Orbem industrializes MRI imaging by pairing PyTorch + Django with hardware integration (Kubernetes, Docker, OPC UA, Modbus, PLCs) to deliver non-invasive internal analysis at scale. The stack shape—heavy on ML/backend with embedded systems protocols—reflects a hardware-software hybrid business. Hiring velocity is accelerating across 56 open roles, concentrated in engineering and research, signaling ramp-up toward next-generation imaging products and production-grade protocol optimization.
Orbem uses AI and MRI technology to analyze internal structure and composition of biological samples—seeds, eggs, fruits, and human tissue—without destructive testing. Founded in 2019 and headquartered in Munich with a US office in Houston, the company serves food producers, researchers, and healthcare innovators. The business reduces waste, improves quality control, and enables transparency across agriculture and food supply chains. Core operational challenges center on scaling data acquisition, improving scan speed and image quality, and expanding US market presence alongside regulatory adaptation.
Orbem runs Python, PyTorch, and Django for ML and backend; React, Vue, and JavaScript for frontend; Kubernetes and Docker for orchestration; RabbitMQ for messaging; and hardware protocols (OPC UA, Modbus, EtherCAT, PROFINET) for MRI scanner integration.
Active projects include next-generation AI-powered MRI solutions and healthcare imaging products, production-grade protocol optimization, MRI hardware integration, proof-of-concept validation trials, and CI/CD integration for testing infrastructure.
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