Appen B2B Case Studies & Customer Successes

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Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Their expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Their reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.

Case Studies

Showing 41 Appen Customer Success Stories

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How Adobe Stock used the Appen platform to build models to improve search relevance for their customers

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Airbus - Customer Case Study

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The Appen Data Annotation Platform and global crowd helps Brandwatch iterate quickly in data analytics

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The Appen Data Annotation Platform enables CallMiner to better serve its customers

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Appen data makes Internet safe for children through search relevance

CLEAR Global - Customer Case Study

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Dialpad achieves 88%+ transcription accuracy and scalable conversational ML training data with Appen

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EmPushy Leverages Appen Data Annotation Services to Improve User Experience

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FlamingoAI achieves fully autonomous, day-one virtual assistants with Appen

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Global Original Equipment Manufacturing Company achieves faster multilingual speech training and rapid market expansion for connected-car voice recognition with Appen

How GuildLink Uses Text-to-Speech Translation to Make Consumer Medicines Information More Accessible

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GuildLink achieves audio accessibility for consumer medicines information with Appen's text-to-speech solution

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GumGum achieves 10x faster model development and high-quality multilingual data annotation with Appen

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HERE Technologies achieves faster, scalable road-sign ground truth for map fine-tuning with Appen’s ML-assisted Video Object Tracking

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Appen’s custom datasets help Infobip to create conversational AI chatbots which improves satisfaction and lessens the cost of customer service

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The Appen Data Annotation Platform enabled Johns Hopkins University researchers to precisely and quickly label data to train their models, track spider movements and understand underlying behavioral motivations

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Preserving Language Through Useable Data and Phonetic Annotation

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Combating Wildfires with Computer Vision Saving the Planet with AI, One Forest at a Time

Leading Multilingual Search Engine and Mobile App Provider achieves accurate, up-to-date local listings (750,000+ verified) with Appen

Leading Multilingual Search Engine Provider achieves improved ad relevance and increased revenue with Appen

Leading Multilingual Search Engine Provider Company achieves vendor-neutral quality assurance and improved search reliability across 25 markets with Appen

Leading Multinational Software Provider achieves an optimized global eCommerce transaction funnel with Appen

Leading Multinational Technology Company achieves accurate children's ASR for North American edutainment apps with Appen

Leading Social Media Company achieves large-scale, high-quality training data and on-time product release with Appen

Leading Social Media Company achieves improved content relevance with Appen

Leading Software and Hardware Company achieves greater map accuracy with Appen

Leading Vehicle Electronics Software Company achieves smarter, more natural in-car voice recognition and rapid multilingual expansion with Appen

London School of Economics Takes Agile Approach to Data Labeling with Appen

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Major Global Ecommerce Company achieves rapid feature testing and scalable ad-hoc evaluations with Appen

Major International Software Provider achieves successful CLDR refresh across 66 markets with Appen

Major Social Network Provider Company achieves scalable, cost-effective search improvements with Appen

MediaInterface Expands to France With Pre-Labeled Datasets

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Microsoft achieves improved Bing search quality and rapid market expansion with Appen

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Appen data helps Microsoft promote equitable knowledge

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How Onfido's labeling tool enhanced machine learning

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The Appen Data Annotation Platform helps Realeyes label large volumes of data quickly with a culturally-diverse crowd

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Shotzr speeds up identifying images needing location metadata with Appen

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Trust Lab Making Social Media Safer Through Sentiment Analysis

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Appen’s Data Labeling Platform Helps Gaming Industry Giant Scale to Meet Customer Needs

Wellio achieves scalable, expert-labeled AI training data for its smart meal platform with Appen

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Zefr achieves 6.6x higher video processing throughput and improved data quality with Appen

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