Lumafield builds industrial CT scanners and the software to make sense of the data they produce. Founded in 2019, the company targets a specific problem in manufacturing: the inability to see inside a finished part without destroying it. Their Neptune scanner is designed to be accessible - cheaper, smaller, less complex than legacy industrial CT systems - giving engineers non-destructive internal inspection capabilities that were previously reserved for aerospace budgets.
The security surface here isn't traditional network defense, but it's real. These are internet-connected industrial hardware systems shipping CT scan data to a cloud-based platform. Voyager, their browser-based analysis tool, handles sensitive manufacturing data - internal geometries, defect maps, quality-control records - across distributed teams. That means protecting proprietary design IP in transit and at rest, securing device firmware against tampering, and managing access control on data that could reveal a manufacturer's process weaknesses or product flaws.
The technical stack spans computer vision, AI-powered analysis, industrial IoT, and web platforms. Anyone working security here needs fluency in both the physical attack surface - embedded systems, scanner firmware, data acquisition pipelines - and the cloud layer where analysis happens. The threat model includes supply-chain compromise of industrial hardware, exfiltration of proprietary scan data, and adversarial manipulation of AI models used for defect detection.
