Building energy and water consumption monitoring for real estate decarbonization
metiundo provides end-to-end metering and consumption analytics for commercial and residential real estate, helping operators measure and optimize energy, gas, heat, and water use. The stack reveals a data-first architecture (Airflow, Dagster, Looker, Power BI for transformation and BI) paired with IoT/hardware integration (smart meter rollout is an active project). Hiring velocity is accelerating with a sales-heavy mix (4 of 10 open roles), signaling customer acquisition at scale alongside infrastructure expansion to support cloud hosting and platform reliability.
metiundo GmbH, founded in 2021 and based in Berlin, builds a monitoring and analytics platform for real estate buildings. The product captures live consumption data across electricity, gas, heat, and water, enabling property owners and operators to measure baseline consumption and optimize usage in compliance with EU energy regulations. The technical backbone combines IoT sensor integration (submetering hardware) with data pipelines and BI tools to surface consumption trends and cost forecasts. The company operates in the PropTech and climate tech space, serving mid-market real estate portfolios across Germany.
Data orchestration (Apache Airflow, Dagster, n8n), analytics (Looker, Power BI, Tableau), backend (Python, Go, TypeScript), infrastructure (AWS, Docker, PostgreSQL, nginx), and automation (Zapier, Ansible).
Smart meter rollout, API integrations, cost forecasting, Looker-based reporting consolidation, cloud hosting, platform reliability, and sales infrastructure improvements.
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metiundo GmbH'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.