AI - Snorkel

Redefining industry-specific AI solutions through Data-centric technology and expert collaboration, empowering businesses across banking, healthcare, government, insurance, and telecommunications.

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About Snorkel

Snorkel is a pioneering company specializing in the development of advanced Artificial Intelligence (AI) applications. They leverage data-centric AI technology to create customized solutions for various industries, including banking, healthcare, government, insurance, and telecommunications. The company's mission is to redefine how AI applications are built and made accessible to businesses and organizations.

Snorkel offers an extensive range of AI applications such as document classification, named entity recognition, information extraction, conversational AI, and sentiment analysis. These solutions cater to the unique needs of different industries by improving performance, solving domain-specific challenges, and collecting valuable data.

In the banking sector, Snorkel's applications facilitate personalized customer interactions, manage risk, and enhance resource management. For healthcare organizations, they speed up clinical trials, improve patient outcomes, and advance research. In government sectors, Snorkel builds machine learning models and AI applications for various missions and use cases. In insurance, the company detects fraud, speeds up claims processing, and optimizes underwriting workflows. Telecom companies benefit from assessing network health, tailoring customer support, and identifying security risks.

The technology behind Snorkel's solutions includes Data-centric AI, data labeling, Foundation models, Generative AI, Large language models, Programmatic labeling, Weak supervision, and the Snorkel research project. They work with a diverse ecosystem of partners to deliver value through data-centric AI.

Snorkel Flow, a key product from Snorkel, helps businesses efficiently harness the collective expertise of their Subject Matter Experts (SMEs) and annotation teams by seamlessly collaborating directly with business and data science teams. This fosters innovation and unlocks the potential of AI for high-value use cases in various industries.

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