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

  • Thibault D’Orso

    COO and Co-founder

  • Jade Ventard

    Content Analyst

  • François Martin

    Senior Content Analyst

  • Yohann Célérien

    Developer

  • Axel Raux

    Junior Developer

  • Mohamed Saidane

    Marketing & Communication Manager

  • Jérémie Abiteboul

    CTO

  • Chakib Khaldi

    Developer

  • Jérôme Benac

    Customer Success Manager

  • Yohann Célérien

    Developer

  • Myrtille Vandemeulebrouck

    Software Architect

  • Théo Paillusson

    Business Affairs

  • Julien Deflesselle

    Developer

  • Khouloud Sahli

    Senior Developer

  • Soumonos Mukherjee

    Head of Data Science & Analytics

  • Mohamed Saidane

    Marketing & Communication Manager

  • Maguelonne Harang

    Taxonomy Manager

  • Bryant Lotaut

    DevSecOps

  • Némésis Srour

    VP Product

  • Paulo Henrique

    Head of Delivery and Operations

  • Viviane Jordan

    HR Manager
  • Jean Cayre

    Content Analyst

  • Farah Kraled

    Product Designer

  • Hannah Taïeb

    Head of Business Development

  • Giovanna Alvarez

    Content Analyst

  • Juliette Ducru

    Content Analyst
  • Paul Noferi

    Tech Lead
  • Jérôme Saint-Clair

    Quality Assurance Engineer

  • Jérémie Abiteboul

    CTO

  • Jordan Godefroy

    VP Content & Data
  • Edith Esclapes

    Office Manager
  • Serge Nogues

    VP API Product

  • Loubna Benjaafar

    DevOps

  • Youssef Kitane

    Analytics Engineer

  • François Martin

    Senior Content Analyst

  • Paul Renet

    Product Owner

  • Michel Capot

    R&D Data Scientist