A high-performance Omniverse solution designed to make large-scale OpenUSD assets easier to process, search, and manage for next-generation Digital Twin environments.
Akila 3D provides an advanced 3D Digital Twin platform for large-scale urban and asset analysis, simulation, and operational optimization. As digital twin models scaled to metropolitan dimensions, processing massive OpenUSD datasets with millions of 3D objects created severe loading and querying bottlenecks within the emerging NVIDIA Omniverse ecosystem. To solve this, BlueOC partnered to engineer high-performance tools and custom algorithms for NVIDIA Omniverse, enabling efficient asset splitting, indexing, and fast data querying across multi-gigabyte models.
Building cutting-edge spatial intelligence tools required Akila 3D to integrate complex urban environments into NVIDIA Omniverse while maintaining real-time simulation performance. As asset complexity grew to metropolitan scale, handling dense OpenUSD scenes created critical computational and data management barriers. The engineering team addressed several key technical barriers:
Processing city-scale models with millions of 3D objects led to extreme file sizes (1GB+) and long loading times.
Real-time spatial analysis required rapid search and querying across deep USD stage hierarchies without lagging the viewport.
Handling metropolitan-scale models necessitated automated batch processing and modular asset segmentation for seamless streaming.
Developing production-grade extensions required navigating continuous API updates across the NVIDIA Omniverse and OpenUSD ecosystems.
BlueOC engineered a suite of high-performance tools and pipelines for NVIDIA Omniverse across four core areas
Python
Partner with BlueOC to build high-performance OpenUSD workflows, optimize 3D asset processing, and accelerate your spatial AI platform.