Snorkel AI Announces $100 Million Series D and Expanded Platform to Power Next Phase of AI with Expert Data
REDWOOD CITY, Calif.--(BUSINESS WIRE)--Today, Snorkel AI announced general availability of two new product offerings on the Snorkel AI Data Development Platform: Snorkel Evaluate and Snorkel Expert Data-as-a-Service. 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. In addition, Snorkel AI announced it has raised $100 million in Series D funding at a $1.3 billion valuation, led by Addition. This new funding will fuel continued research and innovation in evaluating and tuning specialized AI systems with expert data.
While large language models (LLMs) offer immense potential, enterprises cannot confidently deploy them 'off the shelf' for specialized business cases. According to Gartner, through 2026, organizations that fail to establish scalable AI data practices will see over 60% of AI projects abandoned. Achieving production-ready AI requires domain-specific data for fine-grained evaluation and model tuning methodologies.
'We are seeing a surge of momentum around agentic AI, but specialized enterprise agents aren't ready for production in most settings,' said Alex Ratner, Co-founder and CEO of Snorkel AI. '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.'
Snorkel Evaluate
Snorkel AI is expanding its AI Data Development Platform with the general availability of Snorkel Evaluate, enabling users to build specialized, fine-grained evaluation of models and agents. Powered by Snorkel AI's unique programmatic approach to curating AI ready data, this new offering allows enterprises to scale their evaluation workflows to confidently deploy AI systems to production.
Snorkel Evaluate includes programmatic tooling for benchmark dataset creation, the development of specialized evaluators, and error mode correction. These tools help users go beyond generic datasets and off-the-shelf 'LLM-as-a-judge' approaches to efficiently build actionable, domain-specific evaluations.
'To unlock Claude's full potential, we need new evaluation approaches with domain expertise and human feedback,' said Kate Jensen, Head of Revenue at Anthropic. 'Anthropic is committed to working with innovators like Snorkel AI to ensure AI systems are refined, reliable, and aligned to enterprise needs.'
Snorkel Expert Data-as-a-Service
Snorkel Expert Data-as-a-Service is a white-glove solution to deliver expert datasets for frontier AI system evaluation and tuning to enterprises. 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.
The 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. Snorkel Expert Data-as-a-Service equips enterprises to mix in-house expertise and data with proprietary datasets developed using outsourced expertise.
Snorkel AI's Series D Funding and Market Momentum
The rollout of these new offerings underscores Snorkel AI's commercial momentum. Today, the company also announced it has raised $100 million in Series D funding at a $1.3 billion valuation, led by Addition, with participation from Prosperity 7 Ventures, existing investors Greylock and Lightspeed, and existing strategic investors including BNY and QBE Ventures. The 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.
'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,' said Todd Arfman, Partner at Addition. '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.'
The latest round follows Snorkel AI's strong growth trajectory across the Fortune 500 and AI startups, and its wide AI industry recognition, including features in Fast Company's Most Innovative Companies list and Forbes' AI 50.
Resources
Join Snorkel AI and innovators from Accenture, Comcast, Stanford University, QBE, University of Wisconsin-Madison, and more on June 26 for the virtual live event.
Watch the launch video featuring Snorkel's Co-founder and CEO and customer speak on the real-world impact of Snorkel Expert Data-as-a-Service and Snorkel Evaluate.
Read the blog post from Snorkel's CEO, expanding on the announcement and what it means for the future of enterprise AI.
See how Snorkel Evaluate and Snorkel Expert Data-as-a-Service are used to evaluate and develop a specialized agentic AI system for an enterprise use case in this blog post.
About Snorkel AI
Snorkel AI is building the Snorkel AI Data Development Platform for evaluating and tuning specialized AI at scale. Snorkel AI's offerings, including Snorkel Evaluate and Snorkel Expert Data-as-a-Service, accelerate evaluation and tuning of specialized AI systems with expert data—helping teams move from prototype to production at scale by leveraging Snorkel AI's programmatic data development technology.
Launched out of the Stanford AI Lab, Snorkel AI's platform is used in production by Fortune 500 companies, including BNY, Wayfair, and Chubb, as well as across the U.S. federal government, including the U.S. Air Force. Visit snorkel.ai and follow on LinkedIn or @SnorkelAI on X for more information.
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