The data layer for physical AI
AI teams building physical-world systems struggle to turn messy, multimodal sensor data into well-curated, aligned datasets suitable for training and deploying reliable models.
Encord provides a data platform to curate, manage, label, and align multimodal data for building and deploying physical AI models.
Enterprise and high-growth AI teams building robotics, autonomous vehicles, and other physical-world AI systems.
Co-Founder & Co-CEO, Encord
Cofounder and CEO | Encord Senior Quantitative Researcher | DRW SM Applied Physics | Harvard University MS Electrical Engineering, BS Physics | Stanford University