Snorkel AI, the company redefining how AI is built with programmatic data development, today announced the general availability of two new offerings on its Snorkel AI Data Development Platform:
- Snorkel Evaluate – Fine-grained, domain-specific model evaluation tools
- Snorkel Expert Data-as-a-Service – White-glove delivery of expert-tuned datasets for AI evaluation and tuning
These products address a growing enterprise demand for domain-specific data and evaluation tools required to safely and effectively move LLMs and agentic AI systems into production at scale.
Snorkel AI also announced $100 million in Series D funding at a $1.3 billion valuation, led by Addition, with participation from Prosperity 7 Ventures, Greylock, Lightspeed, and strategic investors including BNY and QBE Ventures.
“Specialized enterprise agents aren’t ready for production in most cases. Enterprises need domain-specific data and expertise to make this a reality.”
— Alex Ratner, Co-founder and CEO, Snorkel AI
Snorkel Evaluate: Purpose-Built Model Evaluation at Scale
Snorkel Evaluate equips AI teams with tools to:
- Build domain-specific benchmark datasets
- Develop custom evaluators
- Identify and correct error modes
Unlike generic “LLM-as-a-judge” approaches, Snorkel Evaluate uses programmatic labeling and feedback loops to deliver actionable evaluations aligned with business needs.
Snorkel Expert Data-as-a-Service: Curated AI Data, Delivered
This new white-glove solution enables enterprises to receive high-quality, expert-labeled datasets for:
- Multi-turn user interactions
- Agentic tool use
- Advanced reasoning tasks
- Domain-specific tuning
It blends Snorkel’s proprietary programmatic labeling platform with a network of SMEs (subject matter experts) to deliver customized data efficiently.
$100M Series D Fuels Platform Expansion
Snorkel AI’s Series D raise brings total funding to $237 million since its 2019 founding. The funding will accelerate:
- R&D in AI model evaluation and tuning
- Expansion of Snorkel’s expert-labeled data services
- Growth of go-to-market and customer success teams
The investment highlights Snorkel AI’s rising influence across the Fortune 500, AI startups, and academic collaborations, with recent recognition from Fast Company’s Most Innovative Companies and Forbes’ AI 50.
Enterprise Context: Why It Matters
According to Gartner, over 60% of AI projects will fail without scalable data practices. Snorkel’s unified data development approach helps enterprises overcome common hurdles in:
- Fine-tuning models with relevant context
- Evaluating performance with actionable granularity
- Scaling AI systems confidently and safely
Get Involved
Event: Join Snorkel AI, Anthropic, Accenture, Comcast, Stanford, and others on June 26 for a virtual live event.
Watch: See Snorkel’s CEO demo the new offerings in the launch video.
Read: Blog post by CEO Alex Ratner on why expert data is the missing piece in scalable enterprise AI.
Use Case: Explore a real-world agentic AI system built using Snorkel Evaluate + Expert Data in this customer blog.
