Snorkel AI is a data-centric artificial intelligence platform that accelerates the development, evaluation, and deployment of specialized AI by providing expert data and programmatic data labeling solutions. Snorkel AI empowers organizations to build and adapt AI systems efficiently with its proprietary techniques in programmatic data labeling and weak supervision, enabling faster, higher-quality AI model development.
Snorkel AI's platform is designed to address one of the most significant challenges in AI: creating and managing high-quality training and evaluation data. Its core offering includes a full AI data development platform that enables users to generate labeled datasets programmatically, reducing the manual effort and cost typically associated with data annotation. In addition to the platform, Snorkel AI offers Snorkel Expert Data-as-a-Service, providing expert-level training and evaluation data, as well as AI/ML Solution Services for organizations seeking custom models and tailored evaluations.
How Was Snorkel AI Started?
Snorkel AI originated from pioneering research at the Stanford AI Lab, where its founders spent over five years advancing the fields of programmatic labeling and weak supervision. This foundation in cutting-edge academic research directly informs the company's approach to developing scalable, data-centric AI solutions for enterprise and research applications.
Who Uses Snorkel AI?
Snorkel AI's customers include major financial institutions, healthcare organizations, insurers, and technology-driven enterprises looking to build and maintain advanced AI systems. Notable clients include:
- BNY Mellon
- Memorial Sloan Kettering Cancer Center
- Chubb
- QBE Insurance
- Wayfair
- Experian
- Several global banks, Fortune 500 telecoms, government agencies, and five of the top ten US banks
These organizations leverage Snorkel AI to streamline data labeling, enhance AI model quality, and accelerate deployment in regulated and data-intensive industries.
What Makes Snorkel AI Different?
Snorkel AI stands out for its data-centric approach, focusing on the creation and management of expert data as the foundation for robust and specialized AI. Its use of programmatic data labeling and weak supervision techniques enables organizations to rapidly iterate and adapt AI models with less manual effort, improving both efficiency and accuracy. The combination of platform, expert data services, and custom AI solution services positions Snorkel AI as a comprehensive partner for enterprises aiming to operationalize AI at scale.
Leadership Team
Snorkel AI is led by CEO Alexander Ratner, whose work at Stanford AI Lab was instrumental in the development of programmatic labeling. Other notable team members include Ania Lubowicz, Rob Smoot (with prior leadership experience at Snowflake, DataRobot, and VMware), Ronaldo Ama, and Jason Dupree. The leadership team brings together deep expertise in AI research, engineering, and enterprise technology.
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