Snorkel AI scores $35M Series B to automate data labeling in

Snorkel AI scores $35M Series B to automate data labeling in machine learning – TechCrunch


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.

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