Our case studies

Learn more about the applications we have been developing and the gains we provide.

Predictive maintenance on machining equipment

The equipment was breaking down indefinitely, which was leading to downtime and expensive maintenance.
Through the analysis of data collected over a three-month period, we developed a real-time degradation indicator. The solution allows the simple identification of equipment that requires maintenance so that failures and unscheduled shutdowns are avoided.

Results:

50% reduction in equipment maintenance expenses

Increased equipment life-span from 4500 to 8000 hours

Reduced downtime

Reduced engineer monitoring time from 4 hours to 5 minutes

Estimation of casting temperature in Steel industry

Wide variation in the temperature of molten steel in the last stage of the process was causing accidents, shutdown and additional expenses with electricity and corrective maintenance.

Using historical data from steelmaking cycles, we developed a model based on artificial intelligence with precision in estimating the casting temperature of +/-5°C.

Results:

Increased safety

Energy saving

Reduced downtime

Estimated 4-month ROI

Quantification of oil leakage and supply in injection molding machines

The lack of information on oil leakage and supply was hiding information for decision-making and oil leakage impact.
From level measurements, we developed an application that identifies and quantifies the oil leakage and supply.


Results:

Eliminated the need for new sensors, which would cost 10 times the project price

More information for decision-making

Estimated 5-month ROI

Downhole pressure estimation

A certain pressure sensor is important in process control of offshore oil production platforms. This sensor is often unavailable due to the hostile environment in which it is installed.
Using historical process data and other available measures, we developed a solution able to estimate this pressure in real-time.


Results:

Better process control (closer to the optimum)

Increased oil production

Estimated 3-month ROI