
Centaur Labs
Provides expert medical and scientific data annotation to accelerate AI development in healthcare and life sciences.
Date | Investors | Amount | Round |
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- | investor investor investor investor | €0.0 | round |
N/A | €0.0 | round | |
investor | €0.0 Valuation: €0.0 | round | |
investor investor investor investor | €0.0 | round | |
investor investor investor investor investor investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
* | $16.0m | Series B | |
Total Funding | 000k |
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Centaur Labs is a specialized data annotation platform focused on the healthcare and life sciences sectors. The company leverages a global network of thousands of medical professionals, researchers, and students to deliver high-quality, expert-verified data labeling for complex medical datasets. Centaur Labs integrates directly into clients’ data pipelines via end-to-end API solutions, enabling seamless and scalable annotation workflows.
The platform emphasizes rigorous quality control by continuously measuring labeler performance and only including annotations from contributors who meet strict quality benchmarks. Labelers are incentivized through mobile-first, performance-based competitions, ensuring consistent effort and accuracy. Each case receives multiple independent reads, with additional scrutiny applied to ambiguous examples, enhancing data reliability.
Centaur Labs provides clients with granular, labeler-level insights and comprehensive statistical analyses, such as precision-recall curves, label distribution, and agreement metrics. This transparency allows organizations to proactively identify edge cases, understand dataset nuances, and optimize model development. The company also upholds leading security and privacy standards, ensuring sensitive health data is handled with care.
Centaur Labs supports a wide range of applications, including software as a medical device, AI-enabled diagnostics, drug discovery, insurance claims processing, and AI-driven wellness solutions.
Keywords: data annotation, medical AI, healthcare data, quality control, expert labeling, API integration, medical device, drug discovery, machine learning, data privacy, edge cases, model development, real-world evidence, insurance claims, AI wellness, statistical insights