Rad AI Tech Stack

Generative AI for clinical documentation and physician workflows

Software Development San Francisco, California 51–200 employees Founded 2018 Privately Held

Rad AI builds generative AI products for healthcare providers, with a tech stack anchored on Python, FastAPI, and AWS (EC2, Lambda, Kubernetes) for ML model serving, plus HL7 and PACS integrations for clinical data. The company is actively scaling infrastructure for production ML and addressing the core tension between research velocity and HIPAA-compliant deployment—evident in hiring across engineering, data, and security, and in concurrent projects spanning model R&D infrastructure, vision-language work, and HIPAA privacy implementation.

Tech Stack 15 technologies

Core StackReact TypeScript JavaScript Python FastAPI RAG AWS Kubernetes AWS Lambda Zendesk HL7 AWS EC2 Container Service SOC 2 ISO 42001 PACS

What Rad AI Is Building

◆Challenges

Translating research to production
Improving patient outcomes
Protecting relationships with healthcare partners
Ensuring compliance with hipaa
Accelerating deal closures
Scalable and reliable infrastructure
Scalable revenue processes
Accurate deferred revenue schedules
Complex saas revenue
Scaling infrastructure for ai product suite

▲Active Projects

Infrastructure for language model r&d and deployment
Cloud-native services and serverless architecture for scalable ml platform
Data pipeline design for production ml models
Reporting application
Customer-facing documentation
Computer vision and vision-language work
Accelerate deal closure processes
Implement hipaa privacy program
Negotiate commercial contracts
Cloud infrastructure evolution for reporting, impressions, continuity

Hiring Activity

Accelerating20 roles · 8 in 30d

Department

Engineering

Product

Sales

Support

Data

Finance

Legal

Security

Seniority

Senior

Staff

Manager

Mid

Junior

Lead

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About Rad AI

Rad AI, founded in 2018 and based in San Francisco, develops generative AI applications for physicians and healthcare organizations. The product surfaces around clinical documentation workflows, leveraging computer vision and large language models to integrate with existing healthcare infrastructure (PACS, HL7 standards). The company operates in a regulated environment (HIPAA, SOC 2, ISO 42001 certified) and serves healthcare providers at mid-market and enterprise scale. Current operational priorities include scaling cloud infrastructure to support growing AI workloads, hardening data pipelines for production models, and building sales processes and contracts management for healthcare's complex procurement cycles.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2018

Hiring MarketsUnited States

Frequently Asked Questions

What technology stack does Rad AI use?

Python, FastAPI, React, TypeScript, AWS (EC2, Lambda, Kubernetes), RAG, and PACS/HL7 integrations for healthcare data exchange. SOC 2 and ISO 42001 certified.

What is Rad AI working on?

ML infrastructure and deployment, cloud-native architecture, computer vision and vision-language models, HIPAA compliance implementation, healthcare data pipelines, and revenue/deal acceleration processes.