An intelligent multi-agent system that automates the entire process of
mathematical modeling and optimization.
From problem understanding to model building, algorithm selection,
code generation, visualization, and report generation.
End-to-end automation for complex mathematical optimization tasks.
Analyze and understand mathematical optimization problems from natural language or uploaded documents.
Automatically build mathematical models with objectives and constraints.
Select the most suitable optimization algorithm adaptively for different tasks.
Generate executable Python code for optimization and simulation tasks.
Generate rich visualizations, convergence curves and analysis charts automatically.
Produce professional reports with analysis, formulas, visualizations and conclusions.