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Compare Amazon Personalize vs V7 Darwin

Overview

Description

Amazon Personalize is a machine-learning web service that helps to improve site's user experience by automatically generating personalized recommendations based on millions of books, ... Read More

The Darwin Platform from V7 laboratories streamlines the annotation process with automated picture annotation and neural network training. With active learning, 10x faster labeling with ... Read More

Pricing Options
  • No free trial
  • $150,

Features

Total Features

0 Features

0 Features

Unique Features

No features

No features

Pricing

Pricing Option
      Starting From
      • Not Available
      • $150,
      Pricing Pans

      Monthly Plans

      Yearly Plans

      • Not Available
      • Not Available
      Pricing Pageamazon-personalize pricingv7-darwin pricing

      Other Details

      Organization Types supported
      • Medium Business
      • Large Enterprises
      • Small Business
      • Freelancers
      • Individuals
      • Medium Business
      • Large Enterprises
      • Small Business
      • Freelancers
      • Individuals
      Platforms Supported
      • Browser Based (Cloud)
      • Browser Based (Cloud)
      • Browser Based (Cloud)
      • Browser Based (Cloud)
      Modes of support
      • 24/7 (Live rep)
      • Business Hours
      • Online
      • 24/7 (Live rep)
      • Business Hours
      • Online
      API Support
      • Available
      • Available

      User Reviews

      User Ratings

      No Reviews

      not-available-review

      4.9

      ( 21 )

      5

      0

      4

      0

      3

      0

      2

      0

      1

      0

      Integrations

      Integration with other apps

      No Integration information available.

      No Integration information available.

      Media and Screenshots

      Screenshots

      No screenshots available.

      No screenshots available.

      Videos

      No videos available.

      video-0

      Alternatives

      Alternatives

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      Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].