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What is Snorkel AI?

The current advancement of AI is hindered by insufficient labeled data rather than the models themselves. The emergence of a groundbreaking data-centric AI platform, utilizing a programmatic approach, promises to alleviate these data restrictions. Snorkel AI is at the forefront of this transition, shifting the focus from model-centric development to a more data-centric methodology. By employing programmatic labeling instead of traditional manual methods, organizations can conserve both time and resources. This flexibility allows for quick adjustments in response to evolving data and business objectives by modifying code rather than re-labeling extensive datasets. The need for swift, guided iterations of training data is essential for producing and implementing high-quality AI models. Moreover, treating data versioning and auditing similarly to code enhances the speed and ethical considerations of deployments. Collaboration becomes more efficient when subject matter experts can work together on a unified interface that supplies the necessary data for training models. Furthermore, programmatic labeling minimizes risk and ensures compliance, eliminating the need to outsource data to external annotators, thus safeguarding sensitive information. Ultimately, this innovative approach not only streamlines the development process but also contributes to the integrity and reliability of AI systems.

What is Alegion?

An advanced labeling platform designed for various stages and types of machine learning development is at your service. By utilizing a collection of top-tier computer vision algorithms, we can swiftly identify and categorize the content within your images and videos. Traditionally, creating thorough segmentation data has been a labor-intensive endeavor; however, our machine assistance can enhance productivity by up to 70%, ultimately conserving both time and financial resources. We harness machine learning to suggest labels that facilitate and expedite human labeling processes, employing computer vision models that can automatically detect, localize, and classify elements in your images and videos before passing the task to our skilled workforce. This approach to automatic labeling not only decreases labor costs but also allows annotators to focus on the more intricate aspects of the annotation process. Furthermore, our video annotation tool is engineered to natively support 4K resolution and lengthy videos, incorporating cutting-edge features such as interpolation, object proposal, and entity resolution, ensuring a comprehensive and efficient annotation experience. With our platform, you can achieve higher accuracy and efficiency in your machine learning projects.

Media

Media

Integrations Supported

Dask
Kubernetes
TensorFlow

Integrations Supported

Amazon S3
Azure Storage
Google Cloud Storage

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$5000
Hourly rates for Control SaaS and Alegion Managed Platform offerings. Hourly, per project, and per annotation pricing model options for Fully Managed Labeling Services.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Snorkel AI

Date Founded

2019

Company Location

United States

Company Website

snorkel.ai/

Company Facts

Organization Name

Alegion

Date Founded

2014

Company Location

United States

Company Website

www.alegion.com

Categories and Features

AI Development

Not specified

Data Annotation

Not specified

Data Labeling

Not specified

Machine Learning

Not specified

Categories and Features

Computer Vision

Blob Detection & Analysis
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration

Data Annotation

Not specified

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Data Preparation

Data Transformation
Machine Learning
Visual User Interface

Image Annotation

Not specified

Machine Learning

Natural Language Processing (NLP)

Natural Language Processing

Named Entity Recognition
Part-of-Speech Tagging
Sentence Segmentation

Video Annotation

Not specified

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