Computer vision and robotics for autonomous sorting in logistics
Prime Vision builds computer vision and robotics systems for autonomous sorting in postal and e-commerce logistics. Their stack—Python, TensorFlow, PyTorch, ROS 2, Gazebo, and LiDAR—reflects deep ML and robotics engineering. They're actively implementing AFAS ERP and digitalizing internal HR, while shipping production systems for autonomous mobile robots and real-time 3D scene interpretation. The hiring mix (engineering-led, mid-to-senior balance) and active project velocity signal a company scaling beyond core vision algorithms into operational software at scale.
Prime Vision develops autonomous sorting and vision-guided material handling systems for postal services and e-commerce fulfillment centers globally. Founded in 2003 in Delft, the company has grown to 51–200 employees across engineering, sales, and support, with active hiring in the Netherlands and United States. Their products combine computer vision (OCR, handwriting recognition, damaged parcel detection) with robotics (autonomous sorting robots, mobile manipulators) to automate high-velocity logistics workflows. The company is in active scaling mode: shipping production software for autonomous mobile robots, building real-time event-driven systems, and modernizing internal operations with ERP implementation.
Python, TensorFlow, PyTorch, Docker, Kubernetes, FastAPI, Node.js, React, Vue, PostgreSQL, Redis, ROS 2, Gazebo, Isaac Sim, and LiDAR form their core stack. They're also adopting AFAS for ERP.
Current projects include damaged parcel detection on conveyor belts, real-time 3D scene interpretation, production-grade autonomous mobile robot software, real-time messaging systems, and ERP implementation with AFAS.
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