Snorkel AI, a company focused on making AI practical, announced its launch out of stealth with $15 million total funding from Greylock, GV, In-Q-Tel, and others.
The company also launched its end-to-end Machine Learning (ML) platform, Snorkel Flow. Snorkel Flow enables developers and non-developers alike to build and deploy AI applications in a fraction of the time by programmatically labeling and managing the “training data” that fuels modern AI. Customers using Snorkel Flow include top U.S. banks, government agencies, and other large enterprises.
“Despite spending billions of dollars on AI, few organizations have been able to use it as widely and effectively as they want to. This is because available solutions either ignore the most important part of AI today – the labeled training data that fuels modern approaches – or rely on armies of human labelers to produce it,” said Alex Ratner, CEO of Snorkel AI.
“Our end-to-end platform, Snorkel Flow, focuses on a new programmatic approach to the training data that enables enterprises to use AI where they couldn’t before.”
Image Credit: Snorkel AI