Whitebox Optimization
Your Problem Has a Formula.
kint Solves It to Proven Optimality.
You define the variables, constraints, and objective. kint selects the right solver and method. The result is mathematically proven.
The Concept
What Is Whitebox Optimization?
Your problem is defined by variables, constraints, and an objective function. Solvers like Gurobi, CPLEX, OR-Tools, and CP-SAT search the solution space systematically. They don't guess. They prove. The result comes with a mathematical guarantee: the optimality gap tells you exactly how close to perfect the answer is.
When to Use
When Whitebox Is the Right Choice
You know the constraints and the objective is clear
The relationships between variables are mathematical
You need a provably optimal answer, not just a good one
LP for blending and resource allocation
MIP for scheduling and vehicle routing
CP for sequencing and timetabling
NLP for continuous process optimization
How kint Handles It
From Description to Solution
Describe your problem in natural language or upload a mathematical model. kint identifies the structure, selects the right solver and method automatically, and reports the optimality gap when done. Your team reviews the result, not the solver configuration.
Methods
Supported Methods
LP
Linear Programming
Continuous variables, linear constraints. Blending, allocation, flow problems.
MIP
Mixed-Integer Programming
Discrete and continuous variables. Scheduling, routing, facility location.
CP
Constraint Programming
Logical constraints, sequencing. Job-shop scheduling, timetabling.
QP
Quadratic Programming
Quadratic objectives with linear constraints. Portfolio optimization, curve fitting.
NLP
Nonlinear Programming
Nonlinear relationships. Process engineering, chemical blending, continuous control.
Results
What Your Team Gets
Optimality Gap
0.00% means proven best. No better solution exists. Your team can defend every decision with mathematical proof.
Sensitivity Analysis
Which parameter matters most? Change delivery windows by 1 hour and cost drops 21%. Change vehicle capacity and nothing moves. Now you know where to focus.
What-If Analysis
Change one variable, see the full impact instantly. No re-running the entire model. Seconds, not hours.
No Formula? No Problem.
If you don't have a mathematical model but you do have historical data, blackbox optimization learns the patterns for you.
Learn about Blackbox OptimizationSee It With Your Own Problem
Bring your model or describe your problem. We'll show you what kint finds. 30 minutes. No commitment.