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
Customizable AI models (size, emotion, pose, skin tone, hair)
Enterprise AI model library for consistent branding
Stylezone collaboration for real-time asset sharing
E-commerce-ready content generation without physical samples
Validated digital twins with accurate fit consistency
IP and copyright ownership of AI model assets
Integration with 3D design tools (VStitcher, Lotta)
Wholesale presentation with on-brand AI models
Localized, diverse visuals for global campaigns
Cost reduction on photoshoots and licensing fees
Faster time-to-market via reduced sampling
Design validation and review in Stylezone
