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What is SafetyKit?

Streamline your operations and improve precision in Trust and Safety initiatives through automation—no need for engineering skills, machine learning knowledge, or vendor involvement. By clearly defining the acceptable content guidelines for your platform, our AI agents will swiftly and accurately enforce these rules. With our quality monitoring tools, you can ensure that policies are consistently applied and easily replicated. In contrast to traditional machine learning models that incur significant costs for labeling and training, and the lengthy process of training human reviewers, our approach enables you to deploy new enforcement actions immediately, eliminating the requirement for retraining agents or models. Unlike conventional ML classifiers that often lack clarity in their decision-making, SafetyKit provides detailed explanations for each decision made, allowing you to comprehend the rationale behind every action. This level of transparency not only fosters trust but also strengthens your capacity to manage safety more effectively, ultimately leading to a more secure environment for users. The ease of integrating such solutions can significantly reduce operational burdens, allowing teams to focus on strategic initiatives instead.

What is Amazon Augmented AI (A2I)?

Amazon Augmented AI (Amazon A2I) streamlines the development of workflows essential for human assessment of machine learning predictions. By offering an easy-to-use platform for developers, Amazon A2I reduces the cumbersome tasks involved in setting up human review systems and managing multiple reviewers. In many machine learning scenarios, human evaluation is crucial, especially when dealing with predictions that carry low confidence, which is vital for verifying their correctness. For example, when processing data from scanned mortgage applications, human involvement is often required in cases of poor-quality scans or unclear handwriting. Creating functional human review systems can be a lengthy and expensive endeavor, as it involves designing detailed processes, building custom software for task management, and often coordinating large groups of reviewers. This level of complexity can discourage organizations from adopting essential review systems; however, A2I seeks to simplify this experience and enhance the feasibility of implementation. Ultimately, the aim is to empower businesses to integrate effective review mechanisms without the usual challenges.

Media

Media

Integrations Supported

AWS AI Services
AWS Secrets Manager
Amazon Fresh
Amazon Rekognition
Amazon SageMaker
Amazon Textract
Amazon Transcribe
Beats
Codeless Platforms BPA Platform
Commvault Cloud
Commvault HyperScale X
Splunk User Behavior Analytics
Velt

Integrations Supported

AWS AI Services
AWS Secrets Manager
Amazon Fresh
Amazon Rekognition
Amazon SageMaker
Amazon Textract
Amazon Transcribe
Beats
Codeless Platforms BPA Platform
Commvault Cloud
Commvault HyperScale X
Splunk User Behavior Analytics
Velt

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SafetyKit

Company Website

www.getsafetykit.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/augmented-ai/

Categories and Features

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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