CrowdFlower is the essential human-in-the-loop platform for data science teams. CrowdFlower helps customers generate high quality customized training data for their machine learning initiatives, or automate a business process with easy-to-deploy models and integrated human-in-the-loop workflows. The CrowdFlower platform supports a wide range of use cases including self-driving cars, intelligent personal assistants, medical image labeling, content categorization, customer support ticket classification, social data insight, CRM data enrichment, product categorization, and search relevance.
Headquartered in San Francisco and backed by Canvas Venture Fund, Trinity Ventures, and Microsoft Ventures, CrowdFlower serves data science teams at Fortune 500 and fast-growing data-driven organizations across a wide variety of industries.
Sentiment Analysis: Sentiment analysis on CrowdFlower succeeds where automated solutions fail. Whether it’s sarcasm, misspellings, or other variables, human review consistently beats out-of-the-box natural language processors. You can use the judgments the contributors give you to build training sets for your machine learning algorithms or to get immediate insights about your product, brand, or campaign.
Search Relevance: On their own, algorithms fail to return the best results. And since users who search are more likely to convert, a poor internal search experience can really hurt your business. CrowdFlower can help. Our contributors will rank how well your queries surface the best results so that you can train your algorithms to give users what they’re searching for, the first time they search.