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"We [Consensus] had a very complex and specific set of annotation needs. Datasaur was able to address those needs efficiently and effectively all while maintaining the personal touch you would expect from a start-up. Working with Datasaur has enabled us to create state-of-the-art datasets of thousands of annotated scientific papers, from start to finish, in a matter of a few short months."
"We looked at Prodigy, LightTag, LabelBox, Scale and more. You really can't beat Datasaur for their suite of features and price point."
Labelbox is the simplest platform to train and operate machine intelligence. Labelbox solves the problem of taking artificial intelligence and machine learning initiatives from research and development into production. In addition to working directly with their customers, Labelbox's main product is a platform that makes it easy to create and manage labeled data, enabling rapid deployment of artificial intelligence applications.
Snorkel AI started as a research project in the Stanford AI Lab in 2016, where they set out to explore a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying early versions of Snorkel Flow's core technology with some of the world’s leading organizations, to empowering scientists, doctors, and journalists, they’ve seen firsthand how this approach democratizes and accelerates AI. Now, they’re working to bring their technology to everyone.
iMerit is working with customers to enrich and label their data and to achieve the best results from their algorithms. All the work powers advanced algorithms in machine learning, computer vision, natural language understanding, e-commerce, augmented reality, and data analytics. They work on data for transformative technologies such as advancing cancer cell research, optimizing crop yields, and training driverless cars to understand their environment.
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