Join the tourism & sportainment revolution

Data-driven software for smarter decisions

Ecran segmentation

Our Products


Have a complete and enriched vision of your activity.
Get answers. Instantly.

Dashboard analyse Discovery

Predict your attendance using machine learning
to properly size your capacities, staff and
manage your yield.

Dashboard Ecran Predictor

Generate additional demand, increase your revenue per unit and manage your media plan using Apollo Plus algorithms.

Dashboard modèle prédictif
Intérieur d'un vaisseau spatial

Use Cases



Years of collaboration with entertainment, ticketing, catering and accomodation companies shaped our mastery of heterogenous, incomplete and inconsistent datasets.

Our native normalization and enrichment data pipelines reduce your on-boarding time. We automate reporting with fresh, flawless and enriched data, the pillar of data crunching and sound decision-making.



We build granular and real-time reporting dashboards with relevant dataviz to spotlight things that were otherwise invisible to you.


Leverage data to monitor budget deviation, segmentation highs and lows but also recalibrate your marketing, sales and Ops strategies. You'll always be one click away from the answer you need.



Stop "guesstimating" and use robust predictive models to anticipate demand and to make enlightened Ops decisions using our tools.

Cluster and model your demand thanks to our algorithms developed with the CNRS. Go beyond intuitions and know how to invest on the right market at the right time with the right pricing strategy.
Share and support your decisions with evidence.

Our Clients


In their own words...

"Apollo Plus makes obvious things that were otherwise inaccessible to us"

Strategic benefits, because their solution manages to make obvious things that were otherwise invisible to us in a familiar context, and provides visibility in these extraordinary and confusing times of the Covid pandemic...

Laurent Albert témoignage Puy du Fou

Laurent Albert
General Manager, Puy du Fou