We bring trust and transparency to the vehicle market. With an ear to the ground, we tune into customer needs and demands. From ML/R&D to Product, Backend Ops, Data, and Sales, we pioneer vehicle damage technology to create practical solutions for the industry. We dive deep into the intricacies of AI while providing a backbone for integrating advanced tech into a user-friendly product. Our team continuously feeds the algorithms with quality data while forging partnerships with key industry players. The combined end result of our team’s hard work and dedication is a cutting-edge solution capable of revolutionizing how vehicles are evaluated and traded.
Monk AI
Overview
Employee breakdown
Machine Learning and R&D
45%
Product
14%
Engineering
25%
Business & Sales
15%
In numbers
Dynamic Environment
in the heart of Paris where you will be work with some of the brightest minds - 5+ PHDs
ML/R&D Team
Situated at the cutting edge of artificial intelligence, this team spends its days immersed in the fascinating world of researching trending problems and developing real-world solutions. With a keen focus on improving the performance of Monk's products, they undertake tasks from ingesting new client data for labeling and refining the labeling process via automatic consensus algorithms. They keep a pulse on the latest in Deep Learning and Computer Vision while training our detection algorithms to stay at the forefront of the tech landscape.
“Je recommande Monk à toute personne qui a une expertise et/ou un fort intérêt pour l'IA et la Computer Vision et qui souhaite travailler dans un environnement international d'excellence avec une très bonne ambiance de travail.”
Ramzi Ben Hariz
“À MONK, j’ai découvert une équipe très solide techniquement, très soudée et un projet entrepreneurial que j’ai trouvé très prometteur.”
Robin Vogel
Data Engineering Team:
Essential to the heart of our AI algorithms, the Data Engineering team constructs vital internal automation services. They are adept at tasks like annotating high-quality data, ensuring that our AI models are nurtured with the best possible information to yield exceptional results.
“On a les meilleurs séminaires du monde. Toi aussi rejoins nous et tu auras une journée où tu peux un repas qu'on s'est préparé entre nous pour 30, featuring un Tiramisu géant et un Poulet Yassa, ensuite te prendre tampons du CTO au karting qui est un assassin il faut le dire, puis te venger au foot et à des jeux de société avant de faire une rap battle sur des vers générés par ChatGPT avec pour thème le royaume Indo-Grecque de Bactriane.”
Nayef Derwiche
Engineering Team
Our backend team operates at the nexus of R&D and robust system architecture. Their goal is to integrate computer vision models with production. They play a vital role in building a reliable and scalable API infrastructure that handles millions of inspections annually.
The frontend team is comprised of technical maestros who ensure our interface is as sleek and user-friendly as the technology behind it. They build a seamless and robust User Interface to meet customer needs while maintaining the code's integrity and quality.
“J'ai vraiment l'impression que chez Monk, on peut venir tel que l'on est et être tout de suite inclus dans l'équipe.”
Youssef Adarrab
Product Team
A dynamic group dedicated to deeply understanding the needs of our customers. They work tirelessly to develop and prioritize product features that truly resonate. As the bridge between Monk and its user base, this team is constantly gathering insights and turning them into an amazing user-friendly product.
Business & Sales Team
A vital force driving Monk's market presence. They forge relationships with key industry players, meticulously analyzing their needs and working to deliver maximum value through our AI solutions. Boasting collaborations with automotive giants, this team ensures Monk's global footprint reaches across Europe, America, the Middle East, and Oceania.
“Le deuxième jour de mon stage, les cofondateurs de Monk étaient en déjeuner avec un client et nous avions un rendez-vous avec une société New-Yorkaise vers 14h. Le déjeuner débordant un peu, je me suis retrouvé à pitcher Monk. Cela m'a annoncé la couleur. ”
Antoine Nardone