Better Labels
Better AI

Your medical AI is only as good as the data it’s trained on. Build life-saving technology with accurate medical data labeling you can trust.

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32 Million
total labels
/
100,000+
labels per day
/
Thousands
of medical experts

How it works

Upload your dataset to our secure cloud and create labeling tasks. When you're ready, launch your tasks to our network of medical experts.

See results within days, not weeks or months.

Try it out
We've worked with researchers and practitioners at the forefront of AI.

Why we're different

clipboard with multiple opinions collected

Collective intelligence outperforms the competition

By aggregating many opinions, we achieve a level of accuracy proven to outperform any individual board-certified doctor.

Performance-based compensation aligns incentives

We only reward the top performers, so our medical experts give 100% effort on every case they see — ensuring quality at every step, and allowing us to pass cost savings onto you.

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chart going up

Speed you won't believe

Our on-demand network of medical experts produces tens of thousands of medical annotations per day.

Want to try it out?

Create an account to get a preview of Centaur-labeled medical datasets or contact us below to start your project.

What we label

Our platform has the flexibility to support your medical training data needs.

Supported tasks

medical image classification icon medical data labeling
Classification
medical box annotation
Box Annotation
polygon segmentation medical image segmentation
Segmentation

Supported data types

medical image labeling
Images
medical video annotation medical video labeling
Videos
medical text annotation NLP
Text
medical dicom labeling dicom data labeling
DICOM
medical nifti labeling nifti data labeling
NIfTI
xray data labeling x-ray data labeling
X-Ray
Box annotation for medical data labeling ct scan labeling
CT Scan
ultrasound data labeling ultrasound annotation
Ultrasound
Whole Slide Images
mri data labeling mri annotation
MRI

Our customers and partners are saying

"Centaur's mobile-first labeling tools enable us to quickly and conveniently gather results from our residents. We've accelerated our research by building and refining our ML models on COVID-19 pathologies in near real time. Centaur Labs has been a crucial partner throughout."

Andrew Goldsmith, MD, MBA

Andrew J. Goldsmith, MD, MBA Brigham & Women's Hospital

"I get pitched on annotation tools all the time and Centaur is simply the best ... they offer you the accuracy and sophistication of medical experts at the price and speed of Mechanical Turk.

Dhruv Gulati

Dhruv Gulati, CEO of Factmata  |  Read Case Study →

"I was surprised when Centaur Labs projected a turnaround time within a week of our meeting. Not only did they meet that deadline, the Centaur network also determined that our dataset included over a hundred irrelevant clips.

Their quality control process made it easy to review controversial cases — which would have taken weeks without their support."

Sara Beery

Sara Beery, PhD Computational Vision Lab at California Institute of Technology

"Segmenting graft-versus-host skin disease is a complex and time consuming task. Centaur collected over 10 vetted opinions per image from their network, and combining those segmentations together produced amazingly high-quality annotations."

Sara Beery

Dr. Eric Tkaczyk, Director, Vanderbilt Dermatology Translational Research Clinic and Assistant Professor, Vanderbilt University Medical Center

"Centaur Labs leverages an ensemble of physicians to annotate medical data for machine learning, which makes their approach highly accurate and scalable."

Felipe Kitamura

Felipe Kitamura, Head of AI at DASA

"Centaur’s unique crowd-based labeling technology was a key enabler for us to quickly scale our data and algorithms. Our partnership with them played a large role in our success.

Felipe Kitamura

David Hachuel, Co-Founder and CEO of Auggi  |  Read Case Study →

"Any data scientist will love working with Centaur Labs. They provided us with rich information on labeler disagreement that is both critical to publishing results of our work and unlike any labeling vendor out there. Our project also had unique requirements for the population of labelers, and Centaur was able to recruit over 650 labelers that met those requirements.”

Felipe Kitamura

Michael Bell, PhD, Senior Data Scientist at Mercury Data Science 

Frustrated by the inconsistency of your labeling results?

Are you struggling to recruit, train, and manage teams of slow and expensive physicians, or unreliable medical students and residents?

There's a better way.

Get the guide
medical data labeling white paper

Get started with Centaur Labs today