AutoGrid, Enel X, Schneider Electric EcoStruxure
Leap Energy, Arcadia, Gridmatic
Schneider Electric Energy Services, Accenture Energy
Energy procurement, consumption, and regulatory data unified in one platform creates a system of record that gets stickier as contract history accumulates. Data center focus targets the fastest-growing demand segment where procurement complexity is highest.
Using time-series demand forecasting, reinforcement learning for energy hedging and procurement, and anomaly detection for grid fault prediction.
AI planning engine for construction decisions made before scope lock and procurement.
MeltPlan owns the pre-construction decision layer, a wedge Procore and Autodesk have not productized because their business models optimize execution rather than the choices that precede it.
Gives architecture firms an AI teammate for specs, compliance, and documentation.
Architecture firms spend more time on specs, compliance, and documentation than on design. Avoice already manages $300M+ in active projects across five countries, proving the workflow sticks in an industry that resists new software.
Helps electrical contractors win more jobs faster by automating estimating and proposals with AI.
Data center construction is booming and electrical contractors are the bottleneck. Bidflow automates the estimating and bidding paperwork that keeps them from taking more jobs, starting with a vertical no general-purpose tool covers well.
Creates digital twins of buildings and data centers to autonomously optimize energy and cooling.
Traditional CFD simulations for building energy optimization take hours. Inviscid's physics-informed neural networks run in real time, producing physically accurate results that pure ML approaches cannot guarantee. The founders have PhD-level expertise in the exact technique.