AI-powered supply chain visibility from battery-free IoT sensors
Wiliot builds hardware and cloud infrastructure to track items through supply chains using passive Bluetooth sensors and AI analysis. The stack—Bluetooth, 5G, Kafka, Spark, Kubernetes on AWS/GCP—reflects a hardware-software hybrid; hiring skews senior (18 of 36 roles) across engineering, sales, and ops, indicating they're moving from pilot deployments into scaled production. Active projects focus on custom sensor event design, field deployment, and real-time intelligence features, while pain points cluster around hardware logistics, deployment complexity, and scaling use cases.
Wiliot provides scan-free supply chain visibility through an "Ambient IoT" platform. The core product uses battery-free Bluetooth sensors ("IoT Pixels") deployed on or in packaging, with signal processing running in Wiliot's cloud infrastructure using AI and machine learning. The platform delivers real-time item location, condition monitoring, and inventory intelligence to enterprise supply chain teams. Operations span hardware manufacturing, cloud backend (data pipeline, ML models), customer onboarding, and field support. Headquartered in San Diego with 201–500 employees, the company hires across the United States and Israel.
Wiliot deploys battery-free Bluetooth sensors called IoT Pixels that transmit location and condition signals. The Wiliot Cloud processes these signals using Kafka, Apache Spark, and machine learning to deliver real-time supply chain visibility.
Wiliot uses Bluetooth, 5G, Kafka, Apache Spark, Kubernetes, AWS, and GCP for cloud infrastructure. The backend also runs InfluxDB, SQL, and ML tools (Python, PySpark, Scala). Frontend and BI use Tableau, Power BI, and Grafana. CRM and ERP include Salesforce, HubSpot, and NetSuite.
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