Company Overview

About Snorkel AI

Snorkel AI Details

Founded

2019

Revenue

$5.8M

Funding

$138M

Team Size

180

What SIA Thinks

Snorkel AI provides an innovative approach to data labeling and machine learning that can drastically streamline your company's data processes. If you’ve ever struggled with the time and expense associated with labeling massive volumes of data, Snorkel AI might be the solution you need.

At its core, Snorkel AI offers a tool that allows users to create, modify, and manage training data sets for machine learning efficiently. Traditional data annotation is often labor-intensive and requires substantial human effort. Snorkel AI simplifies this by enabling you to programmatically label data, drastically reducing the manual workload. This helps teams focus on what really matters - building and improving their machine learning models.

With Snorkel AI, you can leverage existing resources such as weak supervision, labeling functions, and heuristics to automate much of the data labeling process. This means you can achieve higher levels of accuracy and reliability without the need for time-consuming manual intervention.

Snorkel AI is designed for businesses of varying sizes, making it scalable whether you're a startup looking to streamline operations or a large enterprise aiming to optimize your machine learning investments. The platform easily integrates with your current data operations and can handle diverse types of data - text, images, or more specialized formats.

What truly sets Snorkel apart is its focus on making data labeling accessible and manageable. It’s not just about providing a tool but enabling your team to harness machine learning more effectively. Whether it’s through the intuitive interface or robust support services, Snorkel AI aims to be a seamless addition to your data workflow.

By automating significant parts of the data preparation process, Snorkel AI empowers your business to invest more resources in developing robust machine learning models and insights that drive better decision-making.

Metrics History

7/22 - 4/24

Trending up by 5.2% this month
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Pros and Cons

Pros

  • Time-saving features
  • Boosts productivity
  • Improves accuracy
  • Scalable solution
  • User-friendly interface

Cons

  • High initial cost
  • Requires training
  • Dependency on updates
  • Potential data bias
  • Limited customization

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