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​​As a leading global medical technology, pharmaceutical diagnostics, and digital solutions innovator, enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications, and services, supported by its Edison intelligence platform. We are committed to fostering an inclusive culture of respect, transparency, and unyielding integrity.

Functional Area

The MR applications with intelligent software, devices and services are designed to enhance patient experience from their registration through until the results are available to their radiologists.  

These devices reduce patient misidentification via a Zero-Click Exam and a simplified workflow that automates the process from patient verification to image acquisition. It also delivers sharp detail and consistent performance, despite variations in exposure technique and challenging exam conditions. 

The imaging solutions cover a wide range of contrasts, 2D and 3D volumetric data & motion correction. 


The scope included Sub system level testing; Interoperability / Dicom standards 

Testing & Automation had to cover new product introductions; new model enhancements and the introduction of new features / functionality for Magnetic Resonance Device 

The scope also included significant data quality verifications. 

Problem Statement

Given the pace of development and rate of change, the team were constrained by the fact that they had to write the test cases manually, and changes to tests were difficult to track.  

The development time for test cases & automation scripts was excessively long and had to be significantly shorter, with higher levels of productivity. 

The team at GE faced problems with the existing vendors not being able to deliver some of the more complex automation scenarios. Additionally, there were consistent delivery issues that resulted sometimes in escalating costs, and at other times, in delayed deliveries.  

​​Algoshack Solution​

Algoshack proposed an Outcome based model that would allow a per test case based pricing that solved the problem of escalating costs and delivery timelines. 

Additionally, Algoshack leveraged GE’s Automation framework and deployed a trained team that was automation savvy and could resolve framework level challenges. 

Totally, 600 tests were to be automated in a period of 7 months. 

The completely remote (offshore) team automated tests that were previously considered non-automatable, leveraging virtual machines & simulators to build tests, and being dependent on devices only for validating the correctness of the built scripts. 

The team worked against month-on-month targets that allowed GE to control the cash flows and track returns. 


Linux / Python/ Squish


  • The Algoshack team exceeded the coverage set against business goals (month-on-month  targets completing 600 tests in 7 months 
  • Failure rate of scripts due to script errors in daily nightly runs was less than 1%, thus underscoring the resilience and stability of the automation scripts 
  • GE could get a direct insight into their spends and the outcomes on a monthly basis 

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