Multimodal data curation and annotation platform for physical AI teams
Encord builds data tooling that helps AI teams curate, annotate and manage multimodal data for robotics, autonomous systems and computer vision. The stack pairs PyTorch, CUDA and Ray with WebGL, Canvas and LiDAR, pointing to heavy investment in browser-based 3D/4D annotation of sensor data. Hiring is accelerating and splits between senior engineering and a sales push led by a Sales Director search, with North American expansion playbooks in progress.
Notable leadership hires: Sales Director
Encord is a San Francisco-headquartered software company founded in 2021 that provides a data platform for teams building physical AI, including humanoid robotics, autonomous vehicles and smart infrastructure. Its product covers curation, management and annotation of image, video and other multimodal data used to train production models. The company is privately held, employs 201–500 people, and operates offices in San Francisco, New York and London. It runs on multi-cloud infrastructure across GCP, AWS and Azure, and hires in the United States and United Kingdom.
Encord uses Python, TypeScript and React, ML tooling like PyTorch, CUDA, Ray and TensorFlow, WebGL and Canvas for rendering, PostgreSQL and ClickHouse for data, and Kubernetes, Terraform and Pulumi across GCP, AWS and Azure.
Yes. Hiring is accelerating, led by senior engineering roles and a sizable sales build-out including a Sales Director, with openings in the United States and United Kingdom.
Encord is building a multimodal annotation editor, high-performance 3D/4D scene rendering, data integrations and CI/CD improvements, plus a North American post-sales and expansion playbook.
Other companies in the same industry, closest in size
Encord's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.