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Higher profitability, lower operating costs

Our AI-powered platform helps manufacturers identify hidden inefficiencies and simulate improvements before implementation.

Prodex Labs Logo

Operational blind spots kill profitability.

Manufacturers lack the tools to surface improvements and forecast their real impact on throughput, cost, and ROI.

PROBLEM

Hidden Inefficiencies

Factories can't identify or address hidden operational inefficiencies without proper detection tools.

PROBLEM

Outcome Uncertainty

Unable to see how changes will impact throughput, expenses, and margins ahead of time.

PROBLEM

Innovation Paralysis

Manufacturers are unable to quickly improve throughput and profitability beyond the status quo.

ProDex is the fastest solution to higher profitability.

Our platform provides predictive insights manufacturers need to make confident decisions that drive results.

SOLUTION

Surface Opportunities

Identify operational inefficiencies and improvement suggestions with our AI agents.

SOLUTION

Simulate Outcomes

Simulate the impact of changes on key metrics before implementation via a digital twin of your factory.

SOLUTION

Accelerate Innovation

Make improvement decisions with confidence, rapidly improving throughput and profitability.

Quickstart Guide

ProDex Factory Simulation Interface

AI Assistant

Guides you through model creation and optimization

Real-time Analytics

Monitor performance metrics during simulation with real-time dashboards

Simulation Controls

Run, pause, and adjust simulation speed to test different scenarios

Process Flow

Visual workflow representation of your factory with intuitive drag-and-drop interface

Component Library

Pre-built factory components for drag-and-drop modeling to quickly create your digital twin

ProDex AI Recommendations Interface

AI Recommendations

AI agents auto-identify improvement opportunities based on your factory's performance data

High Impact Insights

Critical insights with significant ROI potential highlighted for immediate action

Interactive Suggestions

One-click options to explore recommendations with the AI and simulate their impact

Medium Impact Insights

Optimization opportunities with moderate ROI potential for incremental improvements

Five Simple Steps to Optimize Your Factory

1

Create Your Digital Twin

Use our AI assistant to quickly model your factory floor with drag-and-drop components that represent your actual equipment and processes.

2

Input Production Data

Enter your production orders, resource constraints, and operational parameters to create an accurate representation of your manufacturing environment.

3

Run Simulations

Test different scenarios and process changes to see their impact on throughput, costs, and other key performance indicators in real-time.

4

Implement Improvements

Receive recommendations from powerful AI agents and implement the most impactful changes with confidence, knowing exactly what results to expect.

5

Continuous Improvement Cycle

Iterate through the simulation and implementation steps in a continuous feedback loop, driving ever-higher throughput and profitability with each cycle.

Run Simulations
Implement Improvements
Higher Profitability

Frequently Asked Questions

How quickly can we implement ProDex?

Most clients can be up and running with ProDex in 2-4 weeks, depending on the complexity of your factory operations.

Do you offer custom integrations?

Yes, we offer custom integrations that can quickly deploy via our built-in data ingestion tool.

Do you need live data to be useful?

No, our platform is designed to work with whatever assumptions and sparse data you currently have. As your data landscape evolves, the platform learns and grows to enable even greater utility.

Is training included?

Yes, all implementations include comprehensive training for your team, as well as ongoing support to ensure you get the most out of ProDex.

Meet the Team

Kushan Weerakoon

Kushan Weerakoon

CEO

Harvard '25 | Applied Math in Computer Science, Economics

Prev. VC-funded AI startup, Prod Cohort 3.0, Alpine Investors PE, AI World Bank research

Rick Li

Rick Li

COO

Harvard '25 | Applied Math in Systems Engineering & Ops. Research

Prev. SpaceX Production Operations Engineering, Valor Equity Partners Operations Team

Sean McCabe

Sean McCabe

CTO

Harvard '24 | Physics and Math, Computer Science (magna cum laude)

Prev. Data Science at Series B startup, Manufacturing Consultant with auto & pharma industry

Backed By

We're proud to be supported by industry leaders and innovative organizations

Antonio Gracias

Antonio Gracias

Investor

Sunflower Capital

Sunflower Capital

VC Investor

Harvard Kennedy School Belfer Center

Belfer Center

National Security Accelerator

Palantir

Palantir

Startup Fellowship 000

Ready to manufacture the future together?