Health and life sciences

AI for good: transforming mental health

Client
Brightside Health
Industry
Health and life sciences
01Client and problem

Machine learning for personalized mental health care had to scale while keeping patient data compliant.

02What CWX delivered

A HITRUST-compliant Google Cloud environment and an ML pipeline on Vertex AI, Kubeflow and KServe.

03What changed

A repeatable, compliant path from model development to deployment.

01

Highlights

Our solution showcases expertise in secure, compliant healthcare cloud solutions, including transformative ML pipelines. We migrated Brightside to Google Cloud, ensuring HiTrust compliance for their mental health data, positioning them to lead in personalized, scalable, compliant care.

02

The challenge

Brightside struggled to scale their ML operations to meet increasing demands for personalized care, while ensuring their infrastructure was both compliant and capable of supporting advanced workflows for their sensitive workloads.

03

The solution

CWX delivered a secure, cloud-native ML pipeline using Vertex AI. This solution leveraged Kubeflow Pipelines to orchestrate data flow, Kubeflow Notebooks for collaborative development of XG-Boost models, and CI/CD with KServe for streamlined deployments and robust model management.

04

The implementation process

CWX enabled Brightside to become a global leader in mental wellness by delivering personalized, compliant, and scalable care. Key solutions included a secure HiTrust-compliance Google Cloud environment with GKE, enhanced ML workload scalability, and fortified infrastructure to meet the highest data protection and compliance standards.