VERTICAL AI FOR OUTCOMES

Prescriptive AI for Tire & Rubber Plants

 AI-driven prescriptive maintenance solutions to prevent downtime in Banbury Mixers, Extruders, Calenders, Curing Presses, and more.

Outcomes Delivered

33

Plants Digitalized
1,722

Breakdowns Avoided
7,508

Unplanned Downtime Hours Eliminated
*Note – Data as of June 03, 2026
 
Source – PlantOS™ Digital Reporting System –
User-validated True Positives & False Negative Rate

Prescriptive AI for Tire & Rubber plants turns equipment and process data into a single actionable work order. A predictive alert tells a plant operator that a Banbury mixer gearbox is trending toward failure, and leaves the diagnosis to them. A

PlantOS™

prescription tells them the fault, the fix, and the business outcomes – and arrives ready to convert into a work order. In a Tire & Rubber plant, that difference shows up on Banbury Mixers, Extruders, Calenders, Curing Presses: less unplanned downtime, more throughput, and lower cost/ton per asset.

Strategic Challenges

Beyond Predictive:
Why Tire & Rubber Plants Needs Prescriptive AI

Prescriptive AI is the output: the fault, the fix, and business outcomes. Vertical AI is the failure logic behind it, so a reading on an extruder motor
is judged against how extruder motor fails, not against a generic deviation threshold. Most Tire & Rubber Plants failures are not purely mechanical.

Banbury Mixer
Master Mixer
TSS Screw
TSS Calender gearbox
Dust Collecting Blower

Milling Section
Hold Mill
Feed Mill
Cracker Mill

Extruder
Duplex Extruder
Triplex Extruder
Quadraplex Extruder
Cushion Feed Extruder
Pork chop Extruder
Belt Extruder

Bead Construction
Bead Apex Extruder
Thread Applicator
Strip Winding Extruder

Inner Liner Calendering
Inner liner extruder
Inner Liner Roll

Fabric Cord Calendering
Pork chop Extruder
Calendar Hold Mill
Calendar Feed Mill
Calendar Rolls (4 roll section)
Cushion Calendar

Steel Belt Calendering

Steel Belt Cutting

Fabric Ply Cutting

Tyre Building

Curing & Inspection

01
Banbury Mixer

• Master Mixer
• TSS Screw
• TSS Calender gearbox
• Dust Collecting Blower

02
Milling Section

• Hold Mill
• Feed Mil
• Cracker Mill

03
Extruder

• Duplex Extruder
• Triplex Extruder
• Quadraplex Extruder
• Cushion Feed Extruder
• Pork chop Extruder
• Belt Extruder

04
Bead Construction

• Bead Apex Extruder
• Thread Applicator
• Strip Winding Extruder

05
Inner Liner Calendering

• Inner liner extruder
• Inner Liner Roll

06
Fabric Cord Calendering

• Pork chop Extruder
• Calendar Hold Mill
• Calendar Feed Mill
• Calendar Rolls (4 roll section)
• Cushion Calendar

07
Steel Belt Calendering

Proceed to next process step.

08
Steel Belt Cutting

Proceed to next process step.

09
Fabric Ply Cutting

Proceed to next process step.

10
Tyre Building

Proceed to next process step.

11
Curing & Inspection

Final inspection and completion.

PlantOS™ reads both signatures on the same asset, so the prescription names the mechanical fault and the process condition sustaining it.
Three outcomes follow: less downtime, more throughput, lower cost per tonne.

The PlantOS™ Difference

PlantOS™ goes beyond condition monitoring. It reads mechanical and process-induced fault signatures

on the same critical asset, then prescribes the specific intervention, at the specific time

Banbury Mixer


Extruders


Curing Presses


Calenders

Internal batch mixer combining rubber and compounding agents under high shear, heat, and rotor load.


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Screw extruders that shear, heat, and force rubber compound through a die to form tread, sidewall, and inner-liner profiles at precise dimension.


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Rotating mechanical presses and hydraulics vulcanising the green tire under heat and pressure.


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Precision multi-roll stacks that sheet, gauge, and coat rubber compound onto textile or steel-cord fabric under heat, tension, and continuous load.


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Internal batch mixer combining rubber and compounding agents under high shear, heat, and rotor load.

Request a Demo

Screw extruders that shear, heat, and force rubber compound through a die to form tread, sidewall, and inner-liner profiles at precise dimension.

Request a Demo

Rotating mechanical presses and hydraulics vulcanising the green tire under heat and pressure.


Request a Demo

Precision multi-roll stacks that sheet, gauge, and coat rubber compound onto textile or steel-cord fabric under heat, tension, and continuous load.


Request a Demo

 Our Customer Speaks

Mr. Sushant LondheHead of Mechanical
Engineering, CEAT Group TyresWorking with Infinite Uptime has empowered us to maximize reliability through their
PlantOS^TM platform. This partnership has
elevated our operational performance to
new heights.

View Case Study

Thank you for your interest in
PlantOS™ Prescriptive AI.

Enter your official work email to unlock specs delivering
3 outcomes in 1 prescription — zero guesswork.

[contact-form-7 id=”7646845″ title=”pdf downlaod case study of CEAT Semi Autonomous Snapshot”]

Mr. Carlos GuzmanBanbury Mixers Area Maintenance
Supervisor, Tornel, Mexico

PlantOS^TM has consistently been very helpful.
Its precise vibration alerts and clear prescriptive
recommendations, like the one for Gearbox 2 on
our Banbury mixer to make corrective
alignment, have enabled us to act quickly and
prevent major downtime.

View Case Study

Thank you for your interest in
PlantOS™ Prescriptive AI.

Enter your official work email to unlock specs delivering
3 outcomes in 1 prescription — zero guesswork.

[contact-form-7 id=”703315e” title=”pdf downlaod case study of MRF Semi Autonomous Snapshot”]

Let’s start with your most critical line.

Tell us the asset and we will show you what PlantOS™ reads on it.

30 minutes, no deck.

[contact-form-7 id=”812b747″ title=”Production Reliability for Tire Industry page”]

Process area	Asset	Mechanical fault signature	Process-induced fault signature	Outcome
Mixing	Banbury mixers, drop and feed mills, mixer drives	Rotor and gearbox bearing wear, drive misalignment, gear-mesh defects	Compound viscosity and thermal load raising drive torque and accelerating wear	Protects mix consistency and prevents scrapped batches
Extrusion	Duplex, triplex, and quadruplex extruders, tread and profile screw drives	Screw and barrel wear, gearbox faults, coupling looseness	Compound temperature and viscosity variation raising back-pressure against worn components	Reduces profile defects and extrusion scrap
Calendering	Roller head extruders, calender roll stacks, inner liner and multi-roll lines	Roll bearing wear, gear-mesh backlash, gearbox thermal rise	Gauge and tension drift, plus lubrication and cooling shortfall under sustained load	Protects sheet gauge and ply quality, avoids unplanned line stops
Curing	Curing presses, hydraulic systems, bladder and press mechanisms	Pump and valve wear, cylinder seal leakage, press mechanism wear	Cure recipe pressure and temperature drift compounding hydraulic loss	Prevents cure defects and press stoppage

In a tire plant, the mechanical fault and the process condition
driving it are usually the same event seen twice. PlantOS™ reads both.

What PlantOS™ Prescribes in a Tire Plant

Prescriptive AI for Tire Industry

Frequently Asked Questions

Common questions about prescriptive maintenance solutions in tire plants.

01
Why do tire plant failures get missed by conventional condition monitoring?

Because most of them are not purely mechanical. A Banbury mixer does not fail from bearing wear alone, it fails because compound viscosity and thermal load raise drive torque and accelerate that wear. Conventional condition monitoring reads the vibration signature and misses the process condition driving it, so the alert arrives late and without a cause.

02
What is Vertical AI, and how does it differ from generic industrial AI?

Generic industrial AI applies one anomaly model across every asset in every industry. Vertical AI is built for the equipment and process conditions of a single sector. Infinite Uptime’s PlantOS™ applies tire-specific failure logic through Dynamic FMEA, so a fault on a Banbury mixer drive is evaluated against how those drives actually fail under thermal and compound load, not against a generic deviation threshold.

03
How does PlantOS™ read process-induced faults as well as mechanical ones?

PlantOS™ analyses vibration, temperature, load, and process data from the same asset simultaneously, then correlates the two signature types. A rising drive-torque reading on a mixer is interpreted alongside compound temperature and batch conditions, which separates a genuine developing fault from a normal response to a process change. The prescription names the mechanical fault and the process condition sustaining it.

04
What is the difference between predictive and prescriptive maintenance in tire plants?

Predictive maintenance forecasts that an asset is likely to fail. Prescriptive maintenance states which asset, which fault, which corrective action, and by when. In practice the difference is workload: a predictive alert still needs a reliability engineer to diagnose and decide, whereas a PlantOS™ prescription arrives already diagnosed and ready to convert into a work order. At Tornel, PlantOS™ prescribed a corrective alignment on Banbury mixer Gearbox 2 that let the team act before it caused major downtime.

05
Which tire plant assets does PlantOS™ cover?

PlantOS™ covers the full plant, matched to how critical each asset is. Your production-critical assets, the extruders and Banbury mixers where a failure stops the line, are covered by AI Shields, the deep-domain models built for exactly those machines. Standard and critical rotating equipment across mixing, milling, calendering, and curing is covered through wired and wireless sensing, piezoelectric or MEMS, so you match coverage to the asset and the budget. And balance-of-plant equipment, the chillers, cooling pumps, and fans, is covered by the self-powered, wireless InfiSense 3XT with no gateways or cabling.

06
What outcomes can a tire plant expect from PlantOS™?

Three, delivered together: reduced unplanned downtime, higher throughput on the lines carrying output, and fewer rejects through earlier detection of the faults that cause cure and profile defects. Across deployments, PlantOS™ has digitalised 33 plants, prevented 1,722 equipment breakdowns, and eliminated 7,508 hours of unplanned downtime as of June 2026, per the PlantOS™ Digital Reporting System.

07
How does a prescription reach the maintenance team?

Each prescription carries the asset, the fault, the recommended action, and the timeframe, and is delivered to the maintenance team on the dashboard, email, and mobile for work order creation and digital sign-off. Execution and outcome are logged, and validated outcomes feed back into the models through the 99% Trust Loop.

08
Does PlantOS™ require replacing existing systems or sensors?

No. PlantOS™ integrates with the infrastructure already in the plant, unifying data from PLCs, DCS historians, and installed sensors alongside its own hardware where additional coverage is needed. Prescriptions are delivered into the existing maintenance workflow, so the plant gains process context on its critical assets without a rip and replace programme.

09
How does PlantOS™ help reduce rejects and scrap in tire manufacturing?

Many tire defects trace back to a process or equipment deviation that condition monitoring alone does not connect: a mixer running hot, an extruder screw wearing, a curing press drifting off recipe. PlantOS™ reads the mechanical and process signatures together and prescribes the correction before the deviation reaches the product, which reduces cure and profile defects and the scrap they generate.

10
Which tire companies use Vertical AI for maintenance?

CEAT, Tornel, and MRF are among the tire producers using PlantOS™ for prescriptive maintenance. At Tornel in Mexico, PlantOS™ vibration alerts and prescriptive recommendations, including a corrective alignment on a Banbury mixer gearbox, have enabled the team to act early and prevent major downtime.