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Remote Staff Augmentation and Dual-Platform App Development for Industrial Health Tech Expansion
  1. case
  2. Remote Staff Augmentation and Dual-Platform App Development for Industrial Health Tech Expansion

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Remote Staff Augmentation and Dual-Platform App Development for Industrial Health Tech Expansion

https://soltech.net
Health & Fitness
Manufacturing
Construction

Strategic Market Pivot and Engineering Capacity Gap

AMP requires urgent engineering support to transition from legacy customer bases to industrial clients while addressing talent attrition. The solution must maintain compatibility with existing Ruby on Rails infrastructure, enable remote collaboration, and deliver scalable features for musculoskeletal injury prevention analytics in physical labor environments.

About the Client

Health technology company specializing in workplace injury prevention and worker health management through data-driven software solutions for industrial workforces.

Core Project Goals

  • Conduct comprehensive tech stack audit and codebase optimization
  • Develop industrial-focused features for injury prevention analytics
  • Provide remote engineering team with Ruby on Rails expertise
  • Implement data aggregation and optimization workflows
  • Ensure seamless integration with existing mobile/web platforms

System Capabilities and Feature Set

  • Industrial injury prevention analytics dashboard
  • Mobile/web application synchronization framework
  • Worker biomechanics data aggregation engine
  • Legacy system data migration and cleanup module
  • Customizable rehabilitation progress tracking interface

Technology Stack Requirements

Ruby on Rails
React Native
AWS
PostgreSQL

System Integration Needs

  • Existing workforce management APIs
  • IoT wearable device data feeds
  • Enterprise HR systems

Operational Constraints

  • 24/7 system availability
  • HIPAA-compliant data handling
  • Horizontal scalability for enterprise clients
  • Sub-second API response times

Business Transformation Outcomes

Enables rapid industrial market penetration through optimized health analytics infrastructure, reduces development time-to-market by 40%, improves data processing efficiency by 65%, and establishes foundation for enterprise client acquisition while maintaining 99.9% system uptime during critical transition period.

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