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About us

Atoptima is a software editor in decision support system aiming to offer cutting-edge mathematical optimization to all businesses requiring resource assignment optimization. The company designs and develops tailored optimization modules for routing and planning applications. Our services range from expert consulting in optimization intelligence to tailored software products (SaaS).

Atoptima’s cloud-native solutions provide a comprehensive solver coping with all complex constraints and offering dynamic re-optimization features. Thanks to a systemic optimization of complex resource assignment decisions, our methodologies offer unmatched results and improve significantly your operating performance.

Atoptima is a DeepTech with disruptive technology, spin-off of Inria (National Institute for Research in Digital Science and Technology) and University of Bordeaux. Our team has outstanding skills in mathematical modeling, operations research, computer science, expert systems. With more than 25-years background in exact optimization and heuristic methodologies, Atoptima’s experts industrialize state-of-the-art technologies and strive to promptly deliver tailored optimization modules that suit your problem thoroughly.

We deliver the excellence of Research combined with the agility of the Software-As-A-Service


Credit d'impôt recherche

Atoptima holds a certification from the French government acknowledging its ability to conduct Research & Development works, enabling its clients to benefit from a tax credit.

Deep tech

Atoptima holds the DeepTech certification label from BPI France acknowledging its disruptive technology and its strong R&D efforts.

Tech partners

Gurobi Optimization
Inria Bordeaux Sud-Ouest
University of Bordeaux
Federal University of Paraíba
Federal University of Fluminense


Banque publique d'investissement
Administrative region of New Aquitania
French Tech Bordeaux
La Banquiz
Digital Aquitaine

Managing team

François has been leading Operations Research projects for 25 years, with many industrial collaborations in various business areas. He graduated from the Massachusetts Institute of Technology (MIT) and holds a PhD in Applied Mathematics from the University of Louvain (UCL). He was Lecturer at the University of Cambridge in Engineering and later became full professor at the University of Bordeaux. He founded the research team in Combinatorial Optimization at Inria Bordeaux, which he headed for 12 years. He has published pioneering papers in major international journals and conferences. He organised the International Symposium on Mathematical Programming in 2018 with 2 000 attendees, first to be held in France. He served as Vice-President of ROADEF (French Operations Research Society) in 2014.

Adrien graduated in corporate strategy and finance from emlyon business school and holds a dual degree in international affairs from Sciences Po. He has some international experience in strategy and financial consulting on large projects in energy and supply chain. Following which, he held several positions of project manager in the e-commerce area (working at both Amazon Europe HQ & Cdiscount).

Guillaume graduated in computer science and holds a PhD in Operations Research from University of Bordeaux on Two-Echelon optimization problems. He was enrolled in the Inria research team as a Research & Development engineer in combinatorial optimization. He is a major contributor to several open-source softwares on mathematical optimization: Coluna.jl, DynamicSparseArrays.jl, BlockDecomposition.jl.

Vitor graduated in industrial engineering from the Universidade Federal da Paraíba (Brazil) and in Operations Research from the University of Bordeaux. He was the winner of the prize of the best undergraduate work of the Brazilian Operations Research conference. He was enrolled in the Inria research team in Combinatorial Optimization at the University of Bordeaux. He has extensive technological expertise in algorithmics, software engineering, programming languages, operating systems, databases, networks, web technologies, graphical user interfaces.