... and that is how we do it!


Founded in 2018 as a spin-off from the prestigious Swiss university EPFL, Largo.ai has continued to collaborate with highly recognized scientists from EPFL to provide next-generation storytelling tools for the audiovisual industry using artificial intelligence. Headquartered at the EPFL Innovation Park in Lausanne, an ecosystem for world-class start-ups and companies, Largo.ai also has presence in Los Angeles, London, and Istanbul.

Since the release of its SaaS platform in 2020, Largo.ai has quickly become a pioneer in introducing AI to the audiovisual industry. Many movies that have used Largo.ai’s platform have been released in theaters and on platforms such as Netflix, with some even being nominated for Oscars. The company has won numerous awards, including the Best Start-up Award at the San Sebastian Film Festival, the EFM Horizon Start-ups at the Berlinale, the Top 100 Swiss Start-up Awards, and several competitive grants from university, cantonal, and federal organizations. This success is a testament to the hard work and dedication of our talented team.



Sami Arpa

CEO / Co-founder

Céline Udriot


Sabine Süsstrunk

Board Member / Co-founder

Alex Gocke

VP of Sales

Athanasios Fitsios

Product Lead

Jonathan Mitchell

Account Executive – Ads

Keeley Dean

Account Executive – Movie

Frederick Shaibani

Account Manager

Annemarie Blue

Account Manager

Gizem Akgülgil

VOD & TV Operations Manager

Lawrence Freeman

Sales Development Rep

Kristoffer Pastrana

VOD & TV Acquisitions

Katia Meylan

Festival Manager

Sushil Pandey

Social Media Manager

Georginia Hutchinson

Content Manager & Curator

Udana Udayanga

Web Developer

Would you like to join Largo?


Account Manager

We are searching for an account manager who has experience in the customer management in the movie industry.


Account Executive

We are looking for an experienced sales person who has worked 5+ years in the acquisitions


Data Scientist

We are looking for an entrepreneurial, collaborative person with hands-on experience in machine learning, predictive analytics and software engineering.