1993 to 1999

The ideas, concepts, and methods created by FILTERIS find their roots in the period between 1993 and 1999, as part of Jérôme Coutard’s doctoral thesis at the Université Laval in Québec City. His scientific goal was to come up with a qualitative and quantitative analysis method for mass communications in times of war by targeting values and the counter values they supported. Perception monitoring indicators for wartime were thereby created and proven to be reliable.

2002

FILTERIS, now a majority shareholder (67%) of Qotmii Technologies, conducts studies and audits for numerous clients in a wide range of industries (pharmaceutical, tourism, municipalities, finance, sports, politics, and more), based on Jérôme Coutard’s methodology.

2006 to 2008

FILTERIS tests new algorithms within the framework of Canadian, French, and US elections. The explanatory and predictive results proved encouraging, but needed to be more reliable.

2010 to 2012

R&D work enabled us to optimize reliability, notably with the development of a new tool that received approval from the Canada Revenue Agency.

Jérôme Coutard—one of the founders of FILTERIS and Qotmii Technologies—contributed to the development of the Chair for Research on Digital Cultures at the Université Laval in Québec City, which was awarded to Professor Milad Doueihi. Together, they co-signed an article titled Les enjeux de la réputation numérique that appeared in Sécurité et Stratégie 2011, presenting our thinking around an automated tools like FILTERIS and Qotmii.

2012

Tests conducted during the 2012 elections in France enabled us to analyze and understand the importance of social networks in the construction of online reputations, notably on their impact during an election period.

2015

Qotmii Technologies is created in order to help with work on “social recommendations” inherent in today’s digital practices, as well as to automate the methodological processes that FILTERIS previously did manually.

2016 to 2017

A first series of automated tests in controlled situations is conducted in the political sphere.

In October 2016, Qotmii and its business partners publicly demonstrate that Donald Trump had the ability to win the US presidential election, going against the opinion of 98% of global analysts.

During October-November of the same year, Qotmii was able to determine and announce that former French prime minister François Fillon could qualify and win the primary for the right in France, whereas all polls were placing him squarely in 5th position. In November 2016, as Qotmii predicted, François Fillon won the French primary.

Throughout 2017, Qotmii is in testing phase in the political sphere, taking advantage of the French presidential elections to collect and analyze data on all 11 candidates.

During this time, a free app called BuzzPol is uploaded in order to understand how users adopt and react to predictive analysis technology.

BuzzPol exceeds expectations in April of 2017, with millions of users downloading the app in a short period of time. Results obtained on the 11 candidates during the first round of presidential elections are quantitatively globally conclusive, with only a 2% cumulative difference between predictions based on our indicators and voting results. This process enabled us to understand how we needed to optimize our algorithms.

2017 to 2019

On the basis of previous results and experience, FILTERIS conducted a structured R&D process in order to develop and test 5 measurement indicators that are integrated into the “Qotmii-Politics-France” concept, finalized in 2019. Results are reliable and stable, and enable us to envision a rational, positive, massive deployment of Qotmii apps in various spheres, including entertainment (Qotmii TV series), sports (Qotmii soccer/football), and society (Qotmii politics).