That breakdown in visibility and control is exactly what Atomiton was designed to address.
It tackles fragmentation through a unified, real-time platform that connects operational activity with resource consumption and environmental impact. The technology integrates data on energy, water, carbon, and assets into a system that reflects how businesses operate—across facilities, key processes, and assets. It provides clients with the visibility and insights needed to embed resource efficiency and sustainability into everyday decisions.
At the core of Atomiton’s offering is its immersive intelligence platform.
Rooted in the company’s expertise in real-time operational data, the platform reveals how resource use and environmental impact align with day-to-day business activities. It enables organizations to see the full picture by linking inputs like energy and water with outputs such as carbon emissions and waste, in the context of operational parameters. This empowers teams to identify the best ways to reduce costs while meeting sustainability goals with clarity and precision.
The platform features modular building blocks called “BOTs” (Business Operations Templates), which represent processes that consume or emit key resources such as electricity, fuel, and water. These BOTs feed into a hybrid reasoning engine that combines deterministic logic with generative AI to deliver intelligent recommendations at scale. A dynamic dashboard presents real-time metrics, enabling companies to identify inefficiencies, receive actionable suggestions, and forecast the impact of strategic decisions. Whether determining which process consumes the most energy or projecting how a shift to renewables might affect emissions, the platform transforms complex data into clear, actionable insights.
“What businesses gain from using our platform is the ability to reduce energy costs, uncover efficiency opportunities, and make measurable progress toward their carbon emissions and sustainability targets,” says Jane Ren, CEO.
One of Atomiton’s newest clients is a market-leading enterprise expanding its data center footprint to support in-house AI computing. Prior to Atomiton, the company relied on siloed monitoring tools that failed to align power, cooling, and environmental data. With Atomiton’s immersive intelligence platform, they now track power, temperature, humidity, and load by rack and zone, while also monitoring carbon intensity as their energy mix shifts hour by hour. In just three months, they reduced cooling energy consumption by 18 percent, aligned workloads with cleaner energy windows, and increased renewable energy use by 22 percent. The system flagged multiple early signs of thermal imbalance that had previously led to downtime. These improvements lowered operating costs while boosting reliability—critical as AI continues to drive up energy demand.
Atomiton aims to make sustainability intelligence a core part of daily operations. Manufacturing and data center clients are already experiencing the benefits. As demand grows for tools that connect resource use to business activity, other sectors are likely to follow. At its core, Atomiton believes that operational insight drives efficient and sustainable performance. Turning that belief into a working system has helped enterprises move faster, reach sustainability goals more effectively, and embed resource optimization into everyday decisions.
Thank you for Subscribing to Energy Business Review Weekly Brief
I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info