OptimEngine AI Optimization Server

Example Use Cases

• 1

  Assign tasks to machines and optimize schedules under known constraints.

• 2

  Perform what-if analysis and risk assessment under uncertain parameters.

• 3

  Prescriptive recommendations based on forecasting and multi-objective trade-offs.

Description

OptimEngine provides multi-level optimization tools ranging from deterministic scheduling and routing to robust, stochastic, and multi-objective optimization, culminating in prescriptive intelligence that forecasts, optimizes, assesses risk, and recommends actions. It supports advanced scheduling features like per-machine durations, availability windows, quality thresholds, and setup times, making it suitable for real-world industrial applications. The server is built on FastMCP with OR-Tools CP-SAT and Python 3.12, offering a comprehensive solution for AI agents in the agentic economy.