Energy efficiency platform for utilities and retail with rebate automation
SidRam Technologies delivers energy-efficiency and rebate-management tools to utilities, retail providers, and consumers. The stack reveals a mid-market enterprise player: SAP (Retail, S/4HANA, Fiori), Salesforce, ServiceNow, and Azure-native infrastructure (NET Core, Kubernetes, DevOps). Heavy engineering hiring (86 roles) combined with an active ai-first implementation pilot and legacy Rasa-to-agent migration signals a push toward AI-driven workflow automation—while a data-center exit and lift-and-shift migration indicate infrastructure modernization underway.
Notable leadership hires: Testing Lead, Data Lead
SidRam Technologies provides a platform and toolset designed to help utilities, retail providers, and end consumers reduce energy consumption and increase rebate uptake. Founded in 2016 and headquartered in Cumming, Georgia, the company operates across 51–200 employees with active hiring in the United States and India. The business is built on enterprise infrastructure (SAP, Salesforce, ServiceNow) paired with modern cloud stacks (AWS, Azure) and container orchestration (Docker, Kubernetes). Current operational priorities include migrating legacy workflows to AI-agent architectures, exiting on-premises data centers, and automating infrastructure provisioning.
SidRam uses SAP (Retail, S/4HANA, Fiori), Azure cloud services, AWS, Salesforce, ServiceNow, NET Core, React, Kubernetes, and Docker. Security tools include Palo Alto Networks, OneTrust, and Qualys.
Active projects include an AI-first implementation pilot, legacy Rasa-to-agent workflow migration, data center exit, lift-and-shift cloud migration, CI/CD pipeline implementation, and infrastructure-as-code automation using Kubernetes and containerization.
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SIDRAM TECHNOLOGIES'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.