1 model across 1 family · Latest: Snorkel Mistral PairRM (2023-11)
Programmatic data labeling accelerates AI
Snorkel AI's portfolio covers 1 active model across 1 non-obsolete family, with task labels spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.
Portfolio context: 0 decision-task tags, 1 active tracked model, latest research stamp 2026-05-22.
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Active models
1
Non-deprecated SKUs linked to this researcher
Active families
1
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0 OSS
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Latest dated release
2023-11-15
Snorkel Mistral PairRM
Freshness
2026-05-22
Researched 13d ago
Release cadence
Showing 1 recent dated ships (full timeline below). Latest spotlight: Snorkel Mistral PairRM (2023-11-15).
Where this lab wins
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Anchor SKU: Snorkel Mistral PairRM (best sourced coding Q/$ in this portfolio).
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Snorkel AI is an American AI research organization founded in 2019. Programmatic data labeling accelerates AI. Snorkel AI ships 1 model family totaling 1 model, with the most recent release Snorkel Mistral PairRM in 2023-11. Notable families include Snorkel. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can. View official API endpoints, benchmark performance, and coding/agent fit for every Snorkel AI model.
About
Snorkel AI, originating from the Snorkel Research project at Stanford University, quickly established itself as a pioneer in the realm of data-centric artificial intelligence. Founded in 2019, the company is adeptly navigating the challenges of AI development by addressing the scarcity of labeled training data through innovative techniques like programmatic labeling and weak supervision. This foundational work was spearheaded by its founders, including Alexander Ratner and Chris Ré, who are central figures in the evolution of AI research. At the heart of Snorkel AI's success is its flagship product, Snorkel Flow, a groundbreaking platform that automates the data labeling process, making it a leader in the creation of generative AI and large language models (LLMs). This platform enables companies to label data programmatically, eschewing the traditional, labor-intensive manual methods. By encoding domain expertise into labeling functions, Snorkel Flow allows for significant acceleration in the data preparation phase, enabling enterprises to deploy AI applications rapidly. This efficiency is particularly crucial in sectors like healthcare, finance, and government where precise, high-quality data underpins success. In its approach to generative AI, Snorkel AI acknowledges the challenges inherent in using LLMs such as GPT-4 and Llama 2 for enterprise applications due to their generalized nature. The company advocates for the fine-tuning of these models with tailored datasets that mirror the specific needs of businesses. This customization not only enhances the accuracy of the models but also ensures that they adhere to regulatory standards and internal governance policies. Through Snorkel Flow, users can create domain-specific datasets that yield significant performance improvements in specialized tasks. Snorkel AI's research contributions further underscore its authority in the field, with over 170 peer-reviewed publications focusing on data-centric AI methodologies. Their technologies have been validated through deployment in high-profile organizations, including Apple and the U.S. Department of Defense, demonstrating their effectiveness in practical applications. The company's innovative approach has attracted substantial financial backing, with approximately $135 million raised from investors like Greylock Partners and Google Ventures. Thus, Snorkel AI is shaping the future of AI by revolutionizing data labeling and model fine-tuning, empowering industries to develop high-performance AI solutions tailored to their unique needs. With a robust research foundation and strong investor confidence, Snorkel AI is poised to drive significant advancements in AI technology and applications.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| Snorkel Mistral PairRM | 2023-11-15 | 32k | $0.2 | $0.2 | Proprietary |
Model families
Recent releases
- Snorkel Mistral PairRM- 2023-11-15
FAQ
Who founded Snorkel AI and when?
Snorkel AI was founded in 2019 and is associated with Redwood City, California, United States.
What models has Snorkel AI released?
Snorkel AI ships 1 model across 1 family: Snorkel.
Is Snorkel AI's technology open source?
Snorkel AI's models are proprietary.
Where is Snorkel AI headquartered?
Snorkel AI is headquartered in Redwood City, California, United States.
What is Snorkel AI known for?
Programmatic data labeling accelerates AI. Its most prominent tracked family is Snorkel.
How can I access Snorkel AI's models?
Snorkel AI's models are available via Fireworks AI and Together AI.
Explore related pages
Last reviewed: 2026-05-22. Data sourced from public lab announcements and provider documentation.