Snorkel AI recently announced a few major milestones. For example, Snorkel AI announced it has raised $100 million in Series D funding at a $1.3 billion valuation, led by Addition. There was also participation from Prosperity 7 Ventures, existing investors Greylock and Lightspeed, and existing strategic investors including BNY and QBE Ventures.
This funding round brings Snorkel AIʼs total funding to $237 million since its founding in 2019. This fresh capital supports the company’s expansion of its engineering, research, and go-to-market efforts for its unified AI Data Development Platform.
General availability of new product offerings: Snorkel AI also announced general availability of two new product offerings on the Snorkel AI Data Development Platform: Snorkel Evaluate and Snorkel Expert Data-as-a-Service. And these launches advance its mission to turn knowledge into specialized AI, helping teams move from prototype to production at scale by leveraging Snorkel AI’s programmatic data development technology.
Value proposition: While large language models (LLMs) offer immense potential, enterprises have a hard time deploying them off the shelf for specialized business cases.
Snorkel Evaluate: Snorkel AI expands its AI Data Development Platform with the general availability of Snorkel Evaluate, enabling users to build specialized and fine-grained evaluation of models and agents. Powered by Snorkel AI’s unique programmatic approach to curating AI ready data, this new offering enables enterprises to scale their evaluation workflows to confidently deploy AI systems to production.
Snorkel Evaluate also includes programmatic tooling for benchmark dataset creation, the development of specialized evaluators, and error mode correction. And these tools help users go beyond generic datasets and off-the-shelf “LLM-as-a-judge” approaches to efficiently build actionable, domain-specific evaluations.
Snorkel Expert Data-as-a-Service: Snorkel Expert Data-as-a-Service is a white-glove solution for delivering expert datasets for frontier AI system evaluation and tuning to enterprises. And leading LLM developers are already partnering with Snorkel AI to create datasets for advanced reasoning, agentic tool use, multi-turn user interaction, and domain-specific knowledge.
This offering combines Snorkel’s network of highly trained subject matter experts with its unique programmatic technology platform for data labeling and quality control, enabling efficient delivery of specialized datasets. And Snorkel Expert Data-as-a-Service equips enterprises to mix in-house expertise and data with proprietary datasets developed using outsourced expertise.
How the funding will be used: This new funding will fuel continued research and innovation in evaluating and tuning specialized AI systems with expert data.
KEY QUOTES:
“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
