Integrate Recommendation and Predictive AI into your products or services to personalize content to each user Recommendation and Predictive AI offers a customized experience that brings real business value, by giving you the ability to make predictions and provide valuable recommendations to your users, anticipating to their needs.’s personalized Recommendation and Predictive AI is composed of several Software as a Service (SaaS) APIs that are easy to integrate with any model and can be incorporated into your products and services, providing an easy-to-use and agile end-to-end service.

Recommendation AI

  • Custom Content Recommendation API:

    Aimed at companies that want to offer highly personalized product recommendations at scale, Custom Content Recommendation allows you to build ad hoc product and service recommendations and parameterize your business rules.

    Thanks to’s multi-purpose general recommendation technology, you can build recommendations within your catalog of products and services, such as:

    • News
    • Music
    • Movies
    • Any type of Retail Products
    • And more...


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    Use Cases

    Enhance Entertainment with Custom Content TV & Movie Recommendations

    By using Recommendation and Predictive AI, a television service provider that offers cross-device viewing options can add value to their business through the creation of personalized recommendations for their users.

    Use Prebuilt News Recommendations to Keep Users Up-To-Date

    By using Recommendation and Predictive AI, a personal computing device company with users across multiple devices and platforms can add value to their business through the creation of personalized news recommendations.

    Personalized Fashion in Real Time

    By using Custom Content Recommendations, a clothing retailer can personalize item suggestions for their users, and even help them craft an outfit, based on products they have previously interacted with by purchasing, viewing, clicking, sharing, adding them to their shopping bag or wish list, etc. Plus, if a client adds a product to their shopping bag, the retailer can employ cross-selling and offer complementary products.

    • Prebuilt Recommendation API: provides a collection of domains for common case studies, with its own data and content. This functionality allows you to incorporate recommendations from’s collection of domains and integrate them into your operational systems. Employing's domains and selected content gives you the ability to offer users taste- and location-based recommendations about:

    • News
    • Sports
    • Movies
    • TV
    • Weather
    • Restaurants
    • And more...

    Available Prebuilt Recommendation API Domains


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    Movies & Theatre

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    TV Programming

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Predictive AI

  • Next Place Prediction API:

    Use to predict the next position of a user, based on their daily routine. With’s context-aware location prediction technology, you can deduce points of interest (Home, Office or different Leisure points of interest) using historical and habitual information, allowing you to make predictions based on user location.

    In order to be able to create recommendations, make predictions, and surpass the state-of-the-art, has developed hybrid models that combine Machine Learning, Bayesian, and Computational techniques, such as Neural Networks, Random Forest, and Latent Variable Models.

    Use Cases

    Anticipate Destinations with Personalized Next Place Predictions

    Automotive brands with entertainment systems installed in their vehicles can add value to their business, by creating personalized, predictive, in-car suggestions for their users. If a user tends to travel to certain destinations at specific times, the in-car entertainment system can use that knowledge to predict the destination and directions.

    Predictive Maintenance

    By using Predictive AI, manufacturers can ensure that maintenance is under control by predicting when each machine needs to be inspected and maintained, based on workload and time in use. Preventing production issues by alerting plant managers ahead of time means less downtime and a tighter production schedule.

    Predict the Perfect Getaway

    By implementing Predictive AI in their website, a hotel booking site can predict which options work best for the client, based on what lodging they have already clicked on and predicting their next click. Predicting the right getaway gives users a more streamlined, stress-free experience when booking a trip.