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Research-led data and environment development for the frontier's hardest problems

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Expert-curated datasets for frontier AI

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See how our data improves frontier models

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Funding for open-source AI research

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Agentic Coding benchmark

A benchmark for evaluating AI models on complex, real-world coding tasks that require multi-step reasoning, tool use, and autonomous problem-solving.
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Terminal-Bench 2.0

Developed by Stanford and Laude Institute with contributions from Snorkel AI, it’s a major leap forward in evaluating AI coding agents.
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Lynn Thompson

Global Head of Strategy and Partnerships

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Why QBE Ventures invested in Snorkel AI

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Why QBE Ventures invested in Snorkel AI

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AI data development services

Accelerate the development of frontier AI models with expert-curated, enterprise-grade data.

Learn how Snorkel’s Data-as-a-Service helps teams label, refine, and evaluate high-quality, domain-specific datasets for your projects.

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Build specialized agents

Explore how Snorkel can collaborate with your product and development teams to build and deploy custom AI and agentic systems.

Solutions undergo rigorous testing based on your business criteria to ensure positive ROI, faster.

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Join the Snorkel Expert Contributor community and help shape the future of AI with your expertise.

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Capabilities

Data development

Specialized agents

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Research

Research hub

Open Benchmarks Grants

Resources

Resource library

Reading Group

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