Bidgely Shows Energy AI for 50 Million Homes at Enlit Asia 2026

Bidgely will present its energy artificial intelligence solutions alongside regional energy leaders at Enlit Asia 2026, scheduled for 22 to 24 September in BSD City, Jakarta.

Headquartered in Los Altos, California, the company serves over 50 million homes globally and holds more than 19 foundational patents powering its UtilityAI platform.

Bidgely and its vice president for EMEA and APAC, Nipun Jain, will demonstrate how smart meter data analytics can be deployed directly or across cloud ecosystems such as AWS, Microsoft Azure, Snowflake, and Databricks.

Targeting Southeast Asian Power Loss

Power distributors across Southeast Asia face heavy revenue leakage from non-technical losses, primarily unmetered taps, meter tampering, and unrecorded commercial consumption. Traditional auditing relies on manual inspections across sprawling municipal feeder lines. It is a slow, expensive field process that leaves billions in lost revenue on distribution balances. Algorithmic anomaly detection cuts those inspections down to verified problem sites. That gives state-backed utilities in Indonesia, Malaysia, and the Philippines a faster return on their smart meter outlays.

Commercial property owners and industrial operators across the region will feel this operational shift directly. As utilities adopt granular meter-level intelligence, billing discrepancies become faster to audit and harder to contest. For enterprise consumers, appliance-level breakdown data clarifies peak-demand surcharges. Regional distributors also gain direct data to use when negotiating tariff structures and demand-response targets.

Cloud Platforms and Grid Strains

Growth across ASEAN follows Bidgely’s addition of regional executive teams in July 2026 and technical roadshows across North America and Europe earlier in the year. Rapid deployment of advanced metering systems across key ASEAN markets has generated vast troves of interval data. Local power authorities rarely process this information beyond standard monthly invoicing.

At Enlit Asia, we are showing how energy leaders are extracting value from this AMI data with AI/ML based big-data analytics, which turn interval data into concrete outcomes that remove bill shock, eliminate non-technical losses and build a resilient grid for the future.

Technical Sessions in Jakarta

Nipun Jain, vice president for EMEA and APAC at Bidgely, leads the regional delegation. Technical sessions scheduled for 22 and 23 September focus on feeder-level forecasting, battery asset visibility, and active grid layer management for distribution networks facing new consumer demand spikes.