Product launch

Turn expert knowledge into specialized AI at scale

Announcing Snorkel Evaluate and Snorkel Expert Data-as-a-Service, new products extending Snorkel 's AI Data Development Platform for specialized AI at scale.

Snorkel AI Data Development Platform

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, and can choose between in-house data development or white-glove dataset delivery.

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AI data development and delivery for specialized AI

Snorkel Evaluate

Perform specialized evaluations of AI systems, models and agents with powerful tools for benchmark dataset curation, specialized evaluator development, and human expert annotation and review.

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Trusted by world-leading organizations

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Seven of the world’s top global financial institutions use Snorkel

Latest Case Study
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How Experian improved agent response times under 3 seconds with Snorkel Evaluate

Experian’s customer support team used to require agents to manually find and customize templates to respond to common questions. Leadership recognized an opportunity to improve response times and customer experience by using an LLM system to automatically handle a significant portion of support emails—enabling human agents to focus on more complex requests.

8%

Improvement in
Net Promoter Score

1-3s

Agent response time

CASE STUDY

F500 telecom uses Snorkel to improve virtual assistant CX

Our client, one of the largest telecommunications companies in the U.S., engages with millions of customers annually through its digital support agent.

CASE STUDY

Rox achieved 99% accuracy with Snorkel Evaluate

Achieved 99%+ accuracy with specialized evaluators enabling sufficient trust to ship a critical email outbound feature.

Trusted by industry leaders

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Everything in AI ultimately comes back to the data. For agentic systems in particular, carefully designed benchmarks and high-quality ground truth labels are essential to understand and improve performance. AWS shares Snorkel’s vision of data as a differentiator and the importance of advanced agentic AI evaluation, and we look forward to deepening our partnership to help enterprises unlock the full potential of their data and AI.

Peter Williams
Global Head of Financial Services Partner Technology at AWS
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We’re at an inflection point where AI agents must deliver real enterprise value. 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 to ensure AI systems are refined, reliable, and aligned to enterprise needs.

Kate Jensen
Head of Revenue, Anthropic
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Rox is redefining the revenue stack with our AI-powered sales platform. Off-the-shelf models aren’t capable of delivering the quality we need to ensure our agents are accurately personalizing outbound emails. With Snorkel Evaluate we have been able to confidently assess our outbound email agent, then identify and fix issues to achieve human-level accuracy. The level of visibility and control Snorkel delivers is a huge advantage as we build trustworthy, agentic AI at scale.

Shriram Sridharan
Co-founder, Rox
    Born at the Stanford AI lab

    Research with real-world impact


    Snorkel began in 2015 as the Snorkel Research project at the Stanford AI lab in collaboration with Google, Intel, DARPA, and other leading organizations.

    The Snorkel AI team and affiliated researchers have been at the cutting edge of AI with over 170 published peer-reviewed research papers with special recognition at events such as NeurIPS, ICML, and ICLR.

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    Seamless interoperability with your tech stack.

    The Snorkel Enterprise AI Platform is an integration-first platform that works with your existing AI/ML stack so you can continue to use the technologies you know and trust.

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    Ready to accelerate AI development?

    Deploy production AI and ML applications 10-100x faster with Snorkel Flow, the AI data development platform.
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