Verdigris integrates IoT energy meters, cloud software and AI to deliver real-time, circuit-level energy monitoring and data analysis for enterprises with substantial carbon emissions. Their happiest customers care about three things: Who makes it the easiest to ensure data quality? Who can deploy at scale the fastest? And whose data is ready for the AI applications to come?
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Verdigris was founded in 2011 to help solve the global problem of energy waste. Their vision is to bring AI-powered energy intelligence to every building in the world.
Today, Verdigris’ focus is on providing enterprises with substantial carbon emissions, such as data centers and 24/7 facilities, with real-time, circuit-level energy monitoring and data analysis. Customers use Verdigris to improve capital efficiency and reduce risk when making capacity planning decisions; to track, monitor, and reduce Scope 2 emissions; and to maintain compliance with emerging sustainability requirements.
Verdigris differentiates by being purpose-built for fast, cost-effective rollouts; building foolproof data resilience into its products; and providing highly-granular data that is future-proof for AI-enabled targeted analysis and predictive analytics.
Innovative solutions are emerging that promise to liberate building owners from these closed ecosystems. In particular, one buzzword is on everyone’s lips as a beacon of hope for “freedom from lock-in”: open source. But what does “open source” really mean in the context of building automation, and can it deliver on its promise of flexibility and owner control?
Today's tools have not been very user-centric for the people on the ground, so those people ignore them—and the hoped-for efficiency and data insights never materialize. Now that’s starting to change. Gamification, AI, and behavioral psychology principles influence users to return frequently, spend more time on the platform, and even enjoy doing so.
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