AI platform for real-time energy optimization in industrial facilities
etalytics builds etaONE, an AI-driven energy orchestration platform deployed at large industrial and data center operators. The stack reveals a classical enterprise SaaS architecture (Java/Kotlin, Spring Boot, PostgreSQL, Kubernetes) with industrial IoT protocol support (MQTT, OPC UA, Modbus), indicating direct sensor integration rather than cloud-only analytics. Active hiring across engineering, sales, and marketing—with a notable intern cohort—suggests growth-stage scaling, while project focus on partner program development and account-based marketing signals a shift from pure product momentum toward channel and demand-generation strategies.
etalytics turns industrial energy systems into intelligent, self-optimizing infrastructures using machine learning. The company sells etaONE to automotive, pharmaceutical, chemical, and data center operators facing volatile energy costs, regulatory emissions pressure, and operational complexity. The platform works without additional hardware, detecting patterns, forecasting demand, and dynamically controlling systems in real time via dashboards and predictive analytics. Founded in 2020 and based in Darmstadt, Germany, the company operates at 51–200 employees and is expanding hiring in Germany and the United States. Claimed outcomes include energy savings up to 50%, ROI under one year, and measurable CO₂ reduction.
Java, Kotlin, Spring Boot, Docker, Kubernetes, PostgreSQL, Python. For industrial IoT: MQTT, OPC UA, Modbus. Sales and CRM: Salesforce, HubSpot. Analytics: Google Analytics.
Darmstadt, Hesse, Germany. Founded in 2020, etalytics is privately held with 51–200 employees and actively hiring in Germany and the United States.
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