Your plant's data becomes a living model that imagines thousands of futures — every few seconds — and steers toward the best one.
The autopilot recommends — your operator approves every move.
Sensors stream what the plant feels — every second, from every machine.
telemetry · vibration · flow · temperatureThe data is cleaned and fed into a living model that mirrors your plant.
digital twin · continuous calibrationThe model plays out thousands of possible futures in seconds.
simulation · scenario searchOnly the best path survives — safest, smoothest, highest output.
optimization within your constraintsThe move goes to your operator, who approves it before anything changes.
recommendation · human sign-offBoth lines live through the exact same ore and the same noise sample. The grey one is a good operator checking every few minutes. The gold one holds the plant with continuous micro-trims that damp that same noise, plus one setpoint move every time the loop above completes — watch the green pulse up there become a step down here. Time is compressed ≈60×: one minute on this chart ≈ one hour of a shift.
Illustrative animation — schematic, not client data. Figures shown: +6% and 435 vs 412 t/h: published in Brasil Mineral #441. ≈ US$781K/yr: projection from the test report if all feed were fresh rock (25-day AI-versus-manual test at Mineração Aurizona).
The 25-day AI-versus-manual test sustained +6% throughput (435 vs 412 t/h). Put your own production and value per tonne on the same uplift — then let a plant assessment evaluate what your process can support.
+6% is the published result of a 25-day test on a gold grinding circuit at Mineração Aurizona — a reference, not a promise for your process. Reference prices are illustrative; edit to your reality. Net value depends on your costs — the published case projected ≈$781K/yr net of AISC (fresh ore scenario, 2024).
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