AI platform for energy-efficient building operations and cost reduction
aedifion operates Germany's primary software platform for building operations optimization, leveraging BACnet and Modbus integrations to collect real-time operational data from existing automation systems. The engineering-heavy hiring focus (9 roles) paired with active projects in digital twins, IoT hardware commissioning, and REST API integrations signals deep technical buildout; the stack (Vue, TypeScript, Tailwind, Jest, Cypress) reflects a modern frontend-first approach to visualizing building performance data.
aedifion is a SaaS platform that helps real estate managers optimize their building portfolios through AI-driven operational insights. The product integrates with existing building automation systems (BACnet, Modbus), collects real-time operational data, identifies malfunctions, and provides automated optimization recommendations targeting energy consumption, CO₂ emissions, and operating costs. Based in Cologne with over 100 employees, the company serves mid-market and enterprise real estate asset managers across Germany. Core capabilities include weather-informed scheduling, electricity price optimization, and digital twin modeling of building systems.
aedifion integrates with building automation systems via BACnet and Modbus protocols. The platform also builds custom REST API integrations with internal backend systems and handles real-time data collection and processing at scale.
Active projects include digital twin creation, IoT hardware commissioning, REST API backend integrations, security controls implementation, and building automation system optimization to reduce energy consumption and CO₂ emissions.
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