AI case study

GaggleWeb content filtering

Static blocklists couldn't keep pace with 250K new daily sites. Now, a two-tier AI instantly analyzes page screenshots to catch threats.

Published|today

Key results

Inappropriate Sites Identified
~245k
High-Risk Sites Identified
>55k
Detection Improvement
287%

Result highlights

Unlock 3 result highlights

The story

Context

An education technology provider monitoring student safety across thousands of K-12 school districts, navigating a digital environment where 250,000 new websites and millions of videos go live daily.

Challenge

Traditional blocklists could not keep up with the volume of new content, and broad filtering methods often restricted legitimate educational...

Solution
Unlock full story

Quotes

Unlock 2 more quotes

The company

K-12 online safety and mental well-being management software.

IndustryEducation & Training
LocationBloomington, IL, USA
Employees251-1K
Founded1999

The vendor

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

Similar Case Studies

Related implementations across industries and use cases

13 AI case studies in Content Moderation

142 AI case studies in Education & Training

1,299 AI case studies in Product Engineering