fAInd develops an AI-based sensing platform that upgrades the performance of standard passive RFID tags. By applying advanced RF signal processing and machine learning, the system provides real-time, high-accuracy asset identification and localization in complex, high-throughput environments. The platform is designed for retail, warehouses, and fulfillment centers, where it improves inventory accuracy, reduces shrinkage, and increases operational efficiency. Unlike traditional RFID systems that require costly, hardware-intensive readers, fAInd delivers a scalable, cost-effective solution that integrates seamlessly with existing tags and infrastructure.