Snorkel AI raises $100 million
Snorkel AI, a California-based AI data development platform, raised $100 million in Series D funding at a $1.3 billion valuation. Addition led the round and was joined by Prosperity 7 Ventures and existing investors Greylock, Lightspeed, BNY, and QBE Ventures. The round brings Snorkel AIʼs total funding to $237 million since its founding in 2019.
Snorkel’s AI Data Development platform enables enterprises to develop and operationalize AI systems by transforming their own proprietary data and domain knowledge into expert evaluation and training data. The platform makes the classifying and managing of unstructured data easier and faster which reduces the need for collaboration between business experts and data scientists, as well as solving for the technical requirements.
“We are seeing a surge of momentum around agentic AI, but specialized enterprise agents aren’t ready for production in most settings. Enterprises need domain-specific data and expertise to make this a reality. We’re excited to deliver on this need and help AI innovators develop expert data to bring their LLM and agentic systems into production with our new offerings, which round out Snorkel’s unified AI data development stack.” – Alex Ratner, Co-founder and CEO of Snorkel AI.
“To unlock Claude’s full potential, we need new evaluation approaches with domain expertise and human feedback. Anthropic is committed to working with innovators like Snorkel AI to ensure AI systems are refined, reliable, and aligned to enterprise needs.” – Kate Jensen, Head of Revenue at Anthropic.
“With innovations like Snorkel Expert Data-as-a-Service and Snorkel Evaluate, Snorkel AI enables organizations to build AI models more efficiently and ensure they perform at the highest levels in specialized, real-world applications. This powerful, data-centric approach is accelerating the deployment of reliable AI at scale — and we’re proud to partner with Snorkel AI as they redefine what’s possible in enterprise AI.” – Todd Arfman, Partner at Addition.
