Battery-free Bluetooth sensor platform for supply chain visibility
Wiliot runs an IoT sensing platform that turns signals from battery-free Bluetooth tags into item location and condition data for supply chains. Its stack spans chip-level work (Verilog, C++, MATLAB, BLE) through streaming infrastructure (Kafka, Flink, Spark, Iceberg, Databricks) across AWS, Azure and GCP. Engineering-heavy hiring and repeated pain points around stream performance and scaling IoT pipelines show the bottleneck is data processing at volume.
Wiliot builds a platform that processes signals from battery-free Bluetooth sensors with AI and ML models to deliver continuous visibility into product location and condition. Use cases include condition monitoring, inventory intelligence, asset tracking, reusable transport items and workflow optimization. The company sells to retailers and logistics operators and integrates with existing enterprise systems. Headquartered in San Diego, CA, Wiliot is privately held with 201–500 employees and hires across the United States, Israel, Portugal and Ukraine.
Wiliot uses Python, Java, Spring Boot, Kafka, Apache Flink, Apache Spark, Databricks and Apache Iceberg, on AWS, Azure and GCP, with PostgreSQL, MongoDB, DynamoDB, InfluxDB, Grafana and Tableau, plus Verilog and Bluetooth Low Energy.
Wiliot hires in the United States, Israel, Portugal and Ukraine, with steady hiring weighted toward engineering and data roles, plus support, legal, product, sales and security.
Wiliot is building real-time IoT sensor data processing and stream monitoring, a data-driven supply chain analytics platform, dashboards, and pilot and production IoT deployments for customers.
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