CEAT Landing
Tire Manufacturing · India · 5 Plants · Data as of Jan 2026

PLANT RELIABILITY.

Equipment Faults + Process Anomalies

CEAT Tyres—one of India’s largest tire manufacturers—didn’t just digitize its operations. It closed the loop: from raw sensor signal to prescribed action to user-validated production outcome. Here’s what that looks like at scale.

0
Hrs Downtime
Eliminated

Unplanned. User-validated.

0
Hrs MTBF

199 critical assets monitored

0 %

Prediction Accuracy

Across 199 critical assets

All figures validated by CEAT's engineering & operations teams via PlantOS™ Prescription Engine
What's inside

FROM NOISE
TO OUTCOMES.

Blue line-art gear icon split by a zigzag lightning crack next to a triangular warning sign with an exclamation mark, representing mechanical fault detection, wear, and bearing degradation monitoring.

Mechanical Faults
Vibration, wear & bearing degradation

Physics + AI models detect gear mesh anomalies, backlash patterns, and lubrication failure before they cascade into downtime.

Blue line-art icon depicting an electrical spark or crossed lightning bolt symbol, representing electrical fault detection, motor overheating, and drive anomaly monitoring.

Electrical Faults
Motor overheating & drive anomalies

Temperature trend analysis at motor DE bearings surfaces cooling failures and load imbalances before they trip production.

Blue line-art gear icon with an exclamation mark inside and a cracked top tooth, representing process-induced faults, parameter drift, and production deviation monitoring.

Process Induced Faults
Parameter drift & quality deviation

Continuous monitoring across Inner Liner, Calendar, and Curing stages detects process shifts before they reach the next stage.

01

1850+ measurement points, One Single Source of Truth

How CEAT unified 51 areas, 199 critical assets, and 6 plants into a single contextualized source of truth — securing Lighthouse Certification.

Contextualization Layer
02

Physics + AI: precision that predictions can't match

PlantOS™ doesn't flag anomalies. It traces root cause — across mechanical, electrical, and process domains — with 99.81% accuracy.

Intelligence Layer
03

Diagnostic → Recommendation → Action 226

226 prescriptions acted upon. Real Diagnostic Reports with specific corrective steps — not dashboards, not alerts. Work orders that close.

Prescriptive Engine
04

Outcomes the plant's own engineers signed off on

2683 hours recovered. 5582.5 TPH production saved. MTBF extended to 3202 hrs. All figures from CEAT's own Engineering & Operations team.

Validated Outcomes

Prediction
≠
Outcomes.

Most AI deployments stop at the alert. They predict. They visualize. They dashboard. But prediction without a closed loop is just a more expensive alarm bell.

 

CEAT’s deployment with PlantOS™ proves the gap isn’t in the model — it’s in the mile between insight and action. The 99% Trust Loop™ is what bridges it.

Working with Infinite Uptime has empowered us to maximize reliability through their PlantOS™ platform. This partnership has elevated our operational performance to new heights.

Mr. Sushant Londhe

Head of Mechanical Engineering, CEAT Group Tyres