Appen platform: Use-Cases, Insights and Reviews | 2026 Cuspera

Appen partnered with a frontier robotics lab to support Physical AI development. The lab needed high-quality annotation of egocentric video and nuanced evaluation of robot performance. Appen delivere...d over 50,000 units of annotated and evaluated data. This helped the lab improve robot performance in domestic household environments. The project used Appen’s global workforce and structured workflows for scalable results.
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Appen's platform helped a major global eCommerce company speed up ad-hoc feature testing. The company needed fast, flexible evaluation for site features without using up internal resources. Appen pro...vided project management, a pool of experienced raters, and a platform with API integration. Projects launched within two days and finished in two to three days on average. The client scaled evaluations, kept quality high, and met tight deadlines while staying on budget.
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Appen Platform helped the Allen Institute for AI label over 100 million citations for Semantic Scholar. The team used Appen's quality control features to quickly set up annotation tasks and improve a...ccuracy. The citation intent classification model reached over 80% accuracy. Eight million scholars now use Semantic Scholar monthly. The platform saved time with real-time feedback and easy task adjustments.
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Appen helped Nearmap scale its AI for aerial imagery with high-volume data annotation. Nearmap needed a flexible, high-quality workforce to manage complex 3D image annotation. Appen provided a dedica...ted team, growing from 5 to over 180 analysts, and delivered over 180,000 hours of annotation annually. This partnership accelerated Nearmap’s AI product launches and ensured operational resilience. Nearmap maintained high quality and throughput while meeting growing demand.
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Appen helped Infobip speed up AI chatbot deployment by providing high-quality, crowdsourced datasets in multiple languages. Infobip needed fast, accurate data to train its Answers chatbot platform fo...r global clients. Appen delivered hundreds of unique utterances per intent, meeting a 95% relevance threshold. This partnership reduced Infobip's time to deployment and improved chatbot training quality. Infobip valued Appen's managed services and quick support for tight project deadlines.
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Microsoft Translator used Appen's AI data solutions to expand its translation platform to 110 languages. Microsoft faced challenges sourcing and annotating data for rare languages. Appen sourced nati...ve speakers and provided high-quality, annotated datasets. The collaboration enabled Microsoft Translator to support 108 new languages, including endangered ones. This helped preserve linguistic diversity and improved global access to knowledge.
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