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Snorkel AI scores $35M Series B to automate data labeling in machine learning
One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. Snorkel AI wants to make it easier for subject matter experts to apply those labels programmatically, and today the startup announced a $35 million Series B.
It also announced a new tool called Application Studio that provides a way to build common machine learning applications using templates and predefined components.
Lightspeed Venture Partners led the round with participation from previous investors Greylock, GV, In-Q-Tel and Nepenthe Capital. New investors Walden and BlackRock also joined in. The startup reports that it has now raised $50 million.
Snorkel AI Launches Application Studio, the Fastest Way to Develop AI Applications, and Raises $35 Million in Growth Funding Led by Lightspeed Venture Partners
April 07, 2021 12:06 ET | Source: Snorkel AI Snorkel AI Palo Alto, California, UNITED STATES
PALO ALTO, Calif., April 07, 2021 (GLOBE NEWSWIRE) Snorkel AI, the company accelerating enterprise AI application development and deployment through programmatic data labeling, today announced Application Studio, a visual builder with templated solutions for common AI use cases based on best practices from hundreds of deployments and research at top academic institutions over the last six years. Application Studio is in preview and will be generally available later this year within Snorkel Flow, the first AI development platform to programmatically label data and train, deploy and analyze models iteratively.