KilnMetricFiring ledger

Ceramic manufacturing analytics

Learn from every firing cycle.

KilnMetric helps ceramic manufacturers connect firing records, material batches and inspection results to estimate defect risk, surface recurring patterns and track engineer-approved trials.

DryingPreheatPeakCooling300°600°900°1200°KB-304 cooled at 36 °C/min →0 min10 min20 min30 min40 min50 min58 min
Reference curve in cobalt; a fictional batch in ember. Two in eight tiles from it showed cracks at sorting.

Batch history

Every tile carries a history. Most plants keep it in five places.

Material lots live with stores, firing curves with the kiln controller, inspection results on the sorting line. KilnMetric joins them per batch, so a rejected batch can be traced back through every stage it passed.

  1. Raw material lot

    Clay L-77 · moisture 5.7%

  2. Pressing

    Body density, moisture

  3. Glazing

    Glaze G-12 · weight

  4. Firing

    Peak 1,151 °C · cooling 36 °C/min

  5. Inspection

    11.8% rejected · cracks 41

Defect-risk prediction

Know which batches deserve a closer look — before the sorting line.

KilnMetric estimates each batch’s defect risk from its material lot, pressed-body moisture and firing record, and shows exactly what pushed the estimate up. Engineers decide whether to hold a batch for extra inspection.

KB-309 · clay L-77 · glaze G-12 · fired Fri 8

18%

Why the estimate is high

  • Clay lot L-77+0.70
  • Faster cooling than usual+0.55
  • Pressed-body moisture above 5.5%+0.48
  • Peak temperature off target+0.15

Contributions to the model’s log-odds. Not yet inspected — this is a prediction, not a result.

Pattern analysis

Conditions that keep turning up beside rejected batches.

Clay lot L-77

9.4%with (3)
4.5%without (5)

Cooling faster than 33 °C/min

9.8%with (2)
5.2%without (6)

Pressed-body moisture above 6%

9.4%with (1)
5.9%without (7)

Peak more than 10 °C off target

5.2%with (1)
6.5%without (7)

Average rejection rate of inspected sample batches, with and without each condition. Small samples, and association is not chemistry — which is why the next step is a trial.

Trial tracking

Trials, not hunches.

When a pattern looks real, an engineer approves a controlled trial inside the approved process window — slower cooling on half the next batches, say — and KilnMetric compares the results with the control.

  1. Engineer states the hypothesis
  2. Setting stays inside the approved window
  3. Inspectors record control and trial results
  4. The finding is kept with the batch history
8.6%Controlcooling 34 °C/min
4.1%Trialcooling 28 °C/min
Illustrative trial result, for a proposed product.

How KilnMetric works with your engineers.

I

Engineers decide

KilnMetric estimates and explains. Holding a batch, opening an investigation or changing a process is a person’s call.

II

No automatic kiln control

It never changes setpoints or curves. Trials are approved by engineers and run by your team.

III

One product family first

Models start narrow, on your own historical records, and widen only when they hold up.

IV

Patterns get tested

Associations are labelled as associations until a controlled trial supports them.

Why it matters

The scale of ceramic production.

15.9bn m²
Ceramic tiles produced worldwide in 2023.Ceramic World Review / MECS–Acimac ↗
~60%
Approximate share of tile production energy used in firing — the most energy-intensive stage.TUC ↗
1,200–1,300°C
Typical tile firing temperatures; firing too cool or too briefly produces an inferior product.ArchiPro ↗

Published figures from the sources linked. They describe the industry, not KilnMetric results.

Who it’s for

For the people who answer to the sorting line.

Tile manufacturers

Wall and floor tile lines

Sanitaryware producers

Long cycles, costly rejects

Pottery factories

Many glazes, many curves

Ceramic process engineers

Evidence for every change

Organisation types are prospective customers; no affiliation is implied.

Pricing

Priced per kiln line.

Illustrative pricing for a proposed product, agreed with pilot plants.

Line

$1,100per kiln line / month

  • One product family
  • Batch history & risk scores
  • Pattern analysis
  • Trial tracking
Start a pilot

Plant

$3,200per plant / month

  • Up to 4 kiln lines
  • Multiple product families
  • Inspection note classification
  • Unlimited users
Start a pilot

Group

Custom

  • Multiple plants
  • Controller & MES integration
  • Shared pattern library
  • Dedicated support
Talk to us

Proposed platform

Built on AWS.

A proposed design. Nothing is connected to this website; the firing ledger runs in your browser on fictional data.

  • Amazon SageMaker AIDefect-risk models
  • Amazon BedrockClassifying inspection notes
  • Amazon S3Production datasets
  • Amazon DynamoDBBatch histories
  • AWS LambdaProcessing imported logs

Founders

The people behind KilnMetric.

OF

Founder & CEO

Olumide Fashola

Olumide has spent his career around kilns and sorting lines, and founded KilnMetric so that every rejected batch teaches the plant something. He leads product, customer partnerships and every pilot line.

AB

Co-founder

Amina Bello

Amina leads the analytics: connecting firing curves, material lots and inspection results, and building defect-risk models that engineers can question and test.

FAQ

Frequently asked questions.

What data does KilnMetric need?

Historical firing curves or controller logs, raw-material batch records and inspection results for one product family. Inspection notes can be free text.

Does it control the kiln?

No. It estimates risk and surfaces patterns. Engineers approve any trial or process change, and your team runs it.

How reliable are the risk estimates?

They start from your own records and are checked against inspection results. Every estimate shows what drove it, so engineers can question it.

Is KilnMetric live?

Not yet. It is a proposed product; the firing ledger is a prototype running in your browser on fictional data.

Pilot

Start with one product family and its history.

A pilot uses your historical firing logs, material batch records and inspection results for one product family. Your engineers check every pattern and risk estimate against what they already know before relying on anything.

Or write to olumide@kilnmetric.com — Olumide Fashola replies personally.

Nothing is sent until you confirm. See the privacy notice.