Personalization and Recommendations

For All Streaming Platforms

  • Humanized content recommendations, like those of a trusted friend
  • Transparent personalization for your customers
  • Enhanced catalog exploration and content discovery

Take your streaming platform to the next level!

Personalization & Recommendations

For All Streaming Platforms

  • Humanized Content Recommendations, like those of a trusted friend
  • Transparent personalization for your customers
  • Enhanced catalog exploration and content discovery

Take your streaming platform to the next level!

1 Million
TITLES IN DATABASE
1 Million
Users per month
0 Billion
Recommendations per month

Open the Dialogue With the Algorithm

  • Powerful Data Visualization
  • Meaningful Recommendations
  • Transparent Results
  • Fully Controllable

With over 71% of online consumers demanding personalization, recommendation algorithms are a must-have for OTT platforms. 

We commit ourselves to developing a highly performing content-filtering system, so you can offer your customers the best viewing experience. We are experts in semantic metadata enrichment, and are unique in the industry. So turn to us – we’ll help you reduce churn and increase engagement!

Empower your Teams

CONTENT

Build knowledge on content and users to serve relevant & dynamic curation

PRODUCT

Intuitive, personalized and dialogue-driven experiences

MARKETING

Business Intelligence through users’ tastes and interests

ENGINEERING

Integrate recommendation seamlessly with the most simple API

Customer Stories

SVOD platforms need recommender systems

The collaboration with Spideo began in 2016, with an aligned vision. The business model was made on the basis of the growth of the ADN platform, which perfectly scaled with their needs throughout the years.

Explanations matter as much as Recommendations

With MyCanal, Canal+ engages customers and builds user loyalty by bringing together all video platforms into one coherent premium experience.

Recommendation is the new Customer Relationship

Televisa launches Blim in order to retain subscribers with exclusive Spanish speaking content on its own On-Demand platform.

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Avoiding seasonal churn with a 2-week integration

SVOD and OTT services experience the risk of churn due to seasonality. How can accurate and relevant recommendations help them in delivering the right content and avoid churn in such a context?

Seamless User Experience

Full Personalization

  • Higher Engagement
  • Accurate Recommendations
  • User Friendly UI
  • Humanized Interactions

Create business rules to improve performance.

The Faces Behind Recommendations

The Faces Behind Recommendations

  • Bryant Lotaut

    DevSecOps

  • Juliette Ducru

    Content Analyst
  • Jade Ventard

    Content Analyst

  • Alexis Augusto

    Content Analyst

  • Chakib Khaldi

    Developer

  • Gabriel Mandelbaum

    CEO and Co-founder

  • Thibault D’Orso

    CRO and Co-founder

  • Jean Cayre

    Content Analyst

  • Maguelonne Harang

    Taxonomy Manager

  • Jérôme Benac

    Customer Success Manager

  • Farah Kraled

    Product Designer

  • Jordan Godefroy

    VP Content & Data
  • Serge Nogues

    VP API Product

  • Jade Ventard

    Content Analyst

  • Amanda Batista

    Content Analyst

  • Khouloud Sahli

    Senior Developer

  • Thibault D’Orso

    CRO and Co-founder

  • Giovanna Alvarez

    Content Analyst

  • Juliette Ducru

    Content Analyst
  • Jérémie Abiteboul

    CTO

  • Némésis Srour

    VP Product

  • Viviane Jordan

    HR Manager
  • Clément Charasson

    Senior Developer

  • Mohamed ben Abdallah

    Cloud & Devops Engineer

  • Axel Raux

    Junior Developer

  • Chakib Khaldi

    Developer

  • Alexis Augusto

    Content Analyst

  • Edith Esclapes

    Office Manager
  • Bryant Lotaut

    DevSecOps

  • Alice Halimi

    Content analyste

  • Yohann Célérien

    Developer

  • Soumonos Mukherjee

    Head of Data Science & Analytics

  • François Martin

    Senior Content Analyst

  • Gabriel Mandelbaum

    CEO and Co-founder

  • Loubna Benjaafar

    DevOps

  • Youssef Kitane

    Analytics Engineer

  • Imad Khoudrani

    Junior Full Stack Developer