Our vision

Our vision

AI at the service of literature review

AI at the service of literature review

At NOÉ, we believe that combining artificial intelligence with scientific rigor provides researchers with tools capable of accelerating discovery without ever compromising quality.

L’équipe NOÉ : spécialistes IA, data science et développement dédiés à l’automatisation de la revue de la littérature.
L’équipe NOÉ : spécialistes IA, data science et développement dédiés à l’automatisation de la revue de la littérature.
L’équipe NOÉ : spécialistes IA, data science et développement dédiés à l’automatisation de la revue de la littérature.
L’équipe NOÉ : spécialistes IA, data science et développement dédiés à l’automatisation de la revue de la littérature.
Photo de Bopha, CEO de NOÉ, lors d’un salon professionnel dédié à l’IA et à l’innovation scientifique.
Photo de Bopha, CEO de NOÉ, lors d’un salon professionnel dédié à l’IA et à l’innovation scientifique.
Photo de Bopha, CEO de NOÉ, lors d’un salon professionnel dédié à l’IA et à l’innovation scientifique.
Photo de Bopha, CEO de NOÉ, lors d’un salon professionnel dédié à l’IA et à l’innovation scientifique.

“Harnessing artificial intelligence to enhance human expertise in order to transform access to scientific knowledge.”

Our ambition

Our ambition

Our ambition

NOÉ is more than a tool: it is a new way of conducting research.
We want to empower researchers to move faster while staying true to scientific rigor.

NOÉ is more than a tool: it is a new way of conducting research.
We want to empower researchers to move faster while staying true to scientific rigor.

Our history

Our history

Our history

Designed for precision

Designed for precision

The MDR has strengthened the requirements and made literature review more cumbersome and time-consuming. NOÉ was created to help teams analyze faster, more clearly, and more accurately with the help of AI.

The Issue

The review of scientific literature is a long, tedious process often prone to human error. Between manual searches, duplicate filtering, and article selection, researchers lose valuable time at the expense of scientific analysis.

The Issue

The review of scientific literature is a long, tedious process often prone to human error. Between manual searches, duplicate filtering, and article selection, researchers lose valuable time at the expense of scientific analysis.

Le problème

The review of scientific literature is a long, tedious process often prone to human error. Between manual searches, duplicate filtering, and article selection, researchers lose valuable time at the expense of scientific analysis.

The Issue

The review of scientific literature is a long, tedious process often prone to human error. Between manual searches, duplicate filtering, and article selection, researchers lose valuable time at the expense of scientific analysis.

Our solution

NOÉ automates every step of the systematic review using artificial intelligence. From literature search to the final synthesis, the application accelerates work, enhances methodological rigor, and frees up time for scientific reflection.

Our solution

NOÉ automates every step of the systematic review using artificial intelligence. From literature search to the final synthesis, the application accelerates work, enhances methodological rigor, and frees up time for scientific reflection.

Notre solution

NOÉ automates every step of the systematic review using artificial intelligence. From literature search to the final synthesis, the application accelerates work, enhances methodological rigor, and frees up time for scientific reflection.

Our solution

NOÉ automates every step of the systematic review using artificial intelligence. From literature search to the final synthesis, the application accelerates work, enhances methodological rigor, and frees up time for scientific reflection.

Our vision

Our vision

Our vision

An AI designed for reliable and compliant literature reviews

An AI designed for reliable and compliant literature reviews

Discover how NOÉ is reinventing literature review to make it more reliable, faster, and collaborative.

Supported by major players in health research and innovation

The team

The team

The team

The faces behind NOÉ

The faces behind NOÉ

Team Member

Bopha Suybeng

CEO & Founder

Team Member

Bopha Suybeng

CEO & Founder

Team Member

Bopha Suybeng

CEO & Founder

Team Member

Bopha Suybeng

CEO & Founder

Team Member

Massinissa Atmani

Data scientist ML & NLP

Team Member

Massinissa Atmani

Data scientist ML & NLP

Team Member

Massinissa Atmani

Data scientist ML & NLP

Team Member

Massinissa Atmani

Data scientist ML & NLP

Team Member

Marie Tapia

Developer Front & Data scientist

Team Member

Marie Tapia

Developer Front & Data scientist

Team Member

Marie Tapia

Developer Front & Data scientist

Team Member

Marie Tapia

Developer Front & Data scientist

Team Member

Samuel Buzin

Full-Stack Developer

Team Member

Samuel Buzin

Full-Stack Developer

Team Member

Samuel Buzin

Full-Stack Developer

Team Member

Samuel Buzin

Full-Stack Developer