DeepHealth Tech Stack

AI-powered medical imaging platform for radiology departments and cancer screening

Hospitals and Health Care Cambridge, MA 201–500 employees Public Company

DeepHealth operates as RadNet's digital health division, consolidating multiple AI imaging companies (eRAD, Aidence, Kheiron, Quantib) into a unified cloud-native platform. The tech stack reveals a mature, multi-cloud infrastructure (GCP, AWS, Azure with Kubernetes and Terraform) built on Python, signaling investment in scalability and operational rigor. Active pain points around post-acquisition product integration and delivery efficiency suggest the company is still consolidating its portfolio while scaling customer deployments—a common challenge when merging best-of-breed point solutions into a single OS.

Tech Stack 26 technologies

Core StackPython Linux AWS Kubernetes Docker Terraform Ansible ArgoCD Confluence Salesforce Marketo Jira Asana Smartsheet PowerShell Bash GCP Azure SharePoint Git Excel PACS DICOM Microsoft Office Google Workspace LinkedIn Recruiter

What DeepHealth Is Building

◆Challenges

Reliability, security, scalability
Process streamlining
Product integration after acquisitions
Capa process efficiency
Ensuring system reliability
Complex program management in healthcare
Protecting organizational data
At-risk client relationships
Reducing time-to-value
Improving delivery efficiency

▲Active Projects

Customer installations of advanced ai medical imaging software
Continuous improvement of delivery and implementation team's workflows
Deployment and integration of applications
Continuous improvement of support processes
Supplier portal integration
Information security compliance strategy
System updates and onboarding
Customer onboarding
Implementation playbooks
Ai medical imaging software deployments

Hiring Activity

Steady30 roles · 15 in 30d

Department

Engineering

Sales

Support

Product

Healthcare

Ops

Executive

Seniority

Senior

Mid

Junior

Manager

Director

Lead

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About DeepHealth

DeepHealth delivers AI-powered radiology informatics across lung, breast, prostate, and brain imaging. The platform centers on DeepHealth OS, a cloud-native operating system that unifies clinical and operational workflows while serving thousands of radiologists at hundreds of imaging centers globally. The company is a wholly-owned subsidiary of publicly traded RadNet (NASDAQ: RDNT) and was formed by integrating several specialized AI imaging companies. Current operational focus spans customer installations, deployment automation, post-acquisition product integration, and support process improvement—reflecting an organization scaling from multiple acquired entities into a cohesive commercial operation.

HeadquartersCambridge, MA

Company Size201–500 employees

Hiring MarketsNetherlands, United Kingdom, United States, Italy, India

Frequently Asked Questions

What tech stack does DeepHealth use?

Python, GCP, AWS, Azure, Kubernetes, Docker, Terraform, Ansible, Git, and DICOM/PACS standards. Infrastructure spans multi-cloud with container orchestration and infrastructure-as-code tooling.

Where is DeepHealth headquartered?

Cambridge, MA. The company hires internationally across the United States, United Kingdom, Netherlands, Italy, and India.