DeepHealth Tech Stack

AI-powered imaging platform for radiology workflows and cancer screening

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

DeepHealth (RadNet subsidiary) operates a cloud-native platform unifying radiology imaging, informatics, and AI diagnostics across lung, breast, prostate, and brain health. The tech stack spans Kotlin, Java, Spring Boot, GraphQL, and multi-cloud infrastructure (AWS, GCP, Azure), with depth in PACS integration and clinical data pipelines — matching active projects around backend reliability, API security, and regulatory submissions. Hiring is sales and operations-forward (sales, HR, marketing, legal dominate openings) while security and clinical compliance surface as primary organizational challenges.

Tech Stack 33 technologies

Core StackKotlin Java GraphQL AWS Docker Kubernetes Salesforce Python SQL Server BigQuery MongoDB Terraform Ansible ArgoCD Confluence Marketo Jira Asana Smartsheet Spring Boot Ktor HL7 CI/CD PACS AWS EMR SQL Server Reporting Services PowerShell Bash GCP Azure+3 more

What DeepHealth Is Building

◆Challenges

Hr workflow inefficiencies
Hris data accuracy
Pipeline acceleration
Optimising clinical workflows
Protecting organizational data
Ensuring regulatory adherence
Mitigating potential security risks
Ai triage/prioritization
Imaging platform consolidation
Obtaining market approval for new digital products

▲Active Projects

Regional event activation
Backend services for web ui and remote gateways
Api design for reliability and security
Account-based marketing initiatives
Information security compliance strategy
Incident response plan
Security awareness training program
Next-gen product offerings
Us 510(k) submissions
Clinical study design and execution

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Sales

Legal

Marketing

Support

Data

Engineering

Healthcare

Seniority

Mid

Manager

Junior

Senior

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About DeepHealth

DeepHealth delivers an AI-powered radiology information and imaging management system to hospitals, imaging centers, and radiology departments worldwide. The product integrates several acquired AI diagnostic engines (lung, breast, prostate, and brain) into a unified cloud-native OS (DeepHealth OS) that spans clinical workflows, operational metrics, and AI-powered detection. The platform serves hundreds of imaging centers and thousands of radiologists, including large-scale cancer screening programs. As a subsidiary of publicly-traded RadNet, DeepHealth operates at 201–500 headcount with teams across the US and Europe.

HeadquartersCambridge, MA

Company Size201–500 employees

Hiring MarketsUnited States, Netherlands, France, United Kingdom

Frequently Asked Questions

What technology does DeepHealth's platform run on?

Kotlin, Java, Spring Boot, GraphQL, and AWS/GCP/Azure cloud infrastructure. Clinical integration relies on HL7, PACS, and SQL Server/BigQuery for data pipelines. DevOps stack includes Docker, Kubernetes, Terraform, and ArgoCD.

Is DeepHealth hiring engineers?

Yes, but cautiously. Only 1 active engineering role posted; hiring velocity is accelerating across sales (3), HR (3), marketing, legal, and support roles. Focus is operations and revenue.

Where is DeepHealth headquartered and hiring?

Cambridge, MA headquarters. Active hiring in United States, Netherlands, France, and United Kingdom.

How this profile is built

DeepHealth's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.