Encord Raises $60M to Accelerate Physical AI Data Infrastructure
Encord, a fast-growing rival to Scale AI, has secured a $60 million Series C funding round, pushing the company’s valuation to $550 million. The fresh capital will fuel its ambition to become the core data infrastructure layer for robotics, drones, and other physical AI systems that rely on massive volumes of real-world sensor data.
Riding a Wave of Exploding Data Volumes
The funding comes on the back of a reported 10x revenue growth as customers scale up their use of computer vision and autonomous systems. According to the company, labeled and managed data on its platform has surged to around 5 petabytes (5PB), underscoring the rapid expansion of data-intensive AI deployments in logistics, manufacturing, defense, and aerial inspection.
Encord focuses on solving one of the hardest problems in modern AI: building reliable, high-quality training data pipelines for machines operating in the physical world. Its tools help enterprises annotate, curate, and continuously improve datasets from cameras, LiDAR, and other sensors used in robots and unmanned aerial vehicles.
Competing in the AI Infrastructure Arms Race
By positioning itself as a direct competitor to Scale AI, Encord is targeting the critical infrastructure layer that underpins next-generation autonomous robotics and drone intelligence. The company’s platform aims to streamline the entire data lifecycle, from labeling and quality control to model evaluation and feedback loops.
Industry observers note that as enterprises push AI from the cloud into factories, warehouses, and skies, demand for robust data infrastructure tailored to physical environments is intensifying. Investors are betting that platforms like Encord will become essential for safely scaling autonomous systems in complex, real-world conditions.
With the new Series C capital, Encord is expected to expand its engineering teams, deepen product capabilities for large-scale computer vision datasets, and grow its global customer base across robotics, industrial automation, and aerospace sectors.