
Centaur
Centaur provides high-quality, expert-labeled datasets for training and evaluating AI systems through a collective intelligence approach.
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Centaur provides high-quality, expert-labeled datasets for training and evaluating AI systems through a collective intelligence approach. By utilizing a competitive algorithm that measures annotator performance rather than just credentials, the platform ensures superior data quality. It features an interactive quality playground that allows users to test labeling strategies, adjust the mix in real-time, and visualize cost versus accuracy. The service caters to high-value domains such as radiology and pathology, offering curated or custom datasets for model development and regulatory support. Pricing and accessibility require direct contact with the team.
Key features
- Competitive annotation algorithm measuring performance
- Interactive quality playground for real-time strategy testing
- Expert-labeled, de-identified, and quality-controlled datasets
- Visualization of cost vs accuracy
- Custom dataset creation for specific domains
Pricing
PaidStarting price: Contact for pricing
Verified on:
Use cases
- Model training and fine-tuning
- Benchmarking and evaluation
- Regulatory support and validation
Who it is for
AI researchersDevelopers
Integrations
AWSGoogle CloudMicrosoft Azure
How we verified this
Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.
Last verified 09/02/2026Verified sources: 1
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