Turning your data into better decisions.

Root Cause AnalysisInteractive AndonYield Prediction
The mechanism

Why Thinking Andon.

Andon structures data. We structure the thinking.

Today

Regular Andon

Data+Logic f(x)=Information
Information+Human thinking=A decision
Datastructured
Knowledgenot structured

The know-how stays in the engineer’s head, so the answer changes with whoever is on shift.

What we build

Thinking Andon

Data+Thinking Andon=A quality decision
The model holds
LogicAI Causal modelHuman query
Datastructured
Knowledgestructured

The know-how is written into the model, so the engineer reasons on it instead of on memory.

Our USP

We build the decision model — structured information + a dynamic causal model.

Weld station

Traditional AI vs Thinking Andon AI.

A shift lead, a production manager and a plant head each ask a factory system a question about the same failing weld station.

One electrode pass · 168 weldsAs the tip wears, more units fail →
Late-cycle loss

One shift. Three people ask the same factory system about it — a shift lead, a production manager, a plant head. Here is what each way of building the answer produces.

Shift lead → diagnosticProduction manager → root causePlant head → yield experiment
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Ready to put decisions first?

See how a causal engine — built on your own facts, process knowledge, and expert conversations — changes the decisions your team makes on the floor.