Encord News
Latest news, updates, and announcements from Encord.
Encord secured €50M Series C led by Wellington Management, bringing total funding to €93M as physica...
Encord secured €50M Series C led by Wellington Management, bringing total funding to €93M as physical AI systems transition from pilots to production. Platform data surged from 1 to 5 petabytes in 12...
Encord raised $60M Series C led by Wellington Management to scale AI-native data infrastructure for...
Encord raised $60M Series C led by Wellington Management to scale AI-native data infrastructure for physical AI, bringing total funding to $110M. The platform's managed data volume grew 5x to over 5 p...
Encord secured $60M Series C funding led by Wellington Management, bringing total funding to $110M a...
Encord secured $60M Series C funding led by Wellington Management, bringing total funding to $110M as physical AI reaches an inflection point. The company's 10x revenue growth and data volume surging...
London-based Encord secured €50 million Series C led by Wellington Management, bringing total fundin...
London-based Encord secured €50 million Series C led by Wellington Management, bringing total funding to €93 million as physical AI systems transition from pilots to production. With 10x revenue growt...
Encord secured $60M Series C funding led by Wellington Management, bringing total funding to $110M a...
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 sign...
Encord secured $60M Series C (total $110M) to address the critical bottleneck in physical AI: data r...
Encord secured $60M Series C (total $110M) to address the critical bottleneck in physical AI: data readiness, not model sophistication. With revenue growing 10x and platform data expanding from 1PB to...
Encord's new EBind methodology drastically lowers the barrier to entry for powerful AI models, allow...
Encord's new EBind methodology drastically lowers the barrier to entry for powerful AI models, allowing a 1.8 billion-parameter multimodal model to be trained on a single GPU. This data-centric approa...