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Appen Testimonials

  • “I talked about trust before in our industry being very important. We hand-curated everything because we didn't trust our quality process in the way that we do now with Appen. So, we're confident that when the model says it understands something, the Appen reviewers agree, and the score is high, it's almost always right.”

    Jon MorraChief Data Scientist

  • "As a native speaker of Sheng and Swahili, I was impressed by the level of detail and accuracy in the LSP document Appen delivered. It's a powerful tool that shows the endless possibilities for many underdeveloped languages and what can be done for those languages."

    Paul WaramaboSwahili Language Lead
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    4.7 / 5.0
    Customer References17 total
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    AYLIEN leverages Artificial Intelligence to empower thousands of forward-thinking enterprises and developers to collect, analyze, and understand vast amounts of human-generated content. They provide a range of content analysis solutions to businesses, developers, data scientists, marketers and academics. Their core offerings include packages of Information Retrieval, Machine Learning, and Natural Language Processing APIs.

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    4.7 / 5.0
    Customer References6772 total
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    Microsoft Azure is a growing collection of integrated cloud services—analytics, computing, database, mobile, networking, storage and web—for moving faster, achieving more and saving money. Any developer or IT professional can be productive with Azure. The integrated tools, pre-built templates and managed services make it easier to build and manage enterprise, mobile, Web and Internet of Things (IoT) apps faster, using skills you already have and technologies you already know. Microsoft is also the only vendor positioned as a Leader across Gartner’s Magic Quadrants for Cloud Infrastructure as a Service, Application Platform as a Service and Cloud Storage Services for the second consecutive year.

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    4.7 / 5.0
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    Private AI provides cutting edge Machine Learning models that are the best in the world at finding, redacting, and pseudonymizing PII from semi- and unstructured datasets. Their models hit 99%+ accuracy in 7 languages across over 50 different entity types, and deploy as a Docker container with out partners' existing infrastructure so that their data never leaves their environment and is never shared with Them.

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