Snorkel AI Bet on Expert Data, But Can They Keep Up?

“Building expert-level agentic AI requires expert-level data” - Alex Ratner, CEO at Snorkel AI One of the biggest hurdles Gen AI enterprises face is ensuring models can be trusted in real-world, specialized settings. That’s the challenge Snorkel AI was founded to solve in 2019. By shifting focus from model development to data development, Snorkel aimed to address the lack of high-quality, domain-specific training and evaluation data. Now, competitors such as Labelbox and Scale have seized the moment to position their platforms as end-to-end solutions. In an increasingly crowded market, Snorkel’s bet on expert-guided, data centric AI is in question. The Palo Alto-based startup just announced a $100 million Series D round, bringing its total funding to $237 million and its valu