Vortexify

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Root Cause Analysis/Statistical Process Control

Catch drift before it becomes scrap.

Out-of-control processes don't announce themselves — they trend quietly past the warning zone until the quality check catches them too late. Vortexify plots your process data against control limits in real time, flags the moment a signal trends out of spec, and puts it in front of the right engineer while there's still time to correct it.

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IndustryManufacturing · Process
End usersQuality engineers · Process technicians
Connects toHistorian · SCADA · MES
Statistical Process ControlLine 7 · Bore Diameter
Process
ID 12.0mmBore tolerance ±0.5
Samples
16this shift
Violations
1above UCL
Warnings
5in warning zone
UCL12.48UWL12.32CL12LWL11.68LCL11.52!06:0007:0008:0009:00
Sample #1008:1512.51 mm⚠ Out of controlDeviation: +0.51mm from CL
X̄-chart · σ=0.16 · Subgroup n=5 · Historian feed
Live

From your systems to a deployed app.

Connect your source

Point Vortexify at the systems you already run on — no pipelines to build.

Put this process measurement on a control chart and flag any out-of-control points.

Describe the app

Say what the operation needs in plain language. Vortexify reads your live data and assembles the app to match.

app.vortexify.ai/statistical-process-controlLive
Statistical Process ControlLine 7 · Bore Diameter
Process
ID 12.0mmBore tolerance ±0.5
Samples
16this shift
Violations
1above UCL
Warnings
5in warning zone
UCL12.48UWL12.32CL12LWL11.68LCL11.52!06:0007:0008:0009:00
Sample #1008:1512.51 mm⚠ Out of controlDeviation: +0.51mm from CL
X̄-chart · σ=0.16 · Subgroup n=5 · Historian feed
Live

Deploy to your team

Ship it to operators in minutes. It stays current as your data changes — no rebuild, no maintenance window.

The first AI builder that writes and runs your backend — not just the frontend.