Building Physical AI: How to Enable Multimodal Reasoning at Scale

AI has transformed language, vision, and code—but what about the physical world?

Join the Encord ML team alongside Nick Gillian, Founder and Head of AI & SW at Archetype, AI as they reveal the critical components driving the Physical AI revolution. Learn how to:

• Identify critical edge-cases within petabytes of multimodal sensor data including video, audio and text
• Integrate AI models like GPT 4o, Grok 3 and Gemini 2.5 directly into data pipelines to accelerate high-quality data annotation
• Empower your Physical AI models with rich multimodal context, enabling multi-step reasoning for safer and more reliable real-world deployments

We'll also discuss the challenges of building Physical AI, its future applications, and how engineers and researchers can get involved. Don’t miss this deep dive into the next evolution of AI!