The next generation bid engine bringing media buyers amazing performance.

Make the most of every impression opportunity with machine learning that works

Worldwide media buyers are using Scibids’ cutting-edge bidding models to tackle at scale their performance, productivity and optimization challenges.

Performance

Scibids assess the real value of each impressions and bids accordingly, leading to tremendous performance uplifts.

Productivity

We have models that learn models and everything is fully automated. Using Scibids technology is like having hundreds of traders working on each campaign

Optimization

No algorithms should be a blackbox. The AI shares what it learnt into amazing dashboards, providing traders with a lot of insights and value.

Solution

APPNEXUS SUMMIT 2017

A picture is worth a thousand words: In this short video PhD Remi Lemonnier, co-founder of Scibids, explains how Scibids is using machine learning and how much better it is compared to the main stream.
Our mission is to solve the fundamental optimization problem of real-time bidding : maximize the "estimated value of an impression" minus the "estimated price of this impression" Remi Lemonnier, co-founder Scibids Technology
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They trust us

Some trading desks amongst the most advanced already benefit from cutting-edge artificial intelligence helping them optimize their campaigns.
Amnet
Bmind
Digilant
Gamned
GroupM
Clients

Performance display

Acquiring new clients in a profitable way is the crux of every marketing issue. Scibids’ customers are using machine learning-driven display campaigns in order to achieve objectives at scale with a cost per objective below the profitability threshold or the target. This includes campaigns such as:

  • New clients (e-commerce websites, ROIstic advertisers,...)
  • Leads generation (bank quotation, gaming,...)
  • App downloads
  • Watched videos

Most of the clients say that the help of Scibids made an immediate difference in their ability to reach the next level in growth. Explain us your needs in the contact form in order to figure out whether or not it’s a waste of time to speak further together !

Case study

Dream Team (we’re hiring)

Scibids relies on a very experimented, skilled (and modest !) team
Rémi LEMONNIER

Rémi LEMONNIER

Founder
After his studies at Ponts et Chaussées and Imperial College, Rémi was since 2012 lead data scientist at 1000Mercis, where his algorithms issued from heavy mathematical research became actual “game changers” in production. He also got from ENS one of the first PhD in machine learning applied to RTB optimization.
Julien HIRTH

Julien HIRTH

Founder
After his studies at Ponts et Chaussées and Polytechnique Montreal, Julien worked four years as digital consultant, helping many clients to define and enforce an efficient data marketing and programmatic advertising strategy. He is also the author of the first french book about data marketing and digital advertising.
Team
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Contact Us

The greatest stories began with a simple contact form !
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