Case Study: i GRID LAB achieves faster AI-driven renewable energy innovation with Amazon Web Services

i GRID LAB Builds AI-Controlled Platform for Excess Power with the Goal of Circulation Green Power Regionally on AWS

i GRID LAB needed a way to expand renewable energy use by building an AI-controlled platform for excess power and regional green power circulation. The company used Amazon Web Services to create the R.E.A.L. New Energy Platform foundation, aiming for faster development, high-speed data processing, and a scalable cloud setup.

With Amazon Web Services, i GRID LAB built a proof of concept in just 6 months and published its first results 1 month later. AWS services such as AWS IoT Greengrass, Amazon Timestream, and Amazon SageMaker helped unify cloud configurations, speed up releases, and support stable new features, positioning the platform for broader rollout across cities and partners.

i GRID LAB

Tetsu Iwasaki

LAB Director and CTO