The Problem:

FootprintIQ addresses the growing issue of rising electricity consumption, which significantly contributes to increased carbon emissions in large-scale manufacturing. Manufacturers currently lack the detailed, real-time data needed to optimize energy efficiency, relying instead on basic electricity bills and power meters, which do not provide insights into specific processes or machine-level energy use.

The Solution:

FootprintIQ provides an AI-powered carbon management platform that directly gathers data from sensors and systems in real-time. It calculates granular energy performance indicators for each machine and process, predicts inefficiencies, and offers actionable recommendations to reduce energy consumption. The platform also calculates the corresponding carbon footprint, which can be reported and published on relevant ESG registries.

The Differentiator:

FootprintIQ sets itself apart by offering an AI-powered carbon management solution that gathers real-time data directly from sensors and systems to compute granular energy indicators. This allows for precise measurement of energy performance and carbon emissions at the machine and process levels, enabling manufacturers to operationalize energy productivity as a metric and effectively reduce their carbon footprint.

Biggest Achievement:

The successful POC implementation with a manufacturer boasting over 1B in revenue from SEA, as well as completing the MSP stage (Minimum Sellable Product) to Leverage IoT sensors and AI for data capture & optimisation.