Kalypso acquired by Rockwell Automation, Inc. (NYSE: ROK). Read the press release.

Increase reliability, performance and uptime of heavy industry assets

Machinery and heavy industry assets are the powerhouses of productivity and performance for their operations. We rely on them to produce our energy, our fuel and even the materials that build our cities. But, when they falter, the results can range from severe to catastrophic.

In the last 50 years, industries have made attempts to address asset uptime and performance but maintenance today is still predominantly at a reactive or preventative level of maturity. And, unplanned downtime can cost heavy industry 5 to 20% of their productive capacity.

We help our clients increase reliability of physical assets and reduce downtime by leveraging industrial artificial intelligence (AI), data science and predictive maintenance.

Asset Performance Management Benefits

Asset performance management pairs industrial AI with predictive maintenance strategies to deliver real-time insights on asset performance and predict health issues before they arise. In an asset-intensive enterprise, asset performance management can profoundly improve asset performance, minimize risk and reduce total life cycle costs.

30+% increase in asset utilization

25-30% decrease in downtime events

15-30% reduction in maintenance costs

40-50% increase in labor productivity

How We Help Clients with Asset Performance Management

We help clients enable predictive maintenance with industrial AI analytics with a proven four-step approach.

Analyze Current State

Determine baseline reliability for system under consideration

Assess historical performance data, maintenance records, failure data, etc.

Define Future State

Define target system reliability

Identify low reliability components and corresponding fault modes

Evaluate Economic Impact

Identify use cases that provide the most value through use of industrial AI

Conduct economic value assessment

Confirm Technical Feasibility

Develop data-driven models based on failure data

Demonstrate improvements with machine learning models

Deploy to production environment

Monitor, evaluate and readjust as needed

Asset Performance Management Case Studies

Oiland Gas SCO
As the global demand for oil rises, the US shale industry can leverage smart connected operations – enabled by digital technologies – to deliver operational excellence in field operations. Here's an example.

Let's Get Started

We can help you reduce downtime with asset performance management.

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