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.
Northern Arizona University faced retiring tradespeople and 6,000+ scattered building documents, so the team used generative AI to extract system relationships and organize them into a searchable knowledge graph. The result: faster onboarding and less reliance on tribal knowledge.
CannonDesign watched a BAS access quote climb from $66K to $100K, then brought in an MSI to review the architecture and cut it to $29K.
Northern Arizona University’s CIO realized that aggregating IoT data wasn’t the hard part; relational context was. After choosing buy over build, the team moved from raw BACnet feeds to ontology-driven HVAC control, achieving 30% energy savings.
At LAX, environmental reporting once meant field visits, clipboards, and emailed meter photos. The airport is now connecting 1.2M+ data points and normalizing what already exists to improve compliance and create new sustainability opportunities.
Lincoln Property Company’s Chris Lelle realized that burdened engineers can’t each manage 300,000 sq ft by diving deep into BAS data—so he used FDD to simplify the troubleshooting his techs need to do.
CannonDesign added smart building scope to their office after bids were in, and Div 23/26 partners didn’t understand what “IDL” meant to their scope. They had to redraw Division 25 boundaries and clarify responsibilities to prevent the job from slipping.
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