A

Artos AI Tech Stack

AI platform for regulatory document generation in clinical development

Biotechnology Research San Francisco, CA 2–10 employees Privately Held

Artos AI is a 2–10 person engineering-heavy startup building AI and software tools to automate regulatory submission creation for biopharma. The tech stack—FastAPI, Django, Python, React, TypeScript on AWS with Terraform and GitHub Actions—reflects a full-stack SaaS orientation optimized for document generation and real-time collaboration. Pain points around scaling containerized applications and regulatory soundness of AI outputs signal they're at the stage of moving from proof-of-concept to production deployment, with customer implementation and stress-testing now blocking velocity.

Tech Stack 20 technologies

Core StackFastAPI Django Python Docker AWS Terraform Pulumi GitHub Actions CircleCI React TypeScript JavaScript Storybook Tailwind CSS GraphQL AWS CodePipeline Material-UI Protocol Buffers

What Artos AI Is Building

◆Challenges

Inefficient documentation processes
Scaling containerized applications
Scaling platform
Accelerating product development
Expanding customer demand
System implementation in customer environments
Technical capability translation into workflows
Regulatory soundness of ai outputs

▲Active Projects

Ai-driven medical writing platform
Document generation system for non-clinical and cmc domains
Developing artos platform
Building genai applications
Deploying containerized applications
Regulatory submission platform development
Frontend ui for enterprise saas
Regulatory and r&d documentation system for non-clinical and cmc domains
Customer environment implementation of artos
Stress-testing features against real-world use cases

Hiring Activity

Minimal5 roles · 0 in 30d

Department

Engineering

2

Product

2

Seniority

Mid

3

Lead

1

Company intelligence

Find more companies like Artos AI by tech stack, pain points and active projects

Get started free

About Artos AI

Artos helps clinical development and medical writing teams accelerate the creation of regulatory submissions for health agencies. The platform uses AI to transform data into submission-ready documents in days instead of weeks, targeting the $13 billion and millions of man-hours life sciences companies spend annually on this workflow. Active projects span AI-driven medical writing, document generation for non-clinical and chemistry/manufacturing/controls (CMC) domains, containerized platform deployment, and customer environment implementations. The 2–10 person team is based in San Francisco.

HeadquartersSan Francisco, CA

Company Size2–10 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Artos AI use?

FastAPI, Django, Python backend; React, TypeScript, Material-UI, Tailwind CSS frontend; AWS infrastructure with Terraform, Pulumi, GitHub Actions, and CircleCI for CI/CD; GraphQL and Protocol Buffers for APIs.

What is Artos AI working on?

AI-driven medical writing platform, document generation for non-clinical and CMC domains, regulatory submission platform development, and customer environment implementations with stress-testing against real-world use cases.