Manufacturing

A defect should never reach the dock.

TrustHouse ContextTalk links every raw material to every machine and every finished unit, so quality problems surface at the source rather than at the customer.

For

Plant, manufacturing, and quality leaders

The problem

Scrap, rework, and week-long root-cause audits

The outcome

First-time-right yield and repeatable golden batches

Who this is for

Plant managers, VPs of manufacturing and quality, and continuous-improvement leaders running high-mix, high-consequence production.

What is broken today

Margin bleeds into scrap and rework. Root-cause investigations take days of manual stitching across MES, ERP, and machine logs. By the time a defect pattern is understood, thousands of units have already shipped. Nothing threads raw material genealogy to the machine that introduced the flaw.

What teams ask

The questions your best people wish they could just ask.

Which raw material lot is behind the defect rate we started seeing on line three this week?
What separated our best-yielding run this quarter from our worst?

The unlock

ContextTalk maps your Material-to-Process semantic context layer, linking raw material genealogy to live machine telemetry. One question replaces a week of audits.

What this changes

Four shifts your operating model feels immediately.

01

Controlled access

Your plant floor answers questions without MES, ERP, and machine logs being opened up to a chat interface.

02

Speed to answer

One question replaces a week of cross-system investigation, on infrastructure you already own.

03

Governed lineage

Material genealogy becomes a governed data product with a trail you can trace.

04

Grounded answers

Every answer rests on your process data, so the model stops filling gaps with plausible guesses.

The language of your industry

A question asked in your language returns an answer in it.

Your teams already describe the work this way. ContextTalk maps each term to a semantic context layer.

Material-to-Process
The path from a raw material lot through every machine and process step that touched it.
Links material genealogy to live machine telemetry, so a defect traces back to its source lot in one question.
Golden Batch
The production run that hit target quality and yield, kept as the reference profile.
Holds the reference conditions and flags drift from them while the run is still moving.
Root-Cause Traceability
The evidence chain connecting a quality failure to the conditions that produced it.
Assembles that chain across MES, ERP, and machine logs instead of leaving it to manual investigation.
Stress-to-Lifecycle
The relationship between cumulative load on an asset and its remaining useful life.
Reads accumulated stress against asset history to call maintenance before failure.

What you get

Outcomes leaders sign for.

First-time-right yield

End the margin loss from scrap and manual audits.

Golden batch optimization

Replicate your best production runs on demand.

Predictive lifecycle maintenance

Fix the asset before it fails.

Capital asset lifecycle

Extend the working life of every machine.

Questions we get asked

Straight answers to the recurring ones.

Does this replace our MES or ERP?
No. ContextTalk reads from them under governance and leaves them in place.
What is a context engine?
A layer that holds the meaning of your business, its processes, terms, and relationships, so a question asked in your language returns an answer grounded in your data.
How is this different from a dashboard?
A dashboard answers the question it was built for. ContextTalk answers the question you have now, including the one nobody built a report for.

Manufacturing

Optimize your yield. Just ask.