CrowdFlower AI

Powered by Microsoft Azure Machine Learning

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Deploy a human-in-the-loop workflow with state-of-the art ML algorithms you control

  1. Upload your data and write your business rules for how it should be labeled in plain language
  2. Get back quality-controlled labeled data at scale from humans connected to the CrowdFlower platform
  3. Create a model from this training data, refine it if needed through Microsoft’s Azure ML Studio
  4. If AI is confident about the label, automation takes over – in cases where it's not, humans complete the labeling
  5. Feed any additional human labels back into AI to continuously increase its accuracy and value