It plans first
Every run starts with an objective and a list of steps, shown on screen before any evidence is gathered.

Study your plant like a research team would.
Research plans its own investigation, then runs it. It calls the other tools for plant evidence, reads the open internet for industry practice, and writes one report: the answer, what the plant shows, what the industry shows, where the evidence runs out, and what to do next.
MVPEvery figure above is counted in the minimum viable product: the amine train modelled for gas sweetening and post-combustion carbon capture.
What it does
Every run starts with an objective and a list of steps, shown on screen before any evidence is gathered.
Detect, Predict, Report, Log, Run, the recorded history and the plant knowledge base are called exactly as their own pages call them, so Research never disagrees with them.
Web search adds published practice and benchmarks, and every source is listed with its link.
The answer, the plant view, the industry view, the limits of the evidence, actions and next steps. Printable.
How it works
Choose Quick, Standard or Deep for how many steps the run may spend.
The objective and the steps are written first.
Each step calls one plant tool or the internet and keeps a short summary.
All evidence becomes one document, with its sources.
Where it applies
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.
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