Physical AI Data Pipelines with NVIDIA Omniverse NuRec, Cosmos and FiftyOne

Join Voxel51 and NVIDIA as they unveil a breakthrough that’s changing how Physical AI systems are built. In this first-ever demo featuring NVIDIA Omniverse NuRec and NVIDIA Cosmos with FiftyOne, you’ll learn how to create validated, simulation-ready data pipelines—cutting testing costs, eliminating manual data audits, and accelerating development from months to days.

Date and Location

Nov 5, 2025
9:00-10:30 AM Pacific
Online. Register for the Zoom

Developing autonomous vehicles and humanoid robots requires rigorous simulations that capture real-world complexity. The critical barrier that keeps teams from achieving success isn’t the simulation engine itself, but the data that powers it.

As Physical AI systems ingest petabytes of multisensor data, converting this raw input into validated, simulation-ready data pipelines remains a hidden bottleneck. A camera-to-LiDAR projection off by a few pixels, timestamps misaligned by a few milliseconds, or inaccurate coordinate systems will cascade into flawed neural reconstructions and synthetic data.

Without a well-orchestrated data pipeline, even the most advanced simulation platforms end up consuming imperfect data, wasting weeks of effort and thousands of dollars in testing and compute costs.

In a first-ever demo featuring NVIDIA Omniverse NuRec and NVIDIA Cosmos with FiftyOne, you’ll discover how to:

• Eliminate manual data audits with an automated workflow that calibrates, aligns, and ensures data integrity across cameras, LiDAR, radar, and other sensors
• Curate and enrich the data for neural reconstructions and synthetic data generation
• Reduce Physical AI testing and QA costs by up to 80%
• Accelerate Physical AI development from months to days

Who should attend:

• Data Engineers, MLOps & ML Engineers working with Physical AI data
• Technical leaders and Managers driving Physical AI projects from prototype to production
• AV/Robotics Researchers building safety-critical apps with cutting-edge tech
• Product & Strategy leaders seeking to accelerate development while reducing infra costs and risks.

About the Speakers

Itai H Zadok is a Senior Product Manager l Autonomous Vehicles Simulation at NVIDIA

Daniel Gural is a Machine Learning Engineer and Evangelist at Voxel51