After commissioning a renovation, you're usually flying blind for the first year. Areim didn't want that at Gloria so they connected Clouder to the building's systems already before completion. By the time the first lease started, the team already had a live view of how the building was actually running.
Many real estate teams gather data quarterly, fill out templates, publish a glossy PDF, then file it away. Little wonder the process feels dry and disconnected from day-to-day value creation. It’s the can’t‑see‑the‑forest‑for‑the‑trees problem: we measure so much that we lose sight of why we measure.
For years, the standard approach to smart buildings has been to gather data into automation systems, push it to the cloud via APIs, and rely on layers of sensors and IoT devices to fill in the gaps. This method became best practice not because it was perfect, but because it was the only viable way to extract even some meaningful data from buildings.
We’re excited to announce that Clouder is now AI-ready, empowering you to interact with your building data through AI applications like ChatGPT, Copilot, and Le Chat. With natural language queries, you can effortlessly access and analyze your building data, uncover anomalies in energy consumption, identify opportunities for optimization, and receive actionable recommendations.
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