Clarifai

Clarifai is an artificial intelligence company that excels in visual recognition, solving real-world problems for businesses and developers alike. Founded in 2013 by Matthew Zeiler, a foremost expert in machine learning, Clarifai has been a market leader since winning the top five places in image classification at the ImageNet 2013 competition. Clarifai’s powerful image and video recognition technology is built on the most advanced machine learning systems and made easily accessible by a clean API, empowering developers all over the world to build a new generation of intelligent applications.

Case Studies

Showing 24 Clarifai Customer Success Stories

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Improving content moderation performance using AI

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Improving operational efficiency using AI-driven metadata generation

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AutosnapLive expands its reach into the automotive market with Clarifai

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Using AI-based image recognition to help customers mine data

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Protecting a global online community against offensive images, videos and text content

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Improving metadata tagging accuracy with AI and Computer Vision

Improving metadata description accuracy with AI and computer vision

Building a bigger, better visual search solution using AI

Using computer vision to organize and curate user generated content

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How a Fortune 100 retailer tripled their visual search accuracy for their shoppers

Improving SEO using Clarifai’s multi-language image recognition API

Using automated metadata generation to categorize content faster and more accurately

Using Computer Vision to Organize and Curate User Generated Content

Leveraging AI to increase asset search-ability

Connecting customers to products that match their style with snap and search

Reducing time to listing and increase product discoverability with AI

Using visual similarity search and auto-annotation to improve metadata generation accuracy

Using Pre-Trained NSFW Moderation Models to Improve Workforce Productivity

How a leading grocery retailer streamlined the shopping process using AI food classification and detection

Improving asset find-ability with AI metadata generation

Using visual search to identify and treat ear problems accurately

Building a product recommendation engine using Computer Vision

Building a scalable content moderation strategy using AI

Keeping children safe using artificial intelligence and content moderation

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