Centaur Labs
About Centaur Labs
Centaur Labs provides a medical AI platform that utilizes a global network of expert annotators for precise data labeling across various modalities, including text, audio, and imaging. This approach addresses the challenge of slow and inconsistent data annotation by ensuring high-quality labels through automated quality checks and performance metrics.
```xml <problem> Developing accurate medical AI models requires large, high-quality datasets, but obtaining precise and consistent data labels across diverse modalities like text, audio, and imaging is a slow and challenging process. Inconsistent annotation and a lack of skilled annotators can significantly hinder AI development and model performance. </problem> <solution> Centaur Labs offers a medical AI platform that leverages a global network of trained annotators and automated quality checks to provide accurate data labeling across various modalities, including text, audio, imaging, video, and waveform data. The platform ensures high-quality labels by continuously measuring and managing annotator performance, allowing clients to include opinions only from labelers whose quality score meets their expectations. Datasets can be mastered through access to meaningful statistical information, case-level insights, and identification of edge cases. The platform also offers seamless API integration to embed data annotation into existing data pipelines. </solution> <features> - Access to a global network of medical doctors, professionals, researchers, and students for skilled annotation. - End-to-end API integration for seamless embedding of data annotation into existing data pipelines. - Labeler-level insights to provide confidence in the quality of the annotation network. - Performance-based incentives for annotators through small batch, mobile-first competitions. - Multiple reads on each case, with more reads on ambiguous cases, to improve accuracy. - Access to statistical information about datasets, including precision-recall curves, label distribution, and labeler agreement. - Identification of edge cases and data quality challenges based on flagged cases and labeler comments. - Support for various data modalities, including unstructured clinical notes, scientific text, heart/lung/artery auscultation, ultrasound, X-ray, surgery videos, EEG, and ECG. </features> <target_audience> The primary customers are AI leaders from startups to enterprises in the medical device, life sciences, consumer, insurance, and LLMs/software industries who need accurate and scalable health data labeling for AI model development. </target_audience> ```
What does Centaur Labs do?
Centaur Labs provides a medical AI platform that utilizes a global network of expert annotators for precise data labeling across various modalities, including text, audio, and imaging. This approach addresses the challenge of slow and inconsistent data annotation by ensuring high-quality labels through automated quality checks and performance metrics.
Where is Centaur Labs located?
Centaur Labs is based in Boston, United States.
When was Centaur Labs founded?
Centaur Labs was founded in 2017.
How much funding has Centaur Labs raised?
Centaur Labs has raised 31885849.
- Location
- Boston, United States
- Founded
- 2017
- Funding
- 31885849
- Employees
- 47 employees
- Major Investors
- Alumni Ventures, Y Combinator, Accel, Hack VC, Samsung NEXT