Active grid response platform using sensors and real-time monitoring for grid reliability
Gridware builds hardware and software for electrical grid monitoring and fault detection using mechanical sensors and real-time telemetry pipelines. The tech stack reveals a dual engineering mandate: embedded systems (Embedded Linux, RTOS, LoRa, Sigfox) paired with cloud infrastructure (AWS, Kubernetes, Kafka) and modern data platforms (Databricks, Unity Catalog, Apache Spark). Hiring is heavily weighted toward senior engineers (15 of 20 roles) focused on hardware product development, test infrastructure, and observability—indicating a company scaling manufacturing operations and real-time monitoring at grid scale.
Gridware is a grid technology company founded in 2020 and based in San Francisco. The company develops an active grid response platform that combines high-precision mechanical sensors with cloud-based monitoring to detect grid faults early and enable proactive maintenance. The product addresses three operational problems: preventing outages, improving safety, and ensuring efficient grid operation. Gridware serves utility operators and grid infrastructure teams. The company is backed by climate-tech and Silicon Valley investors and operates across hardware product development, deployment scaling, and internal data engineering.
Gridware runs AWS, Kubernetes, Kafka, Databricks, and Spark for cloud infrastructure; Embedded Linux, RTOS, LoRa, and Sigfox for hardware; and Prometheus, Grafana, and Loki for observability.
Gridware is developing hardware products, scaling sensor deployment, building real-time grid monitoring platforms, and deploying data governance infrastructure (Unity Catalog) to handle high-volume telemetry pipelines.
Gridware's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.