Food manufacturing expertise
We understand bakeries, mills, and cold storage. Energy constraints, production schedules, equipment variability. Our platform is built for real food manufacturer problems.
In emerging markets where grids fail 10-15 hours daily and diesel costs crush margins, we deliver systems that forecast demand, optimise energy, and coordinate networks at scale.
Every bakery, mill, and cold storage facility is unique. Energy constraints, equipment types, production schedules and local grids all vary wildly. And none of that changes just because you want to scale to multiple regions. At Underscore we transform that variability into a unified, programmable environment. We treat food manufacturing energy as a system of physical machines, compute nodes, demand signals and data flows—not a series of isolated facilities.
You're not just managing a single bakery or mill. You're joining a network where hardware, software and learning cycles work together to sustain margins.
Bakeries, mills, and cold storage facilities embedded with sensors and local compute that monitor energy consumption, production patterns, and grid status. These sensors run even when connectivity fails. They make energy data programmable and real-time.
Our control engine links all facilities into a coordinated network. It forecasts energy demand hours ahead, allocates grid and diesel efficiently, schedules production around power availability, and manages multi-facility coordination in real-time. It learns from every facility's performance.
Each facility deployment feeds energy data back into the system. Bakery patterns improve mill forecasting. Cold chain demand informs facility networks. Over time the network becomes self-optimising across regions: fewer failed production schedules, lower diesel consumption, faster margin improvement. Data becomes competitive advantage.
We scale differently because we own the technology and understand food manufacturer constraints. Our playbook:
We partner with food manufacturers (bakeries, mills, cold storage) to prove the model with real energy data and operational conditions.
We harden the platform for food manufacturing, optimise for grid constraints, build playbooks and operational guides for replication.
We license the platform to food manufacturer groups and operators. They invest in sensors and implementation; we supply software, optimisation, and continuous learning. Network effects accelerate across regions.
The competitive advantages that make Underscore the platform for food manufacturer energy coordination in emerging markets.
We understand bakeries, mills, and cold storage. Energy constraints, production schedules, equipment variability. Our platform is built for real food manufacturer problems.
Sensors compute locally when grid fails; when it returns, they sync. 10-15 hour power cuts don't destroy operations. Energy coordination continues through blackouts.
Each facility's energy patterns improve the entire network. Bakery data optimises mills. Scaling from one region to fifty doesn't mean fifty times the operational overhead.
We absorb software and integration risk. Food manufacturers invest in sensors; we provide platform, optimisation, and continuous improvement. ROI comes from margin recovery, not infrastructure capex.
When you partner with us, you get:
Your reward: reduced diesel costs, protected margins, production reliability through grid cuts, and competitive advantage from energy coordination.
The Three Layers aren't abstractions—they're realised through sensors embedded in food manufacturing facilities. They monitor energy in real-time. They're resilient to the grid failures that define emerging markets.
A facility sensor is a software abstraction that makes energy data programmable at any scale—integrating with whatever equipment you already have, whether it's legacy generators from decades ago or brand new smart meters. Bakery ovens, mill motors, cold chain compressors. All can be monitored and coordinated.
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