UtilityAI Pro™ for Microsoft is a vertical AI platform that deploys Bidgely’s advanced machine learning models directly inside your own Microsoft Azure environment, transforming raw AMI, customer, and grid data into high-resolution appliance, customer, and network intelligence without data ever leaving your tenant.
Built on more than a decade of utility AI experience analyzing over a terabyte of AMI data every day, UtilityAI Pro delivers 10X greater granularity on meter and customer behavior. Pre-trained models infer detailed end-use loads, detect DERs, estimate customer income and lifestyle attributes, detect revenue loss and theft, and identify appliance inefficiency and degradation, enabling utilities to improve program ROI, grid reliability, and customer experience from a single foundation.
Microsoft-Native Deployment & Architecture
Azure-resident deployment: Containerized UtilityAI Pro models are deployed directly in your Microsoft Azure subscription so all processing occurs behind your firewall, satisfying strict data residency, sovereignty, and security requirements.
No data egress: Customer, AMI, and grid data remain in your tenant; UtilityAI Pro brings the models to your data, eliminating external data transfer and reducing IT security review friction.
Marketplace-ready packaging: Designed to be distributed via Microsoft and Azure-aligned marketplaces and procurement channels, enabling faster contracting and the ability to align usage with existing Azure commitments and cloud spend.- Appliance & DER disaggregation: Translates interval meter data into appliance-level consumption (HVAC, water heating, pool pumps, EV charging, solar, and more), providing a continuously updated behind-the-meter view for every customer.
Appliance attributes & efficiency: Identifies equipment type (e.g., electric vs. non-electric heating, L1 vs. L2 EV chargers, variable-speed vs. single-speed pool pumps) and flags degrading or inefficient appliances for targeted maintenance or replacement.
Customer lifestyle, income & propensity: Infers lifestyle segments, income proxies, and program or DER adoption propensity, enabling highly precise targeting for DSM, electrification, and affordability programs.
Revenue loss & theft detection: Surfaces anomalous load patterns and likely theft scenarios to protect revenue and prioritize field investigations.Microsoft-Aligned Use Cases
- Customer & CX: Feed UtilityAI Pro outputs into customer-facing Azure-hosted apps, web portals, and IVR systems to explain high bills, recommend programs and rates, and coach customers on appliance-level usage, reducing calls and improving satisfaction.
Energy efficiency & DSM: Precisely target high-impact customers for EE programs, income-eligible offerings, and daily load-shift initiatives by focusing on those with the greatest appliance-level savings potential or burden.
EVs, DERs & flexibility: Detect EVs and charger types from AMI data, identify solar and other DERs, and quantify flexible load to design managed charging, VPP, and DER-enabled grid programs.
Grid modernization & NWAs: Combine Azure-resident UtilityAI Pro outputs with GIS, SCADA, and outage data to understand root causes of constraints, evaluate NWAs, and prioritize grid investments based on behind-the-meter flexibility.
Regulatory, planning & reporting: Automate market potential studies, benefit-cost analyses, and measurement & verification (M&V) workflows using consistent, calibrated appliance-level metrics.AI Agents, Copilot & Analytics Integration
- Agent-ready data layer: UtilityAI Pro creates a trusted, appliance-level and customer-level data layer inside Azure that powers AI agents for DSM teams, grid planners, and customer operations.
Copilot and GenAI enablement: Model outputs can be surfaced through Microsoft Copilot and other Azure AI/GenAI services so agents and copilots can answer “why” questions (e.g., high bills, peak loading) with concrete, appliance-level evidence instead of generic tips.