Asset Intelligence Platform

Turning Asset Intelligence into Revenue & Uptime

Asset Intelligence transforms installed equipment into a continuously learning ecosystem that helps OEMs uncover aftermarket revenue opportunities and enables manufacturers to predict failures and prevent downtime.

The Foundation

What is Asset Intelligence?

Asset Intelligence converts equipment data into business value.

For OEMs, it reveals installed base insights that unlock aftermarket opportunities, improve service planning, and drive parts revenue.

For manufacturers, it enables predictive maintenance that reduces downtime, improves reliability, and protects production.

 
The outcome: smarter decisions, lower risk, and higher lifecycle returns.
For OEMs

Unlock aftermarket revenue by transforming installed base data into service opportunities, warranty intelligence, and predictive parts demand.

For Manufacturers

Maximize production uptime with predictive maintenance triggers, failure pattern learning, and AI-driven asset health scoring.

Impact

Business Value

Predict Failures Before They Happen
Strengthen OEM Service Models

Leverage equipment telemetry, historical failure modes, and real-world usage patterns to anticipate issues before they impact customers. Reduce warranty claims, improve service-level performance, and enhance brand trust through proactive support.

01

Optimize Maintenance Spend
Boost Manufacturing Throughput

Transition plants from fixed-interval maintenance to condition-based and predictive strategies. Minimize unnecessary service tasks, reduce spare-parts consumption, and keep production lines running at peak efficiency.

02

Improve Asset Lifecycle Value
Increase OEM Revenue & Customer ROI

Extend asset life through smarter maintenance interventions and optimized operating conditions. Enable OEMs to offer higher-value service contracts and performance-based maintenance models while helping manufacturers lower total cost of ownership.

03

Strengthen Safety & Reliability
Protect People and Production

Early detection of anomalies reduces the likelihood of equipment-related safety incidents. Improve reliability across fleets and production environments, supporting compliance and reducing costly unplanned downtime.

04

Audience

Who Benefits

OEMs

Grow aftermarket revenue
Plan proactive service interventions
Forecast parts demand more accurately
Build long-term customer loyalty through reliability
Manufacturers & Plant Operators
Maximize uptime and throughput
Reduce maintenance costs
Improve operational safety
Increase asset reliability
Product

Core Capabilities

Installed Base Visibility

Gain a clear view of where assets are, how they are used, and their current health status.

Run-Hour & Condition Monitoring

Track usage patterns and equipment condition in real time to detect abnormal behavior.

AI-Driven Maintenance Triggers

Automatically generate alerts and recommendations based on data trends.

Failure Pattern Learning

Leverage historical data and FMEA insights to continuously improve prediction accuracy.

Smart Parts & Service Recommendations

Recommend the right intervention, parts, and timing to minimize downtime.

Measured Impact from Asset Lifecycle Intelligence

Track and improve the metrics that matter: reliability, utilisation and cost.
+X%
Reduction in unplanned downtime
+X%
Improvement in OEE
+X%
Reduction in warranty cost
+X%
Months payback period
KPIs typically tracked include MTBF, MTTR, uptime, warranty cost per asset and service response time.

Frequently Asked Questions

What are the stages of Asset Lifecycle Management?

Typical stages include planning, acquisition, commissioning, operation, maintenance, renewal and disposal. Our platform helps you monitor and control each stage with data-driven insights.

CMMS and ERP systems record work orders and costs. Asset Lifecycle Intelligence focuses on performance signals, risk, warranty exposure and aftermarket opportunities on top of those systems.

Yes. Deployments can be on-premise or hybrid to meet your security, compliance and connectivity requirements.

We can integrate with common ERP, CMMS, historian and SCADA systems, as well as sensor and IoT data sources.
For a focused pilot, organisations usually see the first environment live within a few weeks, with broader rollout following once rules and views are tuned.

Ready to Take Control of Asset Performance?

Share a few details and we’ll show you what Asset Lifecycle Intelligence would look like for your assets.

  • No obligation or long presentations
  • Walkthrough based on your industry
  • Clear next steps and indicative ROI

Book my Asset Lifecycle session

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