain="maritime")
gen.randomize(
weather=["clear", "overcast", "fog"],
n_assets=(1, 8),
sensor_resolution=["1080p", "4K"],
)
gen.export(n=10_000, output="./dataset")10,000Labeled images
in
20 minIn any domain
Asset Pipeline
3D Neural Reconstruction
Any real-world asset can be added to our simulation database. We convert video or photo captures into high-fidelity 3D models — no manual modeling required.
Capture
Photograph or video an asset from multiple angles. Standard camera hardware is sufficient.
Reconstruct
Our neural reconstruction pipeline produces a detailed 3D model with accurate geometry and appearance.
Deploy
Assets are added to the simulation database and immediately available for synthetic data generation across all domains.
Domains
Generate data across the operational environments your perception system must understand.