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

  • Myrtille Vandemeulebrouck

    Software Architect

  • Gabriel Mandelbaum

    CEO and Co-founder

  • Jordan Godefroy

    VP Content & Data
  • Julien Deflesselle

    Developer

  • Jérémie Abiteboul

    CTO

  • Jérôme Saint-Clair

    Quality Assurance Engineer

  • Juliette Ducru

    Content Analyst
  • Soumonos Mukherjee

    Head of Data Science & Analytics

  • Hannah Taïeb

    Head of Business Development

  • Jade Ventard

    Content Analyst

  • Amanda Batista

    Content Analyst

  • Viviane Jordan

    HR Manager
  • Youssef Kitane

    Analytics Engineer

  • Juliette Ducru

    Content Analyst
  • Jérémie Abiteboul

    CTO

  • Mohamed Saidane

    Marketing & Communication Manager

  • Jérôme Saint-Clair

    Quality Assurance Engineer

  • Farah Kraled

    Product Designer

  • Némésis Srour

    VP Product

  • Paul Noferi

    Tech Lead
  • Jean Cayre

    Content Analyst

  • Myrtille Vandemeulebrouck

    Software Architect

  • François Martin

    Senior Content Analyst

  • Khouloud Sahli

    Senior Developer

  • Jordan Godefroy

    VP Content & Data
  • Clément Charasson

    Senior Developer

  • Bryant Lotaut

    DevSecOps

  • Yohann Célérien

    Developer

  • Giovanna Alvarez

    Content Analyst

  • Loubna Benjaafar

    DevOps

  • Julien Deflesselle

    Developer

  • Théo Paillusson

    Business Affairs

  • Paulo Henrique

    Head of Delivery and Operations

  • Paul Renet

    Product Owner

  • Edith Esclapes

    Office Manager
  • Chakib Khaldi

    Developer

  • Michel Capot

    R&D Data Scientist