Bidgely processes smart meter data at scale—spanning 15M+ homes—using Kafka, Spark, HDFS, and Cassandra to extract appliance-level insights from utility customer data. The stack reveals a mature data infrastructure business, but active hiring in sales (4 open roles) and product alongside documented pain points around implementation quality and platform scaling suggest Bidgely is shifting from a pure analytics vendor toward a services-and-platform hybrid, wrestling with the complexity of enterprise utility deals and legacy platform constraints.
Bidgely provides AI-powered analytics and customer engagement software to utilities. The core technology disaggregates smart meter data to identify individual appliances and usage patterns, enabling utilities to optimize operations, personalize customer communications, and manage demand response. The company operates across multiple geographies (US and India hiring) and serves a customer base spanning gas and electric utilities. Internally, Bidgely manages energy management service implementations, advanced analytics platform development, and partner integrations while modernizing its data infrastructure to handle trillion-scale data volumes.
Bidgely's stack centers on distributed data processing: Kafka, Apache Spark, HDFS, Cassandra, and Elasticsearch for ingestion and analytics. Cloud infrastructure spans AWS, GCP, and Azure. Sales and marketing tools include Salesforce, Sales Loft, LinkedIn Sales Navigator, and Demandbase. AI capabilities are built on LangChain, LangGraph, and FastAPI.
Mountain View, California. The company was founded in 2011 and is privately held with 51–200 employees.
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