We build software that connects bakeries, mills, cold storage, and processing facilities into networks that forecast demand, optimise power allocation, and sustain margins—bringing stability to brutal energy constraints.
Learns bakery, mill, and processing patterns. Forecasts energy needs hours ahead—oven preheat, fermentation time, cold chain demands—enabling schedule optimisation.
Allocates grid power, diesel, and renewables across facilities. Shifts production timing to match cheap power windows. Eliminates wasteful peak diesel hours.
Connects multiple bakeries, mills, cold storage. Enables demand shifting across sites, collective power contracts, and shared renewable capacity planning.
Food manufacturers in emerging nations face brutal energy realities. Grid supply is unreliable—10 to 15 hours of daily power cuts are standard. Diesel backup is expensive (3-5x grid cost) and poorly coordinated. Production scheduling ignores energy constraints. Demand forecasting doesn't exist. And worst of all: bakeries, mills, and cold storage facilities can't coordinate energy procurement or sharing because there's no visibility into what competitors or partners need.
Underscore's platform solves this at the software layer. We don't sell generators. We build intelligence that turns fragmented production data into coordinated energy action. The system learns bakery firing patterns, mill motor cycles, and cold chain demand. It predicts energy requirements hours ahead. It optimises allocation across grid, diesel, and renewable sources. It enables networks of facilities to coordinate demand shifting and collective power contracts. It doesn't eliminate constraints—it absorbs them, adapts to them, and finds workable solutions that sustain margins.
Our platform is software that works within operational reality. It's designed for the constraints that actually destroy food manufacturer margins.
Our targets reflect the actual constraints: intermittent grid power, expensive diesel, fragmented operations, and the need for immediate adaptation.
Optimising grid/diesel allocation and enabling demand shifting reduces fuel expenditure significantly.
Historical patterns enable the platform to forecast energy needs hours or days ahead with high accuracy.
When grid schedules change or demand spikes unexpectedly, the platform recalculates and adapts within hours.
Whether you're managing energy costs or investing in emerging markets, there's a path for you.
Managing energy costs crushing your margins? Grid cuts destroying your schedule? Let's talk about how energy coordination can transform your operations.
Book a consultationSeeing the opportunity in industrial energy coordination for emerging markets? Want to explore partnership or investment opportunities with us?
Get in touchWe're seeking exceptional engineers, data scientists, and systems thinkers to build the energy coordination platform for food manufacturers.
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