EndorsedendorsedOngoing

DXRX — Cloud-based Diagnostic Network Platform for Precision Medicine

Services Covered:

Custom Software DevelopmentCloud Consulting and ServicesSoftware QA and TestingDevOps
Project hero — replace with case study imagery
Industry
Industry

Pharmaceuticals & Biotechnology

Duration
Duration

77 months

Budget
Budget

200K - 999K

Client Size
Start Date

1 March 2020

Team Size
Team Size

11-15 Employees

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
69/100
Good

Project Capability Score (PCS) estimates how capable Digiteum 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

Diaceutics

mapBelfast, United Kingdom

Project Summary

Digiteum built DXRX, a cloud-based diagnostic network platform for precision medicine, leveraging AWS and multiple languages/frameworks to deliver a secure, API- and microservices-driven SaaS marketplace. They provided frontend and backend development, DevOps/CI-CD, QA, and data engineering support, helping launch the platform on time and on budget. The client reported strong market feedback and praised Digiteum’s integration into their team despite remote work.

Key Challenges

  • Needed to shift from consulting to a scalable SaaS marketplace for precision medicine
  • Build DXRX within a tight timeline (under a year) while managing costs and ensuring high quality
  • Architect a secure, API- and microservices-driven platform that integrates third-party SaaS/IAM systems
  • Ramp up and supplement the development team, coordinating remote personnel across multiple countries and suppliers

Project Deliverables

  • Cloud-based (AWS) DXRX platform
  • Microservices and API-focused backend
  • Frontend (AngularJS) and backend components
  • Complex ETL pipeline for big data
  • CI/CD and DevOps pipelines
  • Test/QA deliverables
  • Integrations with third-party SaaS/IAM systems
  • Project management and dedicated data engineering resources

Project Solution

Digiteum contributed frontend and backend engineering, test/QA, DevOps, and data engineering to build DXRX on AWS. The team implemented microservices and API-focused architectures using Java, Python/Django and AngularJS, developed a complex ETL pipeline to handle large diagnostic datasets, integrated third-party SaaS/IAM systems, and established CI/CD and deployment pipelines. Work was coordinated remotely with multiple suppliers and launched in October 2020.

Project Outcome

  • Launched DXRX on time (October 2020) after an 8-month delivery period
  • Positive customer and market feedback on DXRX
  • Achieved product delivery at reasonable cost and high quality
  • Successful collaboration across multiple suppliers and five countries

Platforms

  • SaaSSaaS
  • WebWeb

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • JavaJava
  • PythonPython
  • DjangoDjango
  • AngularJSAngularJS
  • SpringSpring
  • REST APIREST API

Client Endorsement

Overall Review Rating

4.5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Despite the remote work setup, Digiteum was able to work well with the internal teams of the company. They upheld excellent communication and team spirit. The team utilized their technical skillset to deliver a high-quality product on a tight deadline.

Ryan Keeling

CIO

Note: This endorsement is based on publicly available client feedback from external review sources.

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