CWX
Let's talk
Health and life sciences

Moving Rad AI's radiology platform from AWS to Google Cloud

Client
Rad AI
Industry
Health and life sciences
Discuss a similar project
01Client and problem

Rapid growth needed a secure, HIPAA-compliant platform for AI-powered radiology.

02What CWX delivered

Migration from AWS to Google Cloud, with applications refactored for HIPAA compliance and GPU capacity for model training.

03What changed

Rad AI’s platform now runs on Google Cloud, refactored for HIPAA compliance, with the GPU capacity its model training needs.

01

Highlights

Rad AI worked with CWX to move its radiology platform from AWS to Google Cloud. CWX refactored the applications for HIPAA compliance and added the GPU capacity its model training needs.

02

The challenge

Rad AI needed a scalable, secure cloud platform to support their rapid growth and AI/ML innovations. They also sought to comply with stringent healthcare standards, including HIPAA, while ensuring seamless migration and integration from AWS to GCP.

03

The solution

Rad AI migrated to GCP with CWX as their cloud migration partner. CWX refactored Rad AI's applications for HIPAA compliance, with the GPU capacity its model training needs.

04

The implementation process

Migration and refactor: CWX helped Rad AI migrate from AWS to Google Cloud, refactoring applications for HIPAA compliance and providing the GPU capacity its model training needs.

More client work

Related stories

All case studies
Health and life sciences

AI for good: transforming mental health

  1. 01Client and problem

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

  2. 02What CWX delivered

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

  3. 03What changed

    A repeatable, compliant path from model development to deployment.

Platform EngineeringData AI/MLRead the story
Health and life sciences

Accelerating drug discovery with revolutionary AI

  1. 01Client and problem

    Drug discovery research slowed by manual data extraction and analysis.

  2. 02What CWX delivered

    Vertex AI and Document AI models, plus a Gemini assistant scientists can question.

  3. 03What changed

    Scientists spend far less time harmonizing data and more on discovery.

Data AI/MLAI EngineeringRead the story
Get started

Let's talk about what's next.

Bring one question or one use case. We will bring the people who can answer it.

Recommended first stepBook an AI Value Accelerator sessionYour leaders leave with a ranked heat map, a business case kit and a roadmap.Something else in mind?Talk to our teamTell us what you need. A CWX lead replies personally.

Prefer email? sales@cwx.tech