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68.6 billion

U.S. Energy Storage Market Size in 2023


Compound Annual Growth Rate (CAGR) Market for Energy Storage

249 billion

2032 Market Value Projection



TensorIoT's cutting-edge generative AI solution empowers FlexGen to streamline ModBus register mapping, driving operational agility and seamless integration for their global energy storage deployments.


How can we achieve seamless integration of new battery suppliers while rapidly adapting to evolving mapping requirements?


The AI-powered approach reduces the time for ModBus mapping from days to seconds. FlexGen can now expedite system configurations, reallocate skilled resources to higher-value tasks, and gain a competitive edge through AI-driven operational efficiencies.


FlexGen, a leading global provider of energy storage solutions and management software, faced challenges in configuring control systems due to multiple battery suppliers and frequent mapping updates. Manually performing ModBus register mapping was a time-consuming and resource-intensive process.

The Challenge

With new battery suppliers continually emerging and existing suppliers updating their mappings once or twice annually, FlexGen sought to streamline the mapping process. Inefficiencies in system configurations led to operational delays, hindering FlexGen's ability to rapidly deploy energy storage projects integrated with traditional and renewable power generation worldwide.

The Solution

TensorIoT collaborated with FlexGen to develop an AI-driven solution that automates ModBus register mapping. Leveraging large language models (LLMs) and a dynamic parsing workflow, the solution extracts register data from structured formats like CSV and XLSX, unifies the data, and generates formatted JSON register maps compatible with FlexGen's systems. This AI-powered approach eliminates manual effort, reduces costs, and accelerates system integration, delivering cost savings and increased responsiveness.

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