Skip to content

Scalable data labeling powered by human expertise

Powering the development of superior AI models

Link    Link-1    Link-2     Link-3    Link-4   Link-5     Link-6

 

Trusted by leaders in health AI:

Logo
Logo-1
Logo-2
Logo-3

The problem healthcare AI teams frequently face and how Centaur can help

Inconsistent

Inconsistent data annotation quality

Centaur Labs ensures expert-level consistency for mission-critical datasets.

Scaling

Scaling data annotation for multimodal AI

Our platform scales with your needs, handling text, image, audio, and video seamlessly

Limited

Limited in-house annotation resources.

Leverage our network of experts to meet your deadlines without compromising quality

The only solution for scalable, accurate health data labeling

Centaur 2

Expert-quality annotation

Unlock expert-quality annotation at scale with the market's most advanced data annotation quality control system. 

  • We measure annotator accuracy by assessing performance on hidden Gold Standard cases where the answers are known. 
  • Incentives are aligned with quality, as annotators are paid-for-performance vs volume. 
Centaur_1

Scalable and integrated

Accelerating the entire industry AI lifecycle from training data development to model evaluation - with an on-demand global network of tens of thousands of subject matter experts. 

  • Our platform generates 2 million opinions per week by leveraging a global network of skilled annotators. 
  • Our "always-on" network is available at all hours of the dat and night, delivering annotated data in under an hour. 
Image product

Built for industry AI

Our tailored solutions for healthcare enable compliance with HIPAA and SOC 2 Type 2 standards while providing advanced labeling tools for healthcare data. 

  • Our HIPAA labeler network includes thousands of annotators trained to work with sensitive data like PHI. 
  • Our viewers for digital pathology and DICOM enable scalable, high-quality annotation. 

Accelerate your

AI development today.

 

shape-svg-1