The same mathematical pipeline diagnoses any industrial machine: it measures its state and calculates the root cause, on live data. The same engine already closes the control loop in simulation — bringing it to a real asset in the field is the next step.
The full engine measures, diagnoses, evaluates and acts within the same closed loop, and it is mathematically verified. What we bring to an industrial pilot today is MEASURE + DIAGNOSE: the root cause, in seconds, on live data. EVALUATE and ACT — autonomous control — already work in simulation; deploying them on a real asset in the field is the next step, with industrial partners.
The green arrow is the key part: the system checks back on the outcome of its own decision, closing the cycle in simulation. It's the same mathematics we use today to diagnose — MEASURE and DIAGNOSE — while we prepare EVALUATE and ACT for their first deployment on a real asset.
Swap the motor, pump, or turbine; the method doesn't change. The same mathematical core already runs today across sectors as different as energy, water, aerospace, or HVAC.
Every result rests on a proof, not on a test that went well three times. It's deterministic: no models trained on data nobody can audit. The methodology is backed by four patents on file with the Spanish Patent and Trademark Office (OEPM).
Proven mathematically, with its conditions stated explicitly.
Verified numerically, including against published real-world data.
Validation on a live plant asset — the next step, with industrial partners.
Whenever a figure comes from simulation, we say so.
The same methodology, adapted to your sector and your asset.
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