Centaur GTM brain

Centaur supplies expert and AI-generated data annotation and model evaluation for teams building high-stakes AI.

category

Expert AI data annotation

market profile

  • text: High-stakes model builders need expert-labeled data and independent evaluation across multiple data types.
  • text: Centaur originated in collective intelligence research and combines performance-weighted expert and model judgments.

personas

  • title: Head of machine learning at a medical AI company
    pains:
    • Specialist labels are expensive and difficult to scale
    • Disagreement and errors in training or evaluation data undermine model quality
  • title: AI data operations lead
    pains:
    • Must source qualified annotators and manage quality over large multimodal datasets
    • Needs data delivered in formats compatible with training pipelines

icp

  • text: Healthcare AI, medical device and life sciences companies training or evaluating models with specialist data.
  • text: AI startups through enterprises with high-stakes text, images, audio, video or waveform annotation needs.

message pillars

  • text: Improve quality by combining human and machine judgments.
  • text: Use competition to identify strong annotators.
  • text: Provide datasets at production scale.

objections

  • objection: How can we trust the quality of crowd labels for clinical data?
    response: Ask for an evaluation on representative cases and examine how performance-based aggregation compares with expert ground truth.
  • objection: Will the labeling output fit our existing pipeline?
    response: Discuss delivery via API and supported formats, including JSON, CSV and DICOM.

competitors

  • name: Encord
    why: Provides multimodal annotation, curation and evaluation for AI teams.
  • name: Aya Data
    why: Offers competing data labeling services.
  • name: Scale AI
    why: Provides data annotation and training data for model builders.

influencers

  • name: Erik Duhaime
    url: https://centaur.ai/post/series-a-announcement
    why: Co-founder and CEO who explains the company's collective-intelligence approach.

keywords

  • medical data annotation
  • healthcare AI training data
  • expert data labeling
  • medical image annotation
  • AI model evaluation dataset
  • multimodal data labeling

voice

  • research-led
  • confident
  • technical but accessible

signals

  • text: A healthcare AI team is launching a new model and needs expert-reviewed evaluation data.
  • text: An ML team reports label disagreement or cannot scale specialist annotation.

stack

  • API
  • JSON
  • CSV
  • DICOM

hiring

  • Technical Product Manager, Labeling Tools
  • Senior Sales Engineer

pricing

model: unknown

motion

sales_led

channels

  • SEO
  • research publications
  • LinkedIn
  • webinars
  • case studies

confidence

high

Founders

  • name: Erik Duhaime
    title: Founder
    role: Founder
    bio: founder/CEO at Centaur.AI
  • name: Tom Gellatly
    title: Founder
    role: Founder
    bio: Hello! I live in Durham, NC. I have a background in mobile and web development and engineering management. I studied CSE at the University of Michigan. I was the first employee at SF ride-sharing startup Sidecar, which was acquired by General Motors in 2016. I then managed the mapping & data labeling engineering teams at Cruise Automation for 1.5 years.
  • name: Zach Rausnitz
    title: Founder
    role: Founder
    bio: I'm a self-taught, generalist software engineer. I cofounded Centaur Labs in 2017. Previously I worked as a full-stack software engineer at Washington City Paper, where many notable people in media got their start.

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