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Content Moderation

Enabling better customer experience, using AI-powered content moderation.

Over

60%

customers prefer to have their
content moderated

Over

33%

of customers prefer to walk away from a
brand after a bad experience

Customer experience has always been one of the top priorities for every business. As consumers move digital, brands have to ensure a seamless experience across all touch points. Brands have to be cautious about the content being exchanged in their forums, leading to the necessity for real time content moderation.

Our Expertise

Our solution, ValueLabs Sift, uses AI-driven content moderation to tag and filter content in a quick, safe, and reliable manner. It is highly scalable and has helped us transform content moderation requirements in sectors such as social networks, kids’ platforms, online communities and gaming.

Solution Overview

Features

Tag content as per content ratings
Support images and text
API integrations
Customized workflows
Word and image filters
Near-real time results
Adaptive AI Engine

Case Studies

Automated censoring for movies using a speech to text deep learning model

Our solution, ValueLabs Sift, uses AI-driven content moderation to tag and filter content in a quick, safe, and reliable manner. It is highly scalable and has helped us transform content moderation requirements in sectors such as social networks, kids’ platforms, online communities and gaming.

Automated Image Tagging

The client wanted to assign labels to images that correspond to objects present within it. We developed a solution that would extract meta data captured by the camera, accurately classify and identify objects and backgrounds present in the image.

Image segmentation and personalization

The client required a solution to extract human silhouettes from an image to be able to use on other backgrounds. We developed a solution that could detect boundaries around human figures in an image and mask the region. It could then subtract the background and segment the region containing humans.

Business problems? Technology challenges?

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