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Engineering Scalable ML & Backend Systems for Mental Health Innovation

CodeLink partnered with LUCID, an innovator in music and mental health, as an embedded team. We upgraded their backend services and ML model, establishing new technical standards to support their mission of empowering users through technology.

Automated Staging Environment Deployment

A new Terraform script was created to fully automate the deployment of a staging cluster for all services, enabling faster and more reliable testing.

Standardized Development Processes

New standards were successfully implemented for unit testing, local environment setup, performance checking, and service packaging across all ML and backend services.

Reusable Front-End Component System

A new component system was developed for the web, with elements designed for reuse across LUCID's future applications to accelerate development.

Enhanced DevOps & QA

System monitoring and quality checking were implemented across DevOps processes to ensure higher product quality and system stability.

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About the client

LUCID transforms music into medicine by bridging the gap between clinical neuroscience and personalization with a high-velocity Emotion AI engine. Through its flagship platform, Resonance Rx, the company delivers evidence-based digital therapeutics designed to alleviate agitation and anxiety in older adults, specifically those living with Alzheimer’s and dementia.

The challenge

LUCID's core challenge was the absence of standardized processes for their backend and Machine Learning services. This created inconsistencies in development, testing, and deployment, making it difficult to control product quality and maintain a predictable development lifecycle.

Lack of Technical Standardization
LUCID’s Machine Learning and backend services lacked standard, documented processes. This resulted in inconsistencies across the local development process, code testing, and deployment pipelines, which impacted overall product quality and stability.
Manual System Deployment & QA
Key infrastructure, like testing environments, required manual setup and deployment. Furthermore, there was a need for more robust system monitoring and quality assurance within the DevOps cycle to ensure service reliability.
Scaling Front-End Development
As LUCID planned to expand its application offerings, the existing web development approach was not scalable. The inability to reuse front-end components would slow down the creation of new apps and add complexity to maintenance.

Why CodeLink?

LUCID needed a technical partner with deep expertise in backend development, ML services, and server management. Our ability to provide a complete, end-to-end team from DevOps and backend to front-end and QA was critical for upgrading their product standards and implementing robust quality control.

The result

CodeLink successfully implemented new standards across LUCID's services and delivered a reusable component system for web applications. We also automated the deployment of a staging environment and enhanced system monitoring, providing a stable foundation for future innovation.

Standardized ML & Backend Services
We established and implemented clear, consistent standards for unit testing, local environment setup, performance checking, and service packaging. This ensures all current and future ML and backend services are developed and maintained with high quality.
Automated Staging & QA Monitoring
We delivered a Terraform script that automates the creation and deployment of a complete staging cluster for testing. This was enhanced with new system monitoring and quality-checking processes, improving the reliability of all deployments.
Scalable & Efficient UI Development
We created a system of reusable web components, each with its own data management mechanism. This allows LUCID to easily use the same components across multiple apps, dramatically speeding up development and ensuring brand consistency.

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