endorsedCompleted

Enterprise AI-Enabled Frontend & Integration for Healthcare Startup

Services Covered:

Custom Software Development • UI/UX Design • Staff Augmentation

Industry

Information Technology

Duration

3 months

Budget

200K - 999K

Start Date

1 March 2020

Team Size

11-15 Employees

Engagement Model

Onshore

Project Capability Score (PCS)

75/100

Good

Project Capability Score (PCS) estimates how capable MAS Global Consulting 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

Blue Eye Soft

Durham, United States of America

Project Summary

MAS Global Consulting partnered with an innovation healthcare startup to visualize, design, and build an enterprise-level frontend integrated with AI models and backend systems. They selected Angular for the web frontend, implemented cross-cloud compatibility (AWS, Azure, Google Cloud), delivered POCs and PAC system integrations, and established CI/CD and automation for deployment and testing within a tight three-month timeline.

Key Challenges

Short timeframe to build an enterprise-ready frontend for healthcare providers during the COVID-19 pandemic
Need to operationalize and integrate deep-learning AI models from the University of Dayton into an enterprise product
Requirement to integrate with PAC (picture archiving and communication) systems and backend databases

Project Deliverables

Enterprise web frontend built with Angular
Project roadmap and UI/UX designs
Proofs of concept (POCs) for PAC system integration
CI/CD pipeline and deployment to AWS with GitHub integration
Automated registration and email logging using AWS services

Project Solution

MAS Global Consulting created the project roadmap, UI/UX designs, and developed the complete frontend using Angular while integrating the user-facing application with backend systems and databases. They implemented POCs for PAC systems integration, enabled continuous integration and automated deployments from GitHub to AWS, and automated registration and email logging using AWS services to support AI model workflows.

Project Outcome

High test coverage and automated CI/CD leading to reliable, repeatable builds and deployments
Automated build-and-deploy pipeline with versioning on GitHub and deployments to AWS
Delivered a production-ready, integrated enterprise frontend within the fixed three-month contract

Platforms

Web
Cloud

Tech Stack

Angular
Amazon Web Services (AWS)
REST API

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“MAS Global Consulting worked on a tight deadline and developed a quality product without much input. The team was communicative and helpful, taking the lead and matching the fast development pace required. They had a well-structured and technically skilled team, exceeding the client’s expectations.”
Madhav Enaganti
CTO
Date: 07/05/2021