SoloWhy

THE SOLOWHY ENGINE

The answer is only as good as the context behind it.

SoloWhy connects guided capture, your own knowledge, contextual case retrieval, and an optional analytics layer—without forcing a new way of working onto the floor.

FOUR CONNECTED LAYERS

A case becomes more useful at every step.

03

Many variables reveal the cases that matter

Match on context, not keywords

SoloWhy extracts many variables from every case, retrieves older situations with meaningful overlap, and asks the language model to judge their relevance. A five-year-old case can become useful again—not because one symptom matches, but because the surrounding conditions do.

Variable extractionSimilarity retrievalRelevance check

CONTEXT ENGINEERING

Same symptom. Different problem.

A car that will not start is not enough to call two cases similar. The useful match appears when more of the surrounding variables line up.

Current case

Won’t start
Rapid clicking
Cold shift start
Lights dim
Resolved cause

?

High-context match · 5 years ago

Won’t start
Rapid clicking
Cold shift start
Lights dim
Resolved cause

Battery connection

Relevance check: Multiple aligned variables give the language model evidence worth evaluating.

MEET THE FLOOR WHERE IT IS

One knowledge model. More than one way in.

Adoption should not depend on every operator learning a new interface on day one.

Guided conversation

Voice or text prompts draw out the useful detail naturally.

Structured quality entry

A familiar form, strengthened by quiet AI prompts in the background.

QUALITY ISSUE · LINE 4

Cap feed interruption

SymptomIntermittent feed stop
ConditionsAfter changeover · high humidity
Action triedGuide rail cleaned

ONE DETAIL WOULD IMPROVE THIS CASE

Did the line make a repeating sound before the stop?

OWNERSHIP & TRUST

Your cases remain your company’s knowledge.

Enterprise access

Protected with single sign-on and clear tenant boundaries.

EU-hosted

Hosted on Google Cloud in the EU and designed for GDPR compliance.

Private by design

SoloWhy cannot inspect which identifiable situation happened at which client.

Anonymous shared learning

Cross-company learning uses anonymized contextual patterns, never another client’s case record.

THE COMPOUNDING ADVANTAGE

Start small. Build the resource competitors cannot catch up to overnight.

The upfront investment is deliberately low. The deeper value compounds as recurring cases accumulate—often over six to twelve months. Waiting that long to start means entering the race that far behind.

01Now

Capture begins

Low-friction rollout. Every new case starts strengthening plant memory.

066 months

Patterns emerge

Recurring issues become visible across lines, shifts, and conditions.

1212 months

Knowledge changes outcomes

Better answers, stronger prioritization, and clearer client and ISO evidence.

MAKE THE NEXT CASE COUNT

See the workflow with one of your real problems.

Request demo