About

We are data craftspeople committed to culture and the common good.

Our team

Gaëlle Ramboanasolo

Co-founder & CEO
I’m passionate about the arts and culture. With an M.Sc. in Business Intelligence, I first worked as a data analyst for cultural institutions such as the Société de la Place des Arts in Montréal and Bandsintown. There, I developed expertise in data strategy and in building data-science-driven tools for the arts sector.

I then decided to co-found Gradiant to put my knowledge and skills to work in service of culture, inclusion, and democracy—causes that deeply matter to me.

Committed to diversity in STEM, I also enjoy sharing my passion by teaching at Collège La Cité in Ottawa and supporting the advancement of women in these fields through occasional involvement with the MMFC and Women in AI.

Jonas Isenegger

Co-founder & Senior Data Scientist
With an M.Sc. in Business Intelligence from HEC Montréal, I began my career in the tourism industry, focusing my efforts on customer lifecycle management. My specialty was implementing predictive models and analytics tools to improve the traveler experience: “ Send the right offer, at the right time, to the right person ”.

In 2019, I co-founded Gradiant with the mission of using data science to help organizations dedicated to the common good build resilience and maximize their impact. Gradiant is committed to democratizing data science and contributing to social and cultural progress.

What drives me today is putting my AI and data science skills to work on projects with strong social and cultural value.

Manel Ouriachi

Data Scientist
Based in Montréal, I’m a business analytics student at HEC with a strong interest in the arts and culture. Passionate about data science, I aim to blend technology and creativity to transform complex data into meaningful stories.

Outside of my studies, I’m a dedicated marathon runner and a video game enthusiast. These passions—combining physical endurance and digital strategy—reflect my dynamic, multidimensional approach, which I apply to my studies and professional projects in data science.

Our mantra

Useful solutions that create value and are responsible.

Purpose-driven science

We reject technological solutionism: not everything that’s possible is necessarily needed. We use data science only when it brings proven value and meaning.

Social impact

Our projects democratize understanding of the opportunities and risks of AI while strengthening collective resilience. Every solution is designed to create tangible impact.

Curiosity

We explore new directions for AI, combining a variety of tools and models.
This approach sparks ideas and opens dialogue.

Contact us