Why Centaur
The industry default? Spend big on expert opinions. But there's a smarter way: collective intelligence. Just as prediction markets aggregate many perspectives to outperform individual experts, Centaur blends crowds, experts, and AI to achieve higher accuracy at lower cost.
Don't just take our word for it. This playground is powered by a real image classification dataset with actual opinions from experts, crowd labelers, and AI. What you see is what you get.
Your Mission
Total Budget
Cases to Annotate
Labeler Types
Allocate your budget across different labeler types to maximize quality
Allocate budget to each labeler type to maximize your coverage and accuracy.
Expert #1
$65/opinion • 85% accuracy
Expert #2
$45/opinion • 80% accuracy
Expert #3
$55/opinion • 83% accuracy
Wisdom of the Crowds
Collective intelligence$0.25/opinion • 30% accuracy (single opinion average)
Opinions per case: 0
Aggregating many opinions from our crowd can produce more accurate answers than any single expert.
LLM Labeler
$0.1/opinion • 43% accuracy
Fixed cost of 2 opinions per case when enabled: $400.
Accuracy
Coverage
Cost
Understanding the Chart
The purple line represents the Centaur Way – the optimal accuracy achievable at any given budget. Your goal is to get as close to this frontier as possible.
Accuracy vs Cost
Your attempts plotted on the optimization space
Saved experiments
Schedule a demo to see how Centaur.ai can automatically optimize your annotation workflow