Real cases

Industrial AI in dairy and citrus plants

A plant that takes in raw milk in the morning and bulk oranges in the afternoon runs on two clocks at once. The milk clock starts at milking and forgives no lost window. The orange clock runs by season, with an intake peak that saturates the bay and the weighbridge for weeks. Between the two sit a process room that sterilizes, an evaporator that concentrates, and aseptic fillers that put thousands of packs an hour onto the pallet.

See the 12 cases, one by one ↓

Overview of a dairy and juice plant with four verification checkpoints from the raw milk tanker through the silos and the fillers to a pallet being loaded into an export container, with a manager holding a tablet

These plants do not have a hardware problem. They have bought process automation, plant control systems and automated warehouses. What they lack is the layer that captures what still lives on paper, in spreadsheets and on machine panels that talk to nobody: the line startup sheet, the tanker release, the lab analysis, the delivery note, the evidence behind a changeover from a lactose-containing reference to a lactose-free one. It is exactly what an inspector asks to see reconstructed, and exactly what is reconstructed by hand today.

On this page you will find twelve cases grounded in this sub-sector, grouped by the IRIS architecture component that solves them: Connect to capture what is lost today, Edge so the AI sees the line, and Agents so that memory becomes decision and dossier. Each case comes with its concrete problem, its step-by-step flow and a conservative return range, marked as an estimate to validate.

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See food industry