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

  • Sacha Houri

    Sales Development Representative

  • Alexis Augusto

    Content Analyst

  • Théo Paillusson

    Business Affairs

  • Gabriel Mandelbaum

    CEO and Co-founder

  • Vivien Phou

    Product Owner

  • Aveek Mukherjee

    VP SaaS & Analytics

  • Chakib Khaldi

    Junior Developer

  • Khouloud Sahli

    Senior Developer

  • Myrtille Vandemeulebrouck

    Software Architect
  • Juliette Ducru

    Content Analyst
  • Jérémie Abiteboul

    CTO

  • Hannah Taïeb

    Marketing Manager

  • Mewenn Brissonneau

    Communication Executive

  • Serge Nogues

    VP Enterprise Business

  • Gabriel Mandelbaum

    CEO and Co-founder

  • Loubna Benjaafar

    DevOps

  • Théo Paillusson

    Business Affairs

  • Thibault D’Orso

    COO and Co-founder

  • Tom Borel

    Senior Developer

  • Némésis Srour

    Product Manager

  • Jordan Godefroy

    VP Content & Data
  • Aveek Mukherjee

    VP SaaS & Analytics

  • Cosmin Illes

    Marketing Manager

  • Maguelonne Harang

    Content Analyst & Quality Assurance Editor

  • Vivien Phou

    Product Owner

  • Paul Noferi

    Senior Developer
  • Paulo Henrique

    Head of Delivery and Operations

  • Chakib Khaldi

    Junior Developer

  • Farah Kraled

    UX Researcher

  • Jade Ventard

    Content Analyst

  • Edith Esclapes

    Office Manager

  • François Martin

    Senior Content Analyst
  • Soumonos Mukherjee

    Data Scientist

  • Bryant Lotaut

    DevSecOps

  • Alexis Augusto

    Content Analyst

  • Giovanna Alvarez

    Content Analyst

  • Yohann Célérien

    Developer

Find us on Welcome To The Jungle