Calculate your ROI with the Adomik Platform

Our mission is: Simplifying monetization for publishers

What we do

Our objective is to resolve the growing complexity of managing digital advertising for all departments in publisher organizations, allowing them to improve their business performance and grow their revenue seamlessly.

Our platform automatically collects advertising data from all monetization partners, normalizes and enriches it with data science to provide holistic reporting, price management, lead generation and dynamic troubleshooting.

Located in Paris, London, New York and Tokyo, we work with top publishers in more than 20 markets.

Key Figures

Impressions Processed A Day
Revenue Growth over The Past 4 Years
TB +
of Data Analyzed Per Day
Nationalities in Our Workforce

Our strategic partners


Our Values

Here at Adomik we strive to be the very best we can be and we want our employees to feel the same! These five values embody how we seek to accomplish our work everyday.

How we started

In 2012, our founders were working in advertising at a big publisher. One day they were asked to decide about the floor price for a website. They had no idea how to do it… and they realized that plenty of data was at their fingertips to make a rational decision.

However, it wasn’t easily accessible, it hadn’t been treated or made useful with any algorithms. So they decided on a random price that sounded ok… and then they took matters into their own hands… and thus Adomik was created.

Working at Adomik 

At Adomik, we’re “people” persons. We value working in a diverse environment and treasure interaction with our colleagues. Our headquarters are in Paris but many of us enjoy working remotely.
We’re explorers, foodies, musicians, innovators, gamers, synchronised swimmers, data artists, DJs, after-workers, backpackers, world cup champions, readers, hard workers, trivia lovers, friends, dreamers, experts, lousy foosball players, pranksters, parents… Adomikers!

Our technologies

We use scalable architecture based on Spark, Scala, Python, React, Ruby, ElasticSearch, Redis, Docker and more. Our platform ingest over 5 terabytes of data on a daily basis, store it and build analytics tools upon it. We also leverage advanced machine-learning technologies for our AI-based tools.