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
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.
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.
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")
10,000
labeled images
20 min
any domain
Domains
Ground autonomy
Urban terrain, open desert, forested environments with configurable occlusion and lighting.
View examples →Maritime autonomy
Open water, littoral zones, sea state variation, and weather-driven visibility degradation.
View examples →Aerial ISR
Nadir and oblique views across altitudes, with atmospheric haze and sensor noise profiles.
View examples →Counter UAS
Small UAS signatures against cluttered sky backgrounds at a range of aspect angles and ranges.
View examples →Asset pipeline
3D neural reconstruction
Any real-world asset can be added to our simulation database. We use neural reconstruction to 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.