ELIPSA AIoT ENGINE

PREDICT VALUES

Forecast future values to understand where your data is going

The ability to quickly and easily build a model opens numerous possibilities in terms of organizational use cases.  The Elipsa Platform is flexible enough to automatically deal with time-series data for metric forecasting while also being able to build predictive models on datasets for areas such as yield optimization.

SAMPLE USE CASE

YIELD PREDICTION

Air Quality Monitoring

Air Duct

Monitor whether air quality metrics such as Co2, will exceed unsafe levels in a defined amount of time.  Smart spaces can ensure the comfort and safety of occupants. 

Defect Detection

Engine Block Pressure Testing

Utilizing information such as machine settings and attributes of input materials, users can predict the output of their production processes.  Accurately predicting defects can help reduce costs, save time, and increase quality

Machine Monitoring

Heat Pump Service

With recorded examples of historical failures, users can build predictive models to predict future failures.  These predictions can enable companies to perform maintenance in order to avoid unforeseen downtime and keep machines running

44%

accuracy within 1%

95%

accuracy within 5%

100%

accuracy within 10%