endorsedCompleted

Custom Android Application for MSD Animal Health

Services Covered:

Software QA and Testing

Industry

Pharmaceuticals & Biotechnology

13 months

Budget

50K - 199K

Start Date

1 January 2023

Team Size

1-5

Engagement Model

Offshore

Project Capability Score (PCS)

74/100

Good

Project Capability Score (PCS) estimates how capable Elinext is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

MSD Animal Health Technology Labs

Netanya, Israel

Project Summary

Elinext provided software testing services to an animal health technology lab, delivering MATLAB unit and integration tests, automated validation for cattle sensor data, and a MATLAB/Python reporting bridge. Their work improved sensor data accuracy and sped up machine-learning model iteration while reducing manual verification. The vendor-managed project communication virtually and delivered actionable results without requiring micromanagement.

Key Challenges

Validate large volumes of cattle sensor data
Ensure machine-learning algorithms ran reliably
Automate testing across MATLAB and Python environments
Accelerate model iteration cycles for faster updates
Improve early-warning detection accuracy and reduce manual verification

Project Deliverables

MATLAB unit and integration tests
Automated sensor-data validation
MATLAB/Python reporting bridge
Scalable solution for future machine-learning models

Project Solution

Elinext performed MATLAB unit and integration testing, implemented automated validation for cattle sensor data, and built a MATLAB/Python reporting bridge. The deliverables were designed to be scalable to support future machine-learning models and to reduce manual verification efforts.

Project Outcome

35% improvement in data accuracy for sensor inputs
50% reduction in manual verification
30% faster machine-learning model updates
Smooth project management without need for micromanagement
Delivered actionable results without overcomplication

Platforms

Tech Stack

Python
Matlab

Client Endorsement

Overall Review Rating

4.5

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Elinext's work led to improved data accuracy by 35% for sensor inputs, a 50% reduction in verification, and a 30% increase in machine learning model update speed. The team managed the project well, keeping things moving smoothly without requiring micromanagement and delivering actionable results.”
Anonymous
Algorithms Group Manager
Date: 03/25/2026