case-studies

Scaling Veterinary Imaging with AI & Microservices

Transforming a legacy veterinary imaging platform into a scalable, AI-powered solution through architecture modernization, performance optimization, and intelligent automation.

Executive Summary

A leading veterinary imaging company relied on a mission-critical platform to store, process, and manage complex radiological images. As adoption increased, the platform began experiencing server congestion, legacy technical debt, and declining performance that affected both users and business growth.

Multiplied joined the project initially as a frontend engineering partner but quickly expanded its role, taking ownership of architectural improvements, infrastructure optimization, and AI innovation. The result was a modernized platform capable of supporting future growth while introducing entirely new revenue opportunities.

The Challenge

The platform had become increasingly difficult to scale due to years of accumulated technical debt and tightly coupled services.

Key challenges included:

  • Frequent performance bottlenecks
  • Heavy server congestion
  • Legacy code affecting maintainability
  • Poor scalability
  • Manual diagnostic reporting workflows
  • Increasing infrastructure costs

The client needed more than additional development capacity. They needed engineering leadership capable of improving the entire platform.

Our Solution

Multiplied approached the engagement with a product ownership mindset, addressing architectural issues rather than isolated feature requests.

Platform Stabilization

Identified and resolved critical legacy defects to improve reliability and application stability.

Microservices Architecture

Separated resource-intensive background processes into independent services, dramatically reducing server load.

AI Voice-to-Text

Designed and implemented an AI-powered speech-to-text solution that enables veterinarians to dictate diagnostic reports directly inside the platform.

Performance Optimization

Improved overall application responsiveness while reducing infrastructure saturation.

Engineering Ownership

Provided proactive technical leadership focused on long-term scalability rather than short-term fixes.

Technologies Used

01

Core Technologies

ReactJavaScriptTypeScriptMicroservices
02

AI

Speech-to-TextAI-assisted Reporting
03

Architecture

Distributed ServicesServer OptimizationAPI Integrations
04

Engineering

Performance TuningPlatform ModernizationFrontend Engineering

Business Impact

The project delivered measurable improvements across both technical performance and business value.

Results

  • Eliminated infrastructure bottlenecks
  • Increased platform stability
  • Improved user experience
  • Introduced premium AI-powered reporting
  • Created new subscription revenue opportunities
  • Established a scalable architecture for future growth

Key Outcomes

  • AI-powered report generation
  • Higher application reliability
  • Reduced server saturation
  • Faster feature delivery
  • Modern microservices architecture
  • Future-ready platform

Why Multiplied

Multiplied became more than a development vendor. By combining deep technical expertise with product thinking, we identified architectural bottlenecks, modernized the platform, and introduced AI capabilities that directly generated new business value.

Ready to Modernize Your Software?

Whether you are modernizing legacy software, implementing AI, or scaling an enterprise platform, our engineering team can help transform technical challenges into competitive advantages.

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