A warranty analysis is a time-consuming and tedious job unless there are proper tools.  In most organizations, the present state of analysis can be classified as 1G.  It is a good starting point but it is important to modernize to 2G. 


With the advent of the ORCA, began the 2G methodology.  The 2G methodology gives the user a different perspective.  It helps users solve problems related to in-service-failures, identify the root cause of high warranty costs, reduce warranty costs, maintain a high level of customer confidence in the market, and above all it happens in a short time.


The ORCA is very unique AI product for analyzing product failure data.  First, it is designed by keeping ease of operation, product manufacturers’ needs, and the product end users’ product perception in mind. Second, the ORCA prepares an executive report written in plain language to give a clear, action-oriented message.  Third, the ORCA makes recommendations on what needs to be fixed first. 


Quick, action-oriented, analysis by ORCA’s recommendation engine, shortens time to fix the issues thereby cutting the vicious cycle of increasing warranty claims by selling failure prone products in the market and increasing the claims further.


Pi Innovate team consists of experienced machine learning practitioners, data scientist, and developers.  We have expertise in manufacturing processes, computer vision, speech processing, and data sciences. Pi Innovate has developed algorithms, efficient computational methods and tools to accelerate software development.  Pi Innovate has expertise in mathematical modeling and extracting information empirically to build complete simulations. Our past experience includes developing a mathematical model for wind shear in aerospace industry, mathematical model development for tumor growth and chemotherapy, Vascular flow simulation model, environmental simulator for image algorithm testing, and Engine simulation on a Pratt & Whitney engine.  Our areas of expertise include:



  • Data analytics and machine learning

  • Computer Vision

  • Bio-metrics

  • Brain-Computer Interface

  • Image and signal processing

  • Driver Safety Systems Development

  • High-Performance Computing