Everything the plant needs to stop guessing

From batch rheology to final grade, Treadum replaces spot checks and fixed recipes with continuous measurement, prediction and bounded correction — on the equipment you already run.

96 capabilities across 9 agentsOne genealogy recordOne audit log

Coverage across the plant

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See what the line is actually doing

Coverage first. You cannot control what you only sample.

Line-scan and area vision

Continuous surface inspection of tread, sidewall, innerliner and green tire for bare spots, folds, contamination and placement error.

X-ray fusion

Cord shift, cord spacing, belt edge and bead geometry read from X-ray and aligned with build evidence so the finding points at a station.

Shearography

Separation and bubble signatures fused with X-ray and thermal to raise confidence and cut false holds.

Thermal and cure sensing

Press temperature and pressure traces, mold thermal signature and post-cure surface thermal used for cure-state estimation.

Rheology and dispersion

Mixer energy, torque, temperature curve and downstream test data modeled into a live batch quality estimate instead of an end-of-batch lab wait.

Uniformity and balance

Radial and lateral force variation, conicity, ply steer and balance captured at grading and mapped back to upstream causes.

Close the loop, inside the envelope

Every control feature writes only through limits your engineers signed.

Adaptive mix control

Mix time, feed rates and energy target adjusted per batch against the compound spec instead of a fixed clock.

Gauge and profile control

Extrusion die and calender roll corrections that hold tread and sidewall gauge, width and profile through speed and temperature changes.

Splice and placement control

Drum tension, placement offset and index timing corrected per component with open-splice risk scored before the tire moves.

Adaptive cure

Dwell adapted to estimated cure state, batch rheology and mold history, with hard bounds and per-construction limits.

Robotic handling

Green-tire positioning, press load and unload and AGV routing sequenced under one motion plan with envelope-checked actions.

Takt and line balancing

WIP movement, mold allocation and cure sequencing solved together so the constraint sits where the plant wants it.

The parts that get better every week

Prediction, retrieval and memory are what turn a control system into an operations layer.

Grade before grading

Uniformity, cure escape and defect risk predicted from upstream evidence, so a bad tire is prevented at the drum rather than sorted at the end of the line.

Equipment health

Time-series prognostics on mixers, extruders, drums and presses surface drift before it becomes downtime or scrap.

Ask the plant a question

Grounded question answering over recipes, build and cure specs, standards and procedures, with citations on every answer.

The craft, captured

Per-plant yield and quality history plus per-builder and per-engineer performance memory preserve the judgement that retires with your senior builders.

Rare defects, on demand

Labeled synthetic variants of splice-open, bubble, separation, bare spot, cord shift and mold contamination, validated against real signatures before training use.

Try the change in software

Evaluate a construction, compound or schedule change against uniformity, quality, energy and takt before committing it to the floor.

What is included where

Cell licenses one workflow on one cell or line. Factory covers the whole plant loop. Enterprise adds multi-site and custom models.

What is included where
CapabilityCellFactoryEnterprise
Perception and defect sensingOne cell or lineWhole plantMulti-site
Adaptive control (mix, gauge, splice, cure)One workflowAll workflowsAll workflows
Uniformity prediction and grading link—IncludedIncluded
As-built tire digital twin—IncludedIncluded + custom constructions
Tire genealogy and traceabilityCell scopePlant scopeGroup scope
Custom compound and tolerance models—Add-onIncluded
Factory edge fleet managementSingle nodeSite fleetGroup fleet
SSO, SAML, SCIM and RBACBasicIncludedIncluded + custom roles
On-premises deployment—Add-onIncluded
Support and SLABusiness hours24/524/7 with named team

Full commercial terms are on the pricing page.

Traceability that answers the question in minutes

From one suspect tire to the exact population

Because every tire is linked to its compound batch, component rolls, builder, drum, press, mold, cure trace and inspection images, scoping a suspect population is a query — not a week of spreadsheet archaeology.

  • Forward and backward trace from any entity
  • Inspection imagery attached to the record
  • Export packages formatted for customer and regulator requests
treadum · genealogy trace
$ treadum trace --from batch 4468 --to grade
batch 4468 → 612 green tires → 598 cured → 594 graded
holds 14 (4 cord shift · 7 splice · 3 cure)
grade mix A 96.2% · B 3.1% · reject 0.7%
stations builders D-1..D-4 · presses 07,09,14 · molds 38,41
export recall-scope-4468.zip (evidence + images)

The daily rhythm on Treadum

01Shift startObjectives, envelope version and open escalations reviewed in one screen with the shift supervisor.
02Live runAgents act inside the envelope; holds and escalations surface at the station with the evidence attached.
03HandoverAutomatic shift report: yield, scrap, holds, overrides, energy and takt against target, with causes.
04Weekly reviewOverride reasons and model performance reviewed with process engineering; candidate release gated.
05QuarterlyEnvelope re-signed, objectives re-weighted, expansion scoped to the next cell or line.
  1. Shift start: Objectives, envelope version and open escalations reviewed in one screen with the shift supervisor.
  2. Live run: Agents act inside the envelope; holds and escalations surface at the station with the evidence attached.
  3. Handover: Automatic shift report: yield, scrap, holds, overrides, energy and takt against target, with causes.
  4. Weekly review: Override reasons and model performance reviewed with process engineering; candidate release gated.
  5. Quarterly: Envelope re-signed, objectives re-weighted, expansion scoped to the next cell or line.

Which features earn their keep first

“We had three people watching X-ray images and still shipped uniformity rejects. Treadum flagged the cord shift at the building drum, not four hours later at final inspection.”

Ilse VandermeerPlant Director, passenger radial plant [PLACEHOLDER]

“The cure agent found 40 seconds of margin on a construction we had run the same way for eleven years. It proved it in shadow mode before it touched a press.”

Rahul MenonPrincipal Process Engineer, truck & bus radial [PLACEHOLDER]

“Genealogy is the part I did not expect to care about. Every tire now has a linked record from batch to grade, and audit prep went from weeks to an afternoon.”

Camille DuarteQuality Systems Manager, IATF 16949 site [PLACEHOLDER]

[PLACEHOLDER] Design-partner quotes are illustrative until pilot references are published.

What features are held to

1–3 ptsFirst-pass yield lift targeted per wedge [ASPIRATIONAL]
5–15%Scrap reduction target [ASPIRATIONAL]
3–8%Cure energy reduction target [ASPIRATIONAL]
100%Tires with a linked genealogy record

Details plants ask about

Where a vendor exposes nothing, we read via frame grabber, file drop or direct sensor tap and write through your PLC layer rather than the machine. Some legacy assets stay read-only, and that is often enough for the wedge metric.

Yes. The mixing, extrusion, calendering, curing and inspection agents apply to hoses, belts, seals and technical rubber goods. Building, splice and uniformity are tire-specific.

Yes. Station views show the current call, the evidence and the action taken, with a one-key path to override. The plant console is the supervisor and engineering view.

More is better, but shadow mode does not depend on it. Perception features work from live streams; site-specific cure, rheology and uniformity models improve fastest with 12+ months of linked history. [ASPIRATIONAL]

Put one cell on autonomy in 90 days

Pick one wedge — splice inspection, X-ray defect detection, cure-state optimization or uniformity prediction. We baseline it, run shadow mode, then graduate to bounded autonomy under a signed control envelope.

Pilots start in shadow mode. No line changes until accuracy and safety gates pass.