Features
Photorealistic synthetic data generation with physics-based rendering and ray tracing
Pixel-perfect annotations: 3D keypoints, semantic masks, bounding boxes, depth maps, normal maps
Sensor simulation and multimodality (RGB, hyperspectral, thermal, radar)
Multi-GPU deep learning integration with PyTorch
Domain adaptation to reduce synthetic-to-real domain gap
AI-based image and video processor for domain adaptation
Garden of deep neural network architectures for 3D/4D training
Task scheduler and GPU memory level integration
Blueprint-based project management for reusable asset bundles
Hyperspectral rendering for multispectral imaging applications
Military-grade data simulation for defence and surveillance
Gartner-recognized synthetic data cloud technology
14 mentions in Gartner Emerging Tech Reports
Generative image creation via API
Image editing (extend, remove, fill) APIs
Custom model fine-tuning (enterprise)
20+ generative and creative APIs
SDKs for Node.js, Python, Java
Enterprise-grade security compliance (SOC2, ISO27001, FedRAMP)
Usage-based pricing (pay-as-you-go)
Scalable cloud infrastructure (AWS)
API collections for common workflows
Integration with Adobe Experience Cloud (AEM, Workfront)
Commercial safety (licensed training data)
Content credentials (Adobe C2PA integration)
Developer portal with documentation
Rate limiting and access controls
