Bidgely to Present Energy AI Innovations at Enlit Asia 2026

Bidgely is set to bring its Energy AI platform to Enlit Asia 2026, one of the region's largest gatherings for utilities, regulators, and energy technology providers. The event takes place from September 22 to 24 in BSD City, Jakarta, Indonesia. Through technical sessions and panel discussions, Bidgely plans to demonstrate how artificial intelligence can transform raw smart meter data into practical, real-world results for utility operators.

A central theme of Bidgely's presence at the event will be its recognized behind-the-meter AI technology, which helps utilities extract more value from advanced metering infrastructure (AMI) data. This capability touches several core areas of utility operations, including customer engagement, grid planning, revenue protection, targeted program design, and broader data monetization strategies.

Rather than treating smart meter data as a tool solely for billing, Bidgely is encouraging utilities to use it as a foundation for actionable insight as data volumes continue to expand across the region.

Nipun Jain, Bidgely's VP for EMEA and APAC, noted that Southeast Asian utilities have built strong digital infrastructure through fast-moving AMI rollouts, generating a valuable stream of operational data. He explained that at Enlit Asia, the company intends to show how energy leaders are using AI and big-data analytics on this interval data to reduce bill shock, cut down on non-technical losses, and strengthen grid resilience for the future.

Improving Customer Value and Protecting Revenue

Bidgely's showcase will center on three main areas of focus. The first involves delivering clearer, more personalized energy insights to consumers. Unexpected spikes in electricity bills remain a leading driver of customer frustration, and Bidgely's technology addresses this by offering appliance-level breakdowns of household energy use.

This same data also benefits customer service teams, giving representatives more context to resolve complex billing or usage questions quickly. The result is faster, more informed support and a stronger overall customer experience, as consumption data is converted into meaningful, relevant interactions.

The second focus area is revenue protection. Non-technical losses, such as unauthorized use or meter tampering, remain a persistent issue for utilities across Southeast Asia. Bidgely's anomaly-detection algorithms analyze AMI data to flag irregular consumption patterns, replacing slower manual audits with more targeted investigation leads. This allows utility teams to direct resources toward higher-value cases while improving overall efficiency.

Strengthening Grid Intelligence for Modern Energy Networks

The third pillar of Bidgely's approach is advanced grid intelligence. As distributed energy resources like rooftop solar and electric vehicles become more common, distribution networks face greater unpredictability. Bidgely addresses this by building a bottom-up model of distribution assets, giving utilities clearer visibility into their networks.

With this insight, utilities can better assess transformer capacity, pinpoint stressed equipment, and identify opportunities for load shifting. These capabilities support smarter infrastructure planning, help defer large capital expenditures, and enable more efficient operational spending. In effect, Bidgely's Energy AI connects meter-level data to grid-wide operations, pushing utilities toward more data-driven decision-making.

Deployment Flexibility Across Cloud Environments

Recognizing that utilities across Southeast Asia have varying requirements around cloud infrastructure, security, and data governance, Bidgely offers multiple deployment paths for its UtilityAI™ platform. Utilities can choose a fully managed SaaS model or deploy the solution within their own preferred environment, including AWS, Microsoft Azure, Snowflake, or Databricks.

This flexibility allows utilities to build on existing technology investments while meeting internal IT and compliance requirements, all while accelerating their adoption of AI-driven analytics. By integrating directly with a utility's existing data infrastructure, UtilityAI™ is designed to help organizations get more value out of their AMI investments.

Bidgely's participation in Enlit Asia 2026 is expected to highlight these real-world applications, from improving customer engagement to protecting revenue and modernizing grid operations. As smart meter rollouts continue to expand across Southeast Asia, the volume of utility data will only grow, making advanced analytics increasingly central to how utilities plan for the future.

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