
François Vanderbeck
Chief Executive Officer
Graduated from MIT and PhD in Applied Mathematics from the UCL, lecturer at the University of Cambridge, founder of the research team in optimization at Inria/CNRS, ex-VP of ROADEF.
The supply chain is the leading source of CO2 emissions and the second largest cost driver. Yet, the most critical decisions are still made manually.
Our mission: do more and better with less, by bringing intelligence into operations planning. Atoptima is the one-stop-shop for optimization solvers, capable of tackling the most complex challenges in transportation planning, loading, warehousing, and production through a unique holistic approach.
Mathematicians, researchers, computer scientists, and logistics experts, our DeepTech relies on 25+ years of experience (MIT, University of Cambridge, X-Polytechnique, Inria, CNRS...) to put the state-of-the-art of mathematical optimization and decision-making AI at the service of a supply chain that is both more efficient and more sustainable.
Winner of the i-Nov Prize: disruptive technologies with high potential for the French economy.
Winner of the EOI Innovation from the DGE and France Logistique for more performant logistics.
Certification from the French government: Atoptima’s clients can benefit from a tax credit.
Scale-Up Excellence Program from The French Tech to support the hypergrowth of businesses.
Winner of the i-Lab Prize 2021: best value creating technology arising from DeepTech startups.
DeepTech certification from Bpifrance: disruptive technology and strong R&D efforts.
Winner of Responsible Logistics API from Club Demeter: innovative solutions for a sustainable supply chain.
Top 20 startups combining growth and high impact by the French Tech Bordeaux.
Our technologies rely on 25 years of scientific background to bring the most qualitative and disruptive solutions to our clients and partners. The excellence of Research combined with the agility of the Software-As-A-Service!
We want to have a real impact on the socio-economic world through technology; this is part of our DNA. We gather passionate people with the desire to make our know-how useful for society.
We make DeepTech accessible by providing ergonomic user interfaces with a seamless integration. Our technologies are meant to be scalable, intuitive and business oriented.
We aim to « do more and better while consuming less » to insure a more sustainable growth. Together in targeting a better use of resources thanks to optimization intelligence!
Graduated from MIT and PhD in Applied Mathematics from the UCL, lecturer at the University of Cambridge, founder of the research team in optimization at Inria/CNRS, ex-VP of ROADEF.
Graduated in corporate strategy and finance from emlyon business school and in international affairs from Sciences Po. Ex-project manager from Amazon Europe & Cdiscount.
Graduated in industrial engineering from UFPB and in Operations Research from the University of Bordeaux. Ex-member of Inria/CNRS research team in Combinatorial Optimization.
PhD in Applied Mathematics from the UCL and a postdoc from the X-Polytechnique. Ex-Full-Time Researcher at Inria / CNRS, creator of VRPSolver and the open-source framework Coluna.jl.