Real-time location tracking and asset management for healthcare facilities
CenTrak operates an RTLS platform deployed across 2,000+ healthcare facilities globally, tracking assets, staff, and workflows in real time. The tech stack reveals a modern full-stack architecture—Angular/TypeScript frontend, .NET/Node.js backend, PostgreSQL/SQL Server/DynamoDB data layer, with ML infrastructure (PyTorch, TensorFlow, MLflow, Kubeflow) now being augmented by RAG—signaling a pivot toward AI-driven insights from location and operational data. Leadership hiring (7 senior roles, 2 directors) suggests active scaling of sales and operations functions, while ongoing RTLS hardware maintenance and server migration work indicates the company is managing technical debt alongside product expansion.
Notable leadership hires: Regional Sales Director, Government Accounts Director, Director
CenTrak builds a real-time location system (RTLS) purpose-built for healthcare operations. The platform provides visibility into asset location, staff positioning, and workflow patterns, with adjacent capabilities in environmental monitoring, hand hygiene compliance tracking, and nurse call integration. The company serves hospital systems, senior living facilities, and acute-care settings—operating at scale across 2,000+ deployed sites. Engineering priorities include RTLS system reliability, server infrastructure modernization, and operational efficiency work (lean process implementation, warehouse throughput optimization). The sales organization is expanding with director-level hires focused on government and regional accounts.
Frontend: Angular, TypeScript, JavaScript. Backend: .NET, Node.js, NestJS. Data: PostgreSQL, SQL Server, DynamoDB, MongoDB. ML: PyTorch, TensorFlow, MLflow, Kubeflow. Cloud: AWS. APIs: GraphQL, gRPC, REST. Currently adopting RAG for retrieval-augmented capabilities.
CenTrak's RTLS platform is deployed across 2,000+ facilities globally, spanning hospitals, senior living communities, and acute-care settings.
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