Artos GTM brain

Artos sells AI-powered regulatory document creation and management to life sciences teams.

category

Life sciences regulatory document automation

market profile

  • text: Drug development teams assemble complex IND, NDA and BLA documents from scientific data and review them across functions.
  • text: Buyers evaluate AI drafting alongside traceability, human review, validation and existing regulatory systems.

personas

  • title: Head of medical writing
    pains:
    • Clinical study reports require writers to synthesize source data and maintain references.
    • Drafting and iterating related documents competes for scarce expert review time.
  • title: Regulatory affairs director
    pains:
    • Submission readiness depends on coordinated documents from clinical, nonclinical and CMC teams.
    • AI-generated material must remain reviewable and trustworthy for regulatory use.
  • title: CMC documentation lead
    pains:
    • Quality overall summaries and specification justifications require repetitive data compilation.
    • Updates to source data need to be tracked across affected content.

icp

  • text: Pharma and biotech sponsors of any stated size preparing IND, NDA or BLA submissions are explicit target organizations.
  • text: CROs and medical writing firms supporting regulated life sciences submissions are also named target organizations.

message pillars

  • text: Bring document creation and management together for life sciences.
  • text: Cover the submission workflow from data to draft.
  • text: Accommodate teams working together across disciplines.

objections

  • objection: Can AI-generated documents meet our scientific and regulatory standards?
    response: Pilot a representative document against expert review, source traceability and the sponsor's validation procedures.
  • objection: Will this work with our templates and security model?
    response: The pricing page lists custom templates and private deployments for enterprise; verify specifics and implementation scope.
  • objection: Can we fit it into our document management process?
    response: Test integration and change control with an existing system and submission workflow before rollout.

competitors

  • name: Veeva Systems
    why: Offers regulatory content and submission workflows that can overlap with Artos.
  • name: Yseop
    why: AI-assisted medical and regulatory writing for life sciences.
  • name: Certara
    why: CoAuthor addresses regulatory writing for clinical submissions.

influencers

  • name: Josh Kim
    url: https://www.linkedin.com/in/josh-kim-
    why: Artos CEO discusses trust, validation and AI-generated clinical documents.

keywords

  • AI medical writing software
  • regulatory submission document automation
  • clinical study report drafting
  • IND document authoring
  • CTD authoring software
  • CMC regulatory writing

voice

  • Professional and scientific
  • Workflow-oriented
  • Collaborative

signals

  • text: A biotech is preparing an IND, NDA or BLA and hiring medical writers.
  • text: A sponsor or CRO is standardizing document creation across clinical and regulatory teams.

stack

  • Veeva
  • SharePoint
  • Google Drive
  • Microsoft Teams
  • Excel

hiring

  • Senior AI Product Manager

pricing

model: unknown

motion

sales_led

channels

  • LinkedIn
  • events

confidence

medium

Founders

  • name: Josh Kim
    title: Founder/CEO
    role: CEO
    bio: Josh is co-founder and CEO of Artos. Josh previously led translational AI initiatives at the University of Chicago Medicine, where he developed best-in-class AI tools for use cases ranging from clinical trial endpoint analysis to medical devices for real-time symptom management. Prior to that, Josh worked on commercial and regulatory strategy at several biotech companies. Josh has a degree in Economics from the University of Chicago.
  • name: Varun Patel
    title: Founder/CTO
    role: CTO
    bio: Varun is a co-founder and CTO at Artos. He studied Molecular Engineering at the University of Chicago and has a Masters in Translational Medicine from UCSF/UC Berkeley. He previously worked as a Software Engineer in the healthcare/medtech space, where he developed ML enabled mobile applications for dementia caregivers and improved insurance infrastructure at the largest healthcare company in the world. In his free time, you can find him biking, hiking, or climbing something.

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