Appen Introduction
Appen is a leading global provider of high-quality training data for machine learning and artificial intelligence, offering end-to-end data annotation services and platform solutions.
View MoreWhat is Appen
Appen is a publicly traded data company founded in 1996 that specializes in collecting and labeling images, text, speech, audio, video and other data used to build and improve artificial intelligence systems. With over 25 years of experience, Appen works with tech giants and innovative companies worldwide to provide human-annotated datasets that power AI and machine learning models. The company has a global crowd of over 1 million skilled contributors across 130 countries who speak over 180 languages and dialects.
How does Appen work?
Appen operates through a combination of its proprietary data annotation platform and its global crowd of contributors. Clients submit data annotation projects through Appen's platform, specifying their requirements. Appen then leverages its crowd to complete the annotation tasks, which may include image labeling, text categorization, speech transcription, and more. The company uses AI-assisted annotation tools and quality control measures to ensure high accuracy. For more complex enterprise needs, Appen also offers managed services where its team of experts oversees the entire data preparation process. Additionally, Appen provides solutions for data collection, curation, and model evaluation to support the full AI development lifecycle.
Benefits of Appen
Using Appen provides several key benefits for companies developing AI. It offers access to a large, diverse crowd of annotators, enabling high-volume data labeling at scale. The company's expertise and quality control processes ensure consistently high-quality training data. Appen's flexible platform and range of services allow customization to meet specific project needs. By outsourcing data preparation to Appen, companies can accelerate their AI development timelines and focus internal resources on core competencies. Appen's global reach also facilitates the creation of multilingual and culturally diverse datasets critical for building robust AI models with broad applicability.
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