Crowdsourcing concepts

Tap into the wisdom of the crowd on a large scale

Keys to clean and accurate training data

Our methodology based on years of research and unique industry expertise can help you successfully tap into the wisdom of the crowd on a large scale. If you want to efficiently use the knowledge of thousands of people to get clean and accurate data for your ML needs, follow our tips for each of these essential steps.

Research Benchmarks

Quality control lies at the heart of crowdsourcing.
Use our examples as benchmarks to achieve the described levels of quality on popular research datasets.

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Research papers

Browse through some of our Research team's latest work.

Useful resources

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