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Snorkel AI is a company revolutionizing how artificial intelligence applications are built and deployed within enterprises. They focus on a data-centric approach to AI, offering Snorkel Flow, a platform that enables users to label and build training data programmatically. This method accelerates AI development by moving beyond manual data labeling, allowing for faster iteration, better model performance, and the ability to adapt to changing data and requirements. Snorkel AI's technology leverages weak supervision, foundation models, and programmatic labeling to help organizations create production-quality AI applications more efficiently and effectively.
Serves as the central hub for research and development, product management, engineering, sales, marketing, and corporate operations, driving the company's innovation in data-centric AI.
Modern office space designed to foster collaboration and innovation, likely featuring open-plan areas, meeting rooms equipped with advanced technology, and spaces for team interaction. Specific architectural details are not widely publicized but are consistent with a tech company in Silicon Valley.
Emphasizes innovation, collaboration, and a fast-paced learning environment. Employees often work on cutting-edge AI problems, contributing to a culture of intellectual curiosity and impact-driven development. Supports flexible work arrangements typical of modern tech companies.
Its Silicon Valley location provides access to a rich talent pool, venture capital, and a vibrant ecosystem of technology partners and customers, crucial for a leading AI company.
While headquartered in Redwood City, CA, with key hubs in New York and London, Snorkel AI supports a global customer base through a combination of direct presence and remote teams. Their platform, Snorkel Flow, is utilized by enterprises worldwide, and they provide global support, sales, and solution engineering to help organizations across various continents implement data-centric AI solutions effectively.
2400 Broadway, Suite 210
Redwood City
CA
USA
Address: A hub presence in New York City; specific street address not publicly listed, likely utilizing flexible office space to support its East Coast team.
To better serve East Coast enterprise clients, tap into the local talent pool, and expand Snorkel AI's market presence in key verticals on the Atlantic coast.
Address: A hub presence in London; specific street address not publicly listed, likely utilizing flexible office space to support its UK and European team.
To establish a strong foothold in the European market, cater to local enterprise needs, leverage the UK's position as a major tech and finance hub, and provide localized support to European clients.
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As of April 2025, Snorkel AI' leadership includes:
Snorkel AI has been backed by several prominent investors over the years, including:
Snorkel AI has made strategic additions to its leadership, particularly in technical and customer-facing roles, over the past year. For instance, Jeff Chou joined as Head of Solutions Engineering in May 2023. The company continues to build out its expert teams to support growth and innovation. No major executive departures have been publicly announced in the same period.
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Snorkel AI primarily utilizes the email format consisting of the employee's first name followed by '@snorkel.ai'. This is a common and straightforward pattern for many technology companies, designed to facilitate easy and direct communication with team members.
first@snorkel.ai
Format
alex@snorkel.ai
Example
90%
Success rate
Snorkel AI Blog • October 26, 2023
Snorkel AI unveiled its Fall 2023 release for Snorkel Flow, enhancing the platform with advanced capabilities for generative AI, large language model (LLM) development, and data-centric AI workflows. Key features include improved programmatic labeling for LLMs, new tools for model evaluation and error analysis, and streamlined integration with foundation models....more
Business Wire • July 19, 2023
Snorkel AI launched a new solution focused on GenAI data development and alignment for Large Language Models (LLMs). This offering aims to help enterprises build more accurate, adaptable, and governable LLM applications by programmatically creating and refining high-quality instruction tuning datasets....more
Snorkel AI Press Release • May 23, 2023
Snorkel AI announced a partnership with Microsoft to enable enterprises to build AI applications by combining foundation models with their own enterprise data. The collaboration integrates Snorkel Flow with Microsoft Azure services, aiming to accelerate the development of performant and adaptable AI solutions....more
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