Humanized Recommendations. Built to Scale.

  • Our engineers develop the algorithms.
  • Our data crafters capture moods and emotions into semantic data.
  • We bring the right content, to the right person at the right time.

Personalized Discovery based on  Trust, Transparency, and Controllability.

Humanized Recommendations. Built to Scale.

  • Our engineers develop the algorithms.
  • Our data crafters capture moods and emotions into semantic data.
  • We bring the right content, to the right person at the right time.

Personalized Discovery based on  Trust, Transparency, and Controllability.

0
unique Semantic Fingerprints
10 Million
Users per month
0 Billion
Recommendations per month

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

User Semantic Fingerprint™

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

How can you explain to your customers why they get recommendations without being creepy? 

Our User Semantic Fingerprint™ allows you to gain trust from your customers. They can clearly visualize every interaction they have with your platform. They can understand the consequences of each of their actions.

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.

sky gray

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

  • Jean Cayre

    Content Analyst

  • Farah Kraled

    Product Designer

  • Jordan Godefroy

    VP Content & Data
  • Némésis Srour

    Product Manager

  • Paul Noferi

    Senior Developer
  • Jérôme Saint-Clair

    Quality Assurance Engineer
  • Soumonos Mukherjee

    Data Scientist

  • Bryant Lotaut

    DevSecOps

  • Jordan Godefroy

    VP Content & Data
  • Chakib Khaldi

    Junior Developer

  • Théo Paillusson

    Business Affairs

  • Alexis Augusto

    Content Analyst

  • Jérôme Saint-Clair

    Quality Assurance Engineer
  • Paulo Henrique

    Head of Delivery and Operations

  • Giovanna Alvarez

    Content Analyst

  • Loubna Benjaafar

    DevOps

  • Amanda Batista

    Content Analyst

  • Cosmin Illes

    Marketing Manager

  • Jérémie Abiteboul

    CTO

  • Thibault D’Orso

    COO and Co-founder

  • Farah Kraled

    Product Designer

  • Serge Nogues

    VP API Product

  • Maguelonne Harang

    Quality Assurance Editor

  • Clément Charasson

    Senior Developer

  • Edith Esclapes

    Office Manager
  • Khouloud Sahli

    Senior Developer

  • Gabriel Mandelbaum

    CEO and Co-founder

  • Viviane Jordan

    HR Manager
  • Soumonos Mukherjee

    Data Scientist

  • Axel Raux

    Junior Developer

  • Paul Noferi

    Senior Developer
  • Tom Borel

    Senior Developer

  • Mewenn Brissonneau

    Communication Executive

  • Yohann Célérien

    Developer

  • Juliette Ducru

    Content Analyst
  • Némésis Srour

    Product Manager

  • François Martin

    Senior Content Analyst

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