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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.
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.
Try it outContact usTheir platform is able to provide labels at a scale that was 10x, maybe 20x, anything that we had done by ourselves.
Tremendous scale, tremendous throughput, and high quality labels.
Upload your dataset to our secure cloud and create data labeling tasks. When you're ready, launch your tasks to our network of medical experts.
See results within days, not months.
By aggregating many opinions, we achieve a level of accuracy proven to outperform any individual board-certified doctor.
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.
Our on-demand network of medical experts produces tens of thousands of medical annotations per day.
Create an account to get a preview of Centaur-labeled medical datasets or contact us below to start your project.
Our platform has the flexibility to support your medical training data needs.
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.
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.
Centaur Labs made the process of collecting skilled data labels that enable our cardiology AI research easy and fun. They are an ideal partner for collecting troves of opinions in a matter of days.
Quickest test of a medical image perception hypothesis of any platform I've worked with. Setting up a research project with Centaur Labs was painless and results, from literally hundreds of observers, came in within a week.
Centaur Labs leverages an ensemble of physicians to annotate medical data for machine learning, which makes their approach highly accurate and scalable.
I was personally really impressed by Centaur's approach to annotation which ended up providing us with excellent labels on what was ultimately a difficult task on noisy data. Centaur understood what the issues were quickly from the beginning and were able to help steer the project for us. And more importantly they were a real joy to work with—they always went out of their way to help problem solve for us. Thanks for a really great experience!
Centaur Labs is an amazing resource. So amazing that I almost don't want others to know about it because of how easy they make it to build up high quality training data. Their user base combined with their application allowed us to easily and efficiently scale up our training data in a very controlled way that ensured it was high quality based on metrics we cared about in-house. I would without hesitation recommend their service, so long as you are not doing what we are doing!
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.
We knew we couldn’t rely on individual neuroradiologists—or traditional, non-medical outsourced labeling services—to segment different kinds of hemorrhages in thousands of brain CT scans. Centaur tackled this problem quickly and accurately, enabling us to focus our time on building cutting-edge AI.
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
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.
