Now live: a hybrid process digital twin for amine gas sweetening — it names the fault and the root cause, not just the alarm. Explore the platform →

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Solutions

One calibrated model. Seven ways to use it.

Everything here runs on the same reference model of a real amine train. Detect, Prognose and Discover are not separate products bolted together — they are three readings of one physics engine, and that is why their answers agree with each other.

5Live in the platform
2In development
22Named faults diagnosed
1Physics model behind all of it

In development

Next, and honestly labelled as next.

Both reuse the model and the fault library that already exist. Neither is shipping today, and neither carries a published date.

Where it applies

Built for amine systems today. Not limited to them by design.

The platform is focused on acid gas removal — gas sweetening and post-combustion carbon capture — because that is where the model is calibrated and where the fault library is real. The method underneath is not amine-specific: a physics reference model, residuals against expected-healthy, fuzzy diagnosis over graded indicators, and costed consequences. Extending it to another unit means new datasheets and a new calibration, not a new platform.

  • Gas sweeteningLive today
  • Post-combustion carbon captureLive today
  • Other acid gas removalMethod applies
  • Wider process unitsFuture

The fastest way to judge this is to open it.

The platform runs on a real amine train with thirteen days of one-minute history behind it. Nothing on these pages is a mock-up.

Open the platform