An AI optimization copilot for manufacturing operations
Scheduling, calibration, maintenance, and resource allocation are technically solvable but organizationally hard to define. Optimic turns fragmented stakeholder priorities — captured today in meetings, spreadsheets, and tribal knowledge — into executable optimization models your team can test, compare, and refine.
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Generate models in conversation
Chat with the Optimic agent to describe your scheduling, calibration, maintenance, or resource-allocation problem in plain language. The agent draws on the manufacturing knowledge base to generate a solver-ready optimization model — and explains the assumptions it made along the way.
Calibrate together
Bring production, quality, engineering, and maintenance into the same model. Each teammate reviews it from their own viewpoint — tightening constraints, reweighting priorities, or proposing alternative formulations — until the recommendation reflects how the floor actually runs.
Why Optimic?
From Stakeholder Priorities to Models
Identify the right voices across production, quality, engineering, maintenance, and management. Capture their assumptions and turn them into solver-ready optimization code — no blank mathematical model required.
Manufacturing Knowledge Base
An intelligent modeling layer built on manufacturing viewpoints, modeling methods, and constraint templates, so your team starts with patterns that match how the floor actually runs.
Compare, Explain, Refine
Generate alternative formulations, compare scenario outcomes side-by-side, and see how each priority and assumption shapes the final recommendation. Every model is testable, explainable, and ready to iterate on.
