FactVerse uses digital twins to generate synthetic data for AI training, addressing data gaps and privacy concerns. Integrated with NVIDIA Omniverse and Cosmos, it creates diverse datasets, reducing reliance on real-world data, accelerating AI development, and driving innovation in manufacturing and facility management.
FactVerse Designer offers a flexible, user-friendly interface to create realistic synthetic datasets tailored for AI training. It enables ground truth data generation and seamless integration with NVIDIA Omniverse, reducing data preparation costs and accelerating model development while enhancing predictive accuracy and workflow optimization.
DataMesh's DFS generates realistic synthetic data by integrating IoT, historical metrics, and digital twin models. It enables machine learning training, scenario simulation, and ground truth generation, accelerating development, enhancing accuracy, and reducing reliance on costly real-world data.
The FactVerse Connector integrates DataMesh’s real-time data fusion and digital twins with Omniverse’s advanced simulation and rendering, enabling high-fidelity 3D environments, AI training with ground truth data, and optimized workflows. This collaboration empowers businesses with enhanced design, operations, and training capabilities.
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