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

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Data development

Overview

Expert-curated datasets for frontier AI

Use cases

See how our data improves frontier models

Specialized agents

Overview

Custom AI systems built to unlock ROI fast

Customer stories

Real-world results from enterprise deployments
Research

Research hub

Our latest papers and data-centric AI findings

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Compare model performance across benchmarks

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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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Amir Imani

The latest from Amir

Building an NLP application to analyze ESG factors in Earnings Calls using Snorkel Flow

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Building an NLP application to analyze ESG factors in Earnings Calls using Snorkel Flow

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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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Data development

Specialized agents

Customer stories

Research

Research hub

Open Benchmarks Grants

Resources

Resource library

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