Skip to main content

​
Overview

ProDex is an AI-native platform for manufacturing operations. It combines discrete event simulation, production planning, and job scheduling into a single environment — with Dexter, an AI agent that can run analyses, generate reports, and automate workflows on your behalf. The core idea: instead of managing your operations across spreadsheets, point tools, and manual reports, ProDex gives you a live model of your factory that your team and AI can both work with directly.

​
Who Is It For?

ProDex is built for the people who run manufacturing operations day-to-day:
  • Operations managers who need to understand throughput, bottlenecks, and capacity
  • Production planners who translate demand into achievable production schedules
  • Schedulers who assign jobs to machines and workers
  • Analysts who want to model what-if scenarios before making decisions
No programming experience is required to use the core features. Dexter handles most of the heavy lifting.

​
Key Capabilities

​
Simulation Modeling

Build a visual model of your factory as a graph — sources, processes, resources, buffers, and sinks connected by flow. Run discrete event simulations to understand how your operations perform over time, where bottlenecks form, and how changes ripple through the system. Schedules anchor your simulation to real-world timing — define exactly when material enters the system, when shifts start and end, and when resource capacity changes. The simulation then produces detailed operational timelines showing what happened, where, and when — so you can validate a plan before committing to it on the floor.

​
Production Planning

Given demand orders, current inventory, and your bill of materials, ProDex’s planning optimizer outputs a production plan — what to make, when, and in what quantities across planning periods. The optimizer balances demand fulfillment against resource capacity, production smoothing, and inventory costs to find the best feasible plan.

​
Job Scheduling   Beta

Go from plan to floor-level execution. Given a set of production orders, the job scheduler assigns specific jobs to specific resources and sequences them — accounting for processing times, changeover costs, and resource constraints to produce an optimized schedule. Combined with simulation, you can validate the schedule against real-world variability before committing to it.

​
Dexter

ProDex’s AI agent — an operations research specialist with direct access to your factory model, your data, and your results. Describe your operation in plain language and Dexter will build a simulation model, analyze results, and generate reports. Upload production data and Dexter will profile it, derive model parameters, and document every transformation so you can trace any number back to its source. Dexter maintains a persistent knowledge base of your operation across conversations — your processes, your terminology, your business rules — so the more you work with it, the less you have to repeat yourself.

​
How It Fits Into Your Operations

ProDex sits between your raw operational data and your decision-making. You bring in your products, processes, demand, and constraints — ProDex helps you understand what your operations can actually deliver and find the best path forward. The platform is organized around a Factory, which contains everything: your simulation models, production plans, schedules, entities (products and materials), and results history. Everything your team does lives in one place.