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Company profile

Artos AI Tech Stack

AI document generation for biopharma regulatory submissions

Biotechnology Research San Francisco, CA 51–200 employees Privately Held
artosai.com LinkedIn

Artos AI builds software that helps biopharma clinical and medical writing teams produce regulatory submission documents faster. Its stack pairs OpenAI and Anthropic models with RAG plus Langfuse and LangSmith for LLM observability, a sign that evaluating AI-generated output is a core engineering concern. Hiring is accelerating across engineering, product and sales, with job posts pointing to an early-stage push to formalize sales and engineering processes.

Tech Stack 26 technologies

Core StackAWS React TypeScript Python Node.js FastAPI Django Docker Terraform Pulumi CircleCI JavaScript Storybook Tailwind CSS GraphQL RAG OpenAI Anthropic Kubernetes Azure GCP AWS CodePipeline Material-UI Protocol Buffers Langfuse LangSmith

What Artos AI Is BuildingChallenges and projects from their job posts

◆Challenges

  • Complex regulatory documentation and document workflows
  • Deployment issues in complex enterprise customer environments
  • Building a mature sales organization
  • Scaling the platform for biopharma
  • Unstructured processes and unclear engineering requirements

▲Active Projects

  • Regulatory and R&D documentation system development
  • Evaluating AI-generated output
  • AI-native product experiences
  • Customer environment implementations
  • Building sales playbook and process
  • Feature testing and validation

Hiring Activity

Accelerating6 roles · 6 in 30d

Department

Engineering
3
Product
2
Sales
1

Seniority

Mid
3
Senior
3
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About Artos AI

Artos AI is a privately held company headquartered in San Francisco, CA, with 51–200 employees. It develops AI and software tools that convert clinical and R&D data into regulatory documentation for life sciences organizations. Its buyers are clinical development and medical writing teams at biopharma companies working through document-heavy submission workflows. The product runs on a Python and TypeScript stack spanning AWS, Azure and GCP, with deployments into customer enterprise environments.

HeadquartersSan Francisco, CA
Company Size51–200 employees
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Artos AI use?

Artos AI uses Python, FastAPI, Django, React, TypeScript and GraphQL, runs on AWS, Azure and GCP with Docker, Kubernetes, Terraform and Pulumi, and builds on OpenAI, Anthropic, RAG, Langfuse and LangSmith.

Is Artos AI hiring engineers?

Yes. Hiring is accelerating in the United States, led by mid- and senior-level engineering roles, alongside product and sales positions focused on building a sales playbook.

What is Artos AI working on?

Artos AI is building regulatory and R&D documentation systems, AI-native product experiences, evaluation of AI-generated output, and implementations inside customer enterprise environments.

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How this profile is built

Artos AI'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.