LVT manufactures and operates a physical-security ecosystem combining deployable hardware (dash cams, mobile trailers, perimeter sensors) with a proprietary SaaS control plane. The tech stack reveals a company building inference at the edge—C/C++, Nvidia Jetson, embedded Linux, TensorFlow, PyTorch—while scaling cloud operations on AWS/Azure and adopting Oracle Fusion Cloud. Hiring velocity is accelerating across engineering and support, but internal projects flag ERP data integrity and forecasting accuracy as immediate friction; the company is mid-migration to Oracle and optimizing NetSuite workflows, suggesting operational scaling is outpacing back-office infrastructure.
LVT designs and deploys surveillance hardware and video analytics software for enterprise physical security. The product spans live-streaming dash cams, mobile instrumentation trailers, fixed perimeter sensors, and off-grid communication systems, all managed through a unified SaaS platform. Core customers are government and enterprise buyers seeking rapid deployment and actionable threat detection in large-scale environments. The company holds a GSA contract (47QTCA23D00DN) and operates with 501–1,000 employees from American Fork, Utah. Current focus is scaling go-to-market operations, optimizing internal finance and ERP systems, and expanding the support and engineering functions to meet near-term demand.
LVT uses C/C++, Python, Go, and Java for core development; Nvidia Jetson and embedded Linux for edge inference; TensorFlow, PyTorch, and Keras for ML; AWS and Azure for cloud infrastructure; Docker and Kubernetes for orchestration; and NetSuite/Oracle for finance.
ERP data integrity, forecasting accuracy, and scaling the recruiting function are top internal pain points. The company is migrating to Oracle Fusion Cloud and optimizing accounts payable processes to support growth.
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