Segmed GTM brain

Segmed supplies de-identified medical imaging and multimodal real-world data to life sciences researchers and medical AI developers.

category

Real-world medical imaging data

market profile

  • text: Medical AI teams need diverse imaging datasets for training and external validation.
  • text: Imaging linked to clinical data supports disease research, biomarkers and external control arms.
  • text: Segmed raised a $10.4 million Series A in 2024 to expand its imaging data business.

personas

  • title: Head of Medical AI
    pains:
    • Single-site training data may not generalize across scanners and populations.
    • Sourcing indication-specific images delays development and validation.
  • title: Director of Real-World Evidence or Biomarkers
    pains:
    • Collecting longitudinal imaging and reports across institutions requires multiple agreements.
    • Research requires documented, fit-for-purpose cohort coverage.
  • title: Healthcare Data Partnerships Director
    pains:
    • Extracting and de-identifying imaging data requires specialist capacity.
    • Research partnerships need privacy and contractual oversight.

icp

  • text: Pharmaceutical and biotech R&D teams researching disease progression, biomarkers or external control arms.
  • text: Medical device and healthcare AI companies training or validating diagnostic algorithms for FDA or CE pathways.
  • text: Hospitals and radiology networks with imaging archives and an interest in research data partnerships.

message pillars

  • text: Source de-identified images at scale for model development.
  • text: Build datasets reflecting different practices and devices.
  • text: Support training and regulatory data needs from one provider.

objections

  • objection: Will the data generalize beyond one institution?
    response: Define required populations, devices and modalities and assess cohort coverage before contracting.
  • objection: Can we use the dataset for a regulated study?
    response: Review provenance, permitted use and regulatory documentation against the specific study protocol.
  • objection: How is patient privacy protected?
    response: Review de-identification, security documentation and contractual safeguards with the data governance team.

competitors

  • name: Gradient Health
    website: https://gradienthealth.io
    why: Supplies medical images for healthcare AI development.
  • name: Callisto
    why: Provides de-identified imaging and clinical research datasets for AI and pharmaceutical teams.

keywords

  • medical imaging datasets
  • de-identified DICOM data
  • radiology AI training data
  • real world imaging data
  • FDA AI validation datasets
  • longitudinal imaging biomarkers

voice

  • Scientific and research-oriented
  • Confident about data scale
  • Privacy-conscious

signals

  • text: A diagnostic AI company is preparing external validation or an FDA submission.
  • text: A pharma research group is launching an imaging biomarker or longitudinal disease study.

hiring

  • Director, Enterprise Accounts, United States remote

pricing

model: unknown

motion

sales_led

channels

  • Events
  • Webinars
  • Publications
  • SEO

confidence

high

Founders

  • name: Martin Willemink
    title: Founder
    role: Founder
    bio: Co-founder and CEO at Segmed, Inc.
  • name: Jie Wu
    title: Founder
    role: Founder

Back to YC companies