Encord Raises $60M for Physical AI Data

The latest funding round brings Encord's total capital raised to $110 million, establishing its valuation at $550 million. The Series C was led by Wellington Management, with participation from new investors Bright Pixel Capital and Isomer Capital, alongside existing backers like Y Combinator and CRV. This positions Encord to further challenge Scale AI, which was valued at nearly $13 billion after its latest funding round. Encord was founded in 2020 by Ulrik Stig Hansen and Eric Landau. Hansen, with a background in computer science from Imperial College London and experience at J.P. Morgan, serves as co-CEO alongside Landau, who brings nearly a decade of experience from high-frequency trading at DRW and holds degrees in Applied Physics and Electrical Engineering from Harvard and Stanford, respectively. Their shared vision was to address the data bottleneck in AI, where they observed teams spending over 80% of their time on data rather than model development. The core of Encord's platform is a unified, software-first approach to managing the entire data lifecycle for physical AI, which relies on complex, multimodal data such as video, LiDAR, and other sensor inputs. This contrasts with more traditional data labeling services. Encord's platform is designed to handle the petabyte-scale data required for training models in autonomous vehicles, robotics, and drone applications. The company reports that data under its management has grown from one to over five petabytes in the last year. For machine learning teams, Encord's technical differentiation lies in its integrated environment for data curation, annotation, and model evaluation. This aims to eliminate fragmented toolchains. Customer case studies, such as with Pickle Robot, highlight a 60% faster model iteration cycle and a 15% improvement in robotic grasping accuracy. The platform offers AI-assisted labeling and features like the Encord Index for better data visualization and curation, which is particularly useful for identifying and mitigating biases and edge cases in datasets. Encord's client roster includes over 300 AI teams, with notable customers in the physical AI space like Woven by Toyota, Zipline, and Skydio. This focus on robotics and autonomous systems is a key market where Encord is directly competing with Scale AI, which has a strong presence with clients like Nuro and OTTO Motors. The lead investor in this round, Wellington Management, has been actively investing in the AI sector, focusing on later-stage companies with clear traction in areas like AI for cybersecurity and software development. New investors Bright Pixel Capital and Isomer Capital also bring experience in AI and infrastructure software, with portfolios that include various tech startups. This backing underscores confidence in Encord's specialized approach to the growing market for physical AI data infrastructure.