
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.


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.
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.
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.
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.
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