Real-World Case Studies and Customer Success Stories with Clarifai

Clarifai's AI content moderation platform helped 9GAG manage user-generated content. 9GAG faced a challenge with manual moderation as their platform grew. They needed to automate the process to prote...ct their 150 million users. Clarifai's pre-trained models enabled one developer to integrate AI moderation in four weeks. The solution checks over 20,000 images daily with 95% accuracy. 9GAG reduced moderation hours by over 90%, saving 145 hours per week.
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Clarifai AI lifecycle platform helped a media and digital advertising agency improve metadata description accuracy for images. The agency struggled to tag billions of social media images with their o...ld system. Clarifai's automated data labeling sped up metadata generation by 100 times. The agency increased asset offerings for customers by 4 times. They saved 90% on manual resource hiring. Customers now find images faster with better searchability.
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Clarifai platform helped a digital publishing agency automate image tagging with AI. The company received over 100,000 images per week but could only publish 10% due to lack of metadata. Clarifai aut...omated data labeling added relevant tags to images, saving time and resources. The agency increased the volume of images tagged per week by 10x. Website bounce rates dropped by 10%. Integration took just 4 hours.
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Clarifai's computer vision platform helped a world leader in film restoration and digitization speed up metadata tagging. The company needed to make old film archives easier to search for its custome...rs. Using Clarifai, they built a system that created a keyframe every three seconds and sent images to the Clarifai API for real-time indexing. This led to a 20x improvement in metadata tagging time-to-value. Tagging a piece of video footage now takes just 3 seconds. The company also saw a 1.5 minute increase in average website visit.
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Clarifai’s deep learning AI platform helped a leading online travel booking website improve image metadata with auto-tagging. The company used Clarifai’s pre-trained travel model to tag hotel photos,... making it easier for users to search and find images. Within one month, the company saw a 10% drop in visitor bounce rates and a 15% rise in conversion rates. Data labeling productivity and accuracy improved by 100 times. Profits increased, allowing the company to grow its technology team.
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Clarifai's AI platform helped a major grocery retailer build a food classification model for their online shopping app. The app used computer vision to identify food items in customer images and reco...mmend recipes through a Twitter bot. This solution increased the retailer's Twitter followers by 15,000 in two months. Website traffic from the online shopping page grew by 7% in three months. Shopping cart conversions rose to 4% above the industry average.
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Clarifai helped a Fortune 100 retailer improve product recommendations with its AI platform. The retailer used Clarifai to build a Snap and Search mobile app, letting shoppers find products by taking... pictures. Clarifai's AI-assisted data labeling made search accuracy 3 times better than before. The retailer removed thousands of duplicate images, lowered bounce rates by 12%, and is on track to boost revenue by 2%. Data labeling time improved by 10 times.
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Clarifai helped a Fortune 500 business retailer improve SEO using image recognition and multi-language classification. The retailer needed to add keyword metadata to product images in twelve language...s for their e-commerce sites. Clarifai’s API and visual recognition model automated keyword tagging and translation. The solution replaced agency work, saving over $10,000 in fees and cutting time-to-market by 80%. The retailer saw a 7% increase in monthly website traffic.
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Clarifai's computer vision AI platform powered a Pinterest Style Finder App for a leading home goods retailer. Shoppers struggled to describe their style, so the retailer used Clarifai to let users s...nap photos or use Pinterest pins to find matching products. The solution improved product discovery and matched customer preferences to inventory. Results included a 40% increase in pages per visit, a 33% reduction in bounce rates, and a 25% increase in revenue from website visitors.
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Clarifai's custom training and visual search helped a real estate marketplace leader build a product recommendation engine using computer vision. The platform hosts over 1.8 million images, with 30,0...00 new images added monthly. Clarifai enabled the company to automatically understand 1.5 million user-uploaded images and surface visually similar content. This led to a 30% reduction in website bounce rate and an average of 2.25 minutes spent on website pages. The custom solution improved user engagement and boosted conversions.
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Clarifai's computer vision platform helped Foap organize and tag user generated content. Foap needed a way to quickly and accurately tag thousands of daily photo uploads. Clarifai's deep learning mod...els automatically categorized and labeled images, improving content moderation and search. Foap saved 40 hours per week in manual tagging and saw a 30% increase in images tagged. The platform was fully implemented in under 2 hours, freeing up the team to focus on onboarding new clients.
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Clarifai's AI platform helped Behaviorally improve digital asset management for their clients. The company used Clarifai's visual search and image recognition to analyze over 10,000 package and shelf... designs. This let them replicate consumer decision making and speed up the design process. The deployment took just two weeks. Behaviorally launched a digital-first tool that impressed their key clients.
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Clarifai helped AutosnapLive speed up image classification for car dealerships. AutosnapLive needed faster ways to deliver high quality vehicle images as their old vendor was too slow, taking up to 6... days per model. With Clarifai’s platform and AI assisted data labeler, AutosnapLive reduced onboarding time by 100x, from days to minutes. They eliminated the need for multiple tools and saw a 200% increase in model output. This allowed them to expand their customer base, including luxury dealerships like Bentley and Rolls-Royce.
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Clarifai's computer vision and AI platform helped a leading digital asset management company in Switzerland improve asset searchability. The company wanted to automate and enhance metadata tagging fo...r better content discovery. Clarifai's pre-trained models delivered top accuracy, ease of use, and strong support. The solution led to a 50% improvement in time-to-value for model production, 90% better metadata tagging accuracy, and 80% reduction in data labeling time. Customers now find assets faster and spend less time tagging media.
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Clarifai's NSFW Moderation Model helped a leading photography and video marketplace improve content moderation. The company faced risks from user-uploaded content and could only review 1% of daily up...loads with a small team. They chose Clarifai for its accuracy and easy integration. In 12 weeks, they built a new workflow. Now, 100% of uploads are filtered in real time. Moderation accuracy improved over 700x. 70% of the moderation team moved to customer support.
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Clarifai's computer vision AI helped an international mobile app company in China organize and curate photos from 33 million daily users. The company used Clarifai’s automated data labeling to sugges...t edits, filters, and stickers based on image content. This made it easier for users to enhance their photos. The company saw a 90% increase in data labeling accuracy, 15% growth in its user community, and a 10x improvement in time-to-value for curating photos. Users became more engaged and happier with the app.
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Clarifai's deep learning AI platform helped a European media and entertainment company moderate content on its social media site for pre-teen children. The company faced challenges with a high volume... of user-generated images and messages, making manual moderation difficult. Clarifai's computer vision technology filtered out harmful and inappropriate images, protecting young users. The solution led to $46,000 in savings on human moderation costs, a 273x increase in images moderated daily, and a 100x boost in productivity with automated tagging.
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Clarifai helped OpenTable automate content moderation using AI and custom computer vision models. OpenTable could only review 300 images per day with manual moderation. After using Clarifai, they inc...reased moderation to 5,000 images per day per moderator. This led to a 16x boost in operational efficiency. OpenTable also reduced legal risks from unwanted content and copyright issues.
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Clarifai helped Acquia DAM automate metadata tagging for digital assets. Manual tagging was slow and hard as content grew. Clarifai’s AI sped up tagging by 100 times. Acquia DAM users now find images... by visual features, not just text. Untagged images are now searchable with keywords. This saves users many hours and improves content search and ROI.
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Clarifai's computer vision platform helped a leading digital asset management company improve metadata tagging accuracy. The company used Clarifai to auto-tag images, making it easier for customers t...o search and find assets. They launched two pilot apps: one integrated into their main product and another as a standalone tool. The solution recognized over 11,000 general concepts and improved tagging speed by 10x. Customers benefited from faster, more accurate asset descriptions.
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Clarifai helped a global photo app company automate metadata generation and image ranking. The company faced a challenge with 5,000 daily uploads and could not keep up using human moderators. Clarifa...i's AI platform grouped similar photos, compared them for quality, and tagged them accurately. The solution sped up metadata tagging by 100x and improved tagging accuracy by 98%. Average visitor page duration increased from one to four minutes, and monthly returning visitors doubled in two months.
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Clarifai’s AI platform helped an online peer-to-peer fashion marketplace improve product search and discoverability. The company used automated data labeling and moderation models to tag images and f...ilter inappropriate content. This led to a 30% increase in images tagged compared to manual efforts. The company saved 40 hours per week in manual tagging time. Specialty handbag labeling reached 98% accuracy, boosting conversions from more relevant search results.
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