Predicting the Unpredictable : Bifrost Accelerating Physical AI with Nebius

Physical AI needs the right training data to work in the real world. But collecting, labeling and preparing that data can become a major bottleneck. Bifrost is addressing that challenge with simulation and synthetic data, helping robotics and autonomy teams train, test and improve their models before deploying them in the physical world. In this film, Bifrost CEO and co-founder Charles Wong and the team at Havoc explain how synthetic data supports maritime autonomy, from recognizing distant vessels to training across a wide range of environments. Havoc describes how it can generate targeted data and retrain within the same day, then use real-world testing to refine its models. Charles also explores how Nebius supports Bifrost as it scales simulation and synthetic data generation for their customers, combining cloud infrastructure with a focused physical AI strategy, tools, best practices and close collaboration. 0:00 The data bottleneck holding back physical AI 0:38 Havoc and the challenge of maritime autonomy 1:25 Training with synthetic data from Bifrost 2:09 Generating new data and retraining in a day 2:22 Turning real-world failures into better models 2:47 Scaling simulation with Nebius 3:36 Bringing robotics into everyday life Learn more about Bifrost: https://www.bifrost.ai/ Learn more about Havoc: https://www.havocai.com/ Learn more about Nebius for physical AI: https://nebius.com/solutions/physical-ai-and-robotics