Anatomic GTM brain

category

market profile

• text: Medical AI teams need real-world surgical video, conversations and imaging linked to clinical context for training and evaluation.
• text: Clinical data acquisition requires hospital partnerships, privacy governance and modality-specific annotation.

personas

• title: Medical AI research lead
  pains:

  • Public data may lack sufficient real clinical diversity, procedural context or linked longitudinal records.
  • Negotiating hospital data access and building annotations slows experimentation.
• title: Surgical robotics or computer vision lead
  pains:

  • Models need representative procedural video from multiple perspectives.
  • Data needs differ by surgical task, modality and camera position.
• title: Clinical AI product and data governance lead
  pains:

  • Audio models need speaker-labeled, transcribed doctor-patient conversations.
  • Legal and privacy teams require evidence of rights, governance and appropriate data handling.

icp

• text: Medical AI developers and research labs training imaging, speech or multimodal models on real clinical data.
• text: Surgical robotics and computer vision teams needing procedural recordings and contextual metadata.
• text: Hospitals and clinician networks are supply-side partners rather than the primary dataset buyer.

message pillars

• text: Ground model development in data from real care settings.
• text: Provide surgical recordings with useful procedural context.
• text: Offer clinical conversations with detailed speech labels.
• text: Include governance in the dataset proposition.

objections

• objection: Can we legally use the data for our model and jurisdiction?
  response: Review consent, permitted uses, de-identification and contractual evidence with counsel for the specific dataset.
• objection: Will the data generalize to our use case?
  response: Request samples and assess patient population, modality, procedure, annotation and site distribution against the intended deployment.
• objection: Can we get enough relevant data rather than a large generic library?
  response: Specify inclusion criteria and evaluate the sample and available coverage before contracting.

competitors

• name: Calador
  website: https://calador.ai/
  why: Provides real-world clinical video for physical AI training and evaluation.
• name: Segmed
  website: https://segmed.ai
  why: Supplies real-world medical imaging data for health innovation.
• name: Theator
  why: Captures and structures surgical video data, an adjacent surgical intelligence offering.

keywords

• surgical video dataset
• medical AI training data
• clinical conversation dataset
• annotated medical imaging data
• robotics surgery data
• longitudinal patient imaging dataset

voice

• Clinical and precise
• Research-oriented
• Evidence-led

signals

• text: An AI company is building a surgical foundation model or surgical robotics perception system.
• text: A clinical AI team is seeking diverse real-world audio or longitudinal imaging to validate a model.

pricing

motion

channels

• sample requests
• YC directory

confidence

Founders

• name: Abhishek Bhayana
  title: Founder/CEO
  role: CEO
  bio: Founder & CEO of Anatomic, which provides real-world healthcare data (surgical video, clinical conversations and medical imaging) for medical AI. Previously founded Bikry and StrawberryPOS, and worked in private equity in New York. Purdue alum.