Physical AI and dexterous robotic hands for industrial automation
Sanctuary AI builds Physical AI for industrial robots, pairing a deep learning stack (PyTorch, JAX, TensorFlow, CUDA) with ROS 2 and C++ for on-robot control. Requirements tooling like Jama Connect and TestRail, plus pain points around prototype-to-production scaling and manufacturing cost, show a company moving from R&D toward hardware commercialization. Accelerating, engineering-heavy hiring centers on senior and lead roles.
Sanctuary AI is a privately held company headquartered in Vancouver, BC, founded in 2018 and employing 51–200 people. It develops AI systems and proprietary hydraulic robotic hands that let industrial customers automate complex, dexterous tasks. Its software is designed to run across both current and future robotic hardware platforms. The team works across machine learning, computer vision, robotics and end-of-arm tooling, with hiring concentrated in Canada.
Sanctuary AI uses PyTorch, JAX, TensorFlow, CUDA, ROS 2, Python and C++, with AWS, Azure and GCP for cloud, Docker and Kubernetes for infrastructure, and GitLab, Jira and Jama Connect for engineering workflow.
Current work includes robotic hand development, high power-density actuation, RL and IL algorithms for humanoid robots, ML policy deployment on physical robots, and a manufacturing readiness program.
Yes. Hiring is accelerating and dominated by engineering, mostly at senior and lead levels, with a smaller product and sales presence. Roles are based in Canada.
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Sanctuary AI'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.