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  • 4.8 / 5.0 (15270)
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Sama Case Studies

  • A top 10 technology company turned to Sama to evaluate clarity, helpfulness, and compliance in AI prompts and outputs

  • Swift Cost-Effectively Scaled Annotations Without Compromising Accuracy

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    4.7 / 5.0
    Customer References5099 total
    About

    Google’s mission is to organize the world‘s information and make it universally accessible and useful. Since their founding in 1998, Google has grown by leaps and bounds. From offering search in a single language Google now offer dozens of products and services—including various forms of advertising and web applications for all kinds of tasks—in scores of languages. And starting from two computer science students in a university dorm room, Google now have thousands of employees and offices around the world. A lot has changed since the first Google search engine appeared. But some things haven’t changed: Google dedication to users and belief in the possibilities of the Internet itself.

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    4.7 / 5.0
    Customer References6772 total
    About

    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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    About

    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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