Predictive Maintenance & OEE
We connect machine data, maintenance history, OEM specifications and production information to understand equipment health.
Using AI-powered analysis, we help identify abnormal machine behaviour, plan maintenance activities, investigate recurring failures and measure Overall Equipment Effectiveness (OEE).
“We understand machine problems only after they start affecting production.”
Does your business work this way?
Warning signs go unnoticed
Small changes in temperature, vibration or operating conditions are missed.
Machine performance declines
Cycle times increase and production efficiency drops.
Equipment breaks down
Production stops and maintenance teams investigate the failure.
Recovery takes longer
Spare parts, maintenance resources and production schedules are affected.
From breakdowns to planned uptime.
AI-Powered Predictive Maintenance
Analyse machine readings, operating history and fault patterns to identify abnormal conditions and potential failure indicators.
Failure risk rising
OEM Scheduling
Service intervals and inspections.
OEE Monitoring
Availability, performance and quality.
Spare Parts Planning
Parts availability and requirements.
Root-Cause Analysis
Investigate recurring failures.
How this engagement runs.
Collect
Capture machine data and operating conditions.
Analyse
Understand trends and abnormal behaviour.
Predict
Identify potential risks and maintenance indicators.
Improve
Plan maintenance and review equipment performance.
See machine performance at a glance.
Machine Performance Overview
- Line 2
- Shift A
- This week
- Illustrative
Availability
92%
Performance
86%
Quality
98%
Illustrative OEE
OEE = Availability × Performance × Quality. Example figures only, not actual customer data.
77.5%
From machine signals to connected decisions.
PLC · SCADA · Sensors
Machine signals and operating data
ASTR AI
Machine and production intelligence
Anvaya
Maintenance & inventory
Digital Twin
Equipment visualisation
ASTR Reporting
Performance analytics
What changes for your team.
- Fewer unplanned stoppages.
- One shared view of OEE losses.
- Maintenance planned, not rushed.
- Spares available when needed.
How We Build Your Maintenance Intelligence.
We start by understanding your business from the ground up, analysing existing workflows, identifying challenges and uncovering opportunities for improvement. We then design the solution architecture, review it with your team, gather feedback and approvals, and only then move into engineering, implementation and continuous improvement.
- 1
Understand your business
Step 01 · Discover
We start from the ground up, learning how your business really works today.
- 2
Analyse workflows
Step 02 · Analyse
We study existing workflows, identify challenges and uncover opportunities for improvement.
- 3
Design the architecture
Step 03 · Design
We design the solution architecture around your requirements and processes.
- 4
Review & approve
Step 04 · Align
We review the design with your team, gather feedback and get approval before we build.
- 5
Engineer & implement
Step 05 · Build
Development, integration, testing, deployment and onboarding.
- 6
Improve continuously
Step 06 · Evolve
We keep refining the solution as your operations and requirements evolve.
We don't build first and understand later. We understand first, design together and build what your business actually needs.
Book a DemoLet's talk about your operations.We Love Talking Tech and Business.
Whether you're ready to onboard or just exploring - drop us a message. We respond within one business day.
- info@trikaan.com
- Phone
- +91 90362 22022
- Office
- 657/23, 13 Cross, Asha Township, Doddagubbi, Hennur Road
Bengaluru, Karnataka 560077, India - Follow us