Encord secured $60M Series C funding led by Wellington Management, bringing total funding to $110M a...
The AMW Read
Encord's growth validates the structural shift from internet-scale text data to high-volume multimodal sensor data required for the Robotics/Physical AI segment.
Encord secured $60M Series C funding led by Wellington Management, bringing total funding to $110M as physical AI data volume on its platform surged from 1 to 5+ petabytes in just 12 months. This signals a critical inflection point: unlike LLMs that train on internet data, physical AI systems require complex multimodal datasets from sensors, video, and 3D environments that demand entirely new infrastructure paradigms. With 300+ AI teams now on the platform and 10x revenue growth year-over-year, the market is validating data readiness as the key enabler for commercializing robotics, autonomous vehicles, and drones at scale. As the $60B+ physical AI market accelerates toward 2030, companies building these systems will rise or fall based on their ability to manage high-quality training data pipelines.
