AI-powered robotics systems for high-precision industrial automation
Eureka Robotics builds AI-enabled robotic systems for high-accuracy, high-agility industrial tasks—inspection, handling, picking, assembly, dispensing. The stack reveals a mature systems-engineering org: CAD tools (SolidWorks, Onshape, AutoCAD), core robotics frameworks (ROS), deep-learning infrastructure (PyTorch, TensorFlow), and comprehensive test automation (Selenium, Cypress, Robot Framework). Engineering dominates hiring (13 of 20 open roles), with active projects spanning mechanical design, computer vision, cloud-edge robotics, and production readiness—indicating growth beyond research into scaled manufacturing deployments.
Eureka Robotics develops AI and robotics products for factory automation across precision assembly, quality inspection, and material handling. Founded in 2018 and headquartered in Atlanta, the company operates offices in the United States, Japan, Singapore, and Vietnam to serve multinational manufacturing clients. The business leverages proprietary motion-planning and computer-vision technology built on research partnerships, supported by more than 30 million deployed operations globally. Current scaling efforts focus on integrating systems with partner OEM products, improving on-site deployment workflows, and expanding regional sales coverage—particularly in the Midwest.
Core: ROS, Python, C++, PyTorch, TensorFlow, Jupyter. CAD: SolidWorks, Onshape, AutoCAD. Testing: Selenium, Cypress, Robot Framework, Playwright. DevOps: Docker, Podman, Jenkins. Front-end: Figma, Sketch.
Eureka actively recruits in United States, Singapore, Japan, and Vietnam, reflecting its global manufacturing customer base and regional office footprint.
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Eureka Robotics'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.