Turn a deterministic optimization model (PuLP, Pyomo, gurobipy, OR-Tools) into a verified two-stage stochastic program, and find out whether it is worth it.
Solver-agnostic debugger and explainer for LP/MILP models: why a model is infeasible, what fixes it, what-if and sensitivity. Python library, MCP server and Claude Code plugin; HiGHS, SCIP or your own Gurobi.
