AI-powered RTLS that achieves room-level accuracy with ultra-lightweight infrastructure using machine learning instead of dense hardware deployments.
Achieves room-level RTLS accuracy with 10x less infrastructure than traditional systems — ML replaces dense hardware, cutting deployment time and total cost of ownership.
LocationAI uses ML algorithms to classify device locations at room-level accuracy from minimal BLE beacon infrastructure. The ML model continuously self-trains and adapts to environmental changes like construction, eliminating the network decay problem of traditional RTLS.