[ Tech stack ]
Gurobi
The reference commercial solver for linear and mixed-integer programming at scale.
Gurobi solves linear (LP), quadratic (QP, QCP) and mixed-integer (MILP, MIQP) programs with parallel simplex, barrier and branch-and-cut algorithms, primal heuristics and aggressive presolve. You drive it from gurobipy, its Python modeling API, or from C, C++, Java, .NET and MATLAB, with floating licenses, Gurobi Instant Cloud and Compute Server for remote solving. It's our choice when an industrial optimization model outgrows what an open-source solver can handle within the required time limits.

[ Why Gurobi at Dexon ]
What this technology does well, and why we use it.
Typical usage: Production planning, supply chain, pricing optimization and large-scale scheduling.
- 01
Top-tier performance on large MILP and MIQP models.
- 02
gurobipy: native Python modeling, matrix API, NumPy and pandas friendly.
- 03
Fine-grained tuning: tolerances, cuts, heuristics, parallel and deterministic solving.
- 04
Floating licenses, Compute Server and Instant Cloud for remote solving.
[ Complementary technologies ]
The building blocks we often mobilise alongside.
A stack rarely exists alone. Here are the technologies Dexon most often pairs with this one, through pipeline habits, usage similarity or internal mastery. Click on a building block to see its scope.
[ Reassurance ]
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- custom projects delivered
- 30
- engineers, designers, project managers
- 80 %
- from top French schools
- 24 h
- average reply time
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