Eki lab

Eki.Lab

The Eki.Lab is our Research & Innovation pole at Ekimetrics. Learn more about our research topics and priorities. Feel free to send us an email should you have any questions!

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Eki.lab

Why have an Eki.Lab at Ekimetrics?

To continually improve our offers, create new ones
To allow our Talents to develop continuously by proposing innovative subjects
To contribute to the development of the international scientific community through the publication of scientific articles and open source libraries
To work in collaboration with our clients on cutting-edge technology topics with high added value for them

Eki.lab

What is Eki.Lab?

Eki.Lab is a structure that brings together +50 doctoral students, AI experts and data scientists
Eki.Lab is our center of excellence. It makes it possible to set up continuous monitoring of the latest technical innovations such as Deep learning, the industrialization of MLOps, responsible AI, or NLP for example.

Research

What research subjects and how are they selected?

We have several types of search lines:

In depth: Time Serie Modeling & Forecasting, Deep Learning & GenAi for NLP, Deep Learning & GenAi for Multimodality, Economy&Econometrics. These are background streams.
Cross-functional: Optimization, Explainability & ResponsibleAI, MLOps&Industrialization. For example, the “Detection and removal of toxicity in a corpus of texts” project is a project led by the “Deep Learning&GenAi for NLP” and “Explainability & ResponsibleAI” teams.

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Integration

How are the results integrated into business/client projects?

Our work on generative AI began in 2021 on the subjects of Multimodality and Question Answering in particular. This lead time allowed us to release our Climate Q&A tool in early 2023, considered one of the first general public RAGs (and the first on climate issues), then the CLAIR tool in 2024 as an AI system generative “multi-agent”. Thanks to these pioneering approaches, Ekimetrics has a rapidly deployable generative AI environment.

The integration of new algorithms created by our teams is a differentiating factor for our technological platforms, such as for One.Vision our MMM complete form, by offering more detailed analyzes with a methodology adapted to customer issues.

Our work on explainability and causality is embedded in all our offers and creates a bridge between business and science by offering actionable and fair explanations on the recommendations made by our artificial intelligence systems.

Finally, our data scientists, by working on concrete and very technical subjects, take their knowledge and experience into all their client projects.

The difference

How is our eki.lab better/different from that of artifact, BCGx, Octo?

Multiple lines  of research

As a Marketing Measurement and Optimization Leader by Forrester, we have opened lines of research on the themes of Causality, Explainability, Demand Sensing & Time Series Modeling, Multimodality applied to Marketing

AI’s intersection  with business

We have also opened lines of research on all areas of AI and their intersection with business issues, carried out by Tech partners like Google or even clients.

Partnerships with science

We have strong partnerships with the scientific ecosystem such as INRIA, Lip6, SCAI. As well as a stream dedicated to Responsible AI, the core of our research as we are a “Mission Company” and one of our missions is to contribute to AI having a positive impact on the world.