Your Gurobi models,
5x faster.
Automatically.
Optimaze analyzes your solver logs and commits targeted code improvements — big-M tightening, symmetry breaking, parameter tuning — directly to your repo as a PR.
Have a Gurobi model to test? We're taking early repos now.
Two commands. That's it.
↻ Repeat until no more improvements
What it tries
Optimaze applies targeted reformulation techniques based on your model's specific bottlenecks.
Big-M Tightening
Replace oversized M values with tight, problem-specific bounds. Dramatically
strengthens LP relaxation.
Symmetry Breaking
Add ordering constraints on interchangeable variables. Prunes equivalent branch-and-bound subtrees.
Valid Inequalities
Add cutting planes that tighten the LP without cutting the optimum. Reduces branch tree size.
Branching Priorities
Guide branch-and-bound by prioritizing key decision variables. Can cut node count by 50%+.
Warm Starting
Provide initial feasible solutions from greedy heuristics. Enables aggressive pruning from iteration 1.
Smart Parameter Tuning
Automatically set MIPFocus, Cuts, Presolve,
Heuristics, Symmetry, and Method based on your
model's profile.
Lazy Constraints
Mark rarely-binding constraints as lazy. Reduces LP size during search for faster exploration.
Ready to speed up your models?
Have a Gurobi model to test? We are looking for early MVPs to analyze and tune directly in your repo.
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