Novele Closes $17M Series A to Scale Autonomous Energy Intelligence for Commercial Buildings

Read article: Novele Closes $17M Series A to Scale Autonomous Energy Intelligence for Commercial Buildings

Novele, an applied AI company for energy in the built environment, has announced the close of an oversubscribed $17M Series A financing led by boisei labs, with participation from Locke Health, Arup Ventures, national construction firm Barton Malow, and several of the commercial real estate owners and operators.

Novele gives commercial buildings the intelligence and control to predict, reshape, and optimise their power in real time. Its platform combines BoardOS, Novele’s AI-powered energy software, with EnergyBoard, its distributed energy storage hardware, creating a full-stack system for existing, occupied commercial buildings.

The financing comes as electricity demand in the United States is accelerating as AI infrastructure, data centres, and advanced manufacturing place new demands on a grid that can take years to expand.

Charles Conwell, CEO and co-founder of Novele, said, “As electricity demand accelerates, the grid needs flexibility, and there is an enormous amount of it hiding inside the buildings we already have. Novele gives owners the intelligence and control to unlock it while improving cost, resilience, sustainability, and the tenant experience.”

George Perry, President and Founder at boisei labs, said, “Building owners have a clear economic and operational reason to adopt the platform – lower costs, greater resilience, and more intelligent control of their energy, while every deployment also creates a more flexible and efficient electric grid. The striking alignment across customer value, technological innovation, and broader societal benefit is what made Novele such a strongly compelling investment for us.”

Novele will use the funding to expand its engineering, deployment and commercial teams; scale installations across its active pipeline; and continue developing and training BoardOS, its autonomous energy intelligence layer, spanning circuit-level data to portfolio-level reporting.

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