Generation & transmission co-op serving 700K+ consumers across Indiana and Illinois
Hoosier Energy operates a multi-year infrastructure modernization program anchored in cloud data platforms (Azure Synapse, Fabric Data Warehouse, Snowflake) and AI model development (predictive maintenance, anomaly detection). The tech stack reveals a heavy tilt toward Microsoft cloud services paired with traditional utility-sector tools (SCADA, AutoCAD, Fluke), and hiring patterns show engineering-led acceleration across ops and infrastructure roles—consistent with active transmission system upgrades and compliance demands (NERC, RRO standards).
Hoosier Energy is a generation and transmission cooperative serving 700,000+ consumers through 17 member distribution systems in central and southern Indiana and southeastern Illinois. Founded in 1949, the nonprofit provides wholesale power and transmission infrastructure to its member cooperatives. Current operational focus includes multi-year transmission and communication system upgrades, predictive maintenance AI model development, and modernization of cost accounting and inventory systems. The organization is headquartered in Bloomington, Indiana.
Primary tools include Microsoft cloud services (Azure Synapse, Fabric Data Warehouse, Azure Data Factory, Azure SQL), Snowflake, SQL Server, Power BI, Salesforce, and utility-specific platforms (SCADA, AutoCAD, LiDAR, Fluke). Data governance relies on Alation.
Key initiatives include transmission and communication system upgrades, predictive maintenance and anomaly detection AI models, cost accounting system modernization, asset replacement planning, and AI tool integration into business workflows.
Hoosier Energy'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.