May 2025
Member Spotlight
In 2025, we will recognize one member each month, providing an organizational profile and highlighting the member's accomplishments in the smart energy space.
Bidgely is an energy intelligence company accelerating the clean energy transition by enabling utilities and consumers to make data-driven energy decisions that drive value on both sides of the meter.
The company’s patented AI data science platform gives utilities appliance-level, behind-the-meter insights into household energy use and its impact on the grid across time – no customer inputs or hardware required. Those insights then power a suite of customer engagement, grid planning and load management solutions to directly connect customer energy choices to grid outcomes.
Bidgely's UtilityAI™ Platform enables utilities to detect which customers have EVs, solar installations, or inefficient appliances, while also defining each customer's energy use patterns across devices. This allows utilities to hyper-personalize messaging with relevant insights and calls to action. For EV owners, for instance, messaging can be customized based on charger type, charging patterns, and whether they're enrolled in time-of-use (TOU) rate plans.
This is how the flywheel is set in motion: by delivering exceptional, personalized customer experiences that foster positive sentiment toward the utility and motivate active participation in supporting the grid.
Bidgely’s AI-enabled platform helps identify which customers own solar, electric vehicles and/or batteries, the type of EV chargers they use, and their charging patterns. UtilityAI™ provides a granular understanding of appliance-level energy consumption patterns for every individual customer on an hourly, daily and monthly basis to help utilities pinpoint those customers who have the greatest load shaping or shifting potential to alleviate grid constraints.
Bottom-up load aggregation of these "disaggregation-based BTM insights" further empowers utility teams to proactively identify where grid assets – transformers, feeders or substations – are likely to become stressed in the future.
With Bidgely’s AI-based disaggregation of BTM data, utilities not only gain access to energy usage by appliance, they can also identify specific appliance types – including EVs and gas vs. electric appliances – as well as consumption patterns that reveal whether an individual home consistently uses energy during peak hours or exhibits off-peak, low-load tendencies. Thus, utilities are able to better target program recruitment to the ideal customers for load shaping or shifting.
The synergistic benefit here is clear: because utilities have already leveraged disaggregation to deliver exceptional, hyper-personalized customer experiences, these target customers are primed to become willing participants in demand response programs.
If you would like to learn more about how Bidgely’s integrated approach to customer engagement, grid planning and load management can accelerate growth and resilience in your organization, reach out to their team to schedule a live demo.