ProDex Labs

Dexter is a new level
of Factory Intelligence

Dexter works with a live model of your factory, built from ERP exports, spreadsheets, PDFs, or wherever your data lives.  He is your AI industrial engineer.  He runs simulations and analysis, reasons through your constraints, and optimizes your operations.

How Dexter works, step by step

01Connect02Model03Simulate04Optimize
01

Connect

Pipelines

Start with whatever the floor already produces — ERP exports, MES logs, routing sheets, spreadsheets, and more. Pipelines turn them into clean, validated model inputs, and every transformation stays auditable back to its source.

Pipeline · erp-weeklyRun 214
  • orders.csv parsed12,408 rows
  • routings mapped142 operations
  • inconsistencies flagged3 → review
  • inputs publishedv14 · auditable
Integrations
Excel / CSVSAPSalesforceGoogle CloudSnowflakeDatabricksPostgreSQLMySQLAzureSiemensRockwellTableau
02

Model

Modeler · Dexter

Dexter helps build a digital twin of your factory operations. Describe the line in plain language and he drafts the knowledge graph to run simulations, what-if analysis, and factory optimization on.

Drone-Line · ModelValid
✎ Edit
RefreshDrafted by Dexter · updated 10 s ago
SRCRESRESWING610TAIL620PROP630GEAR650TEST680SHIP690DONE990
SourceProcessResourceSink
03

Simulate

Experiments

Run discrete-event simulations against real demand, then snapshot variants and compare them side by side. Throughput, utilization, and risk are on the table for every scenario — before anything is committed to the floor.

Experiment 412 · Utilization+18.4%
100%50%0%0 h8 h16 h24 h · feasible ●
A · baselineB · +18.4%C · +6.1%
04

Optimize

Planning · Scheduling

Generate production plans from customer demand, supply orders, inventory, and resource capacity. Turn those plans into floor-level schedules by machine and labor, then re-optimize when conditions change — like a rush order, downtime, or a staffing shift.

Shift 2 — rebalancedFeasible
CNC-01
PRESS-A
WELD-2
ASSY-1

rush order re-slotted · solve 2.3 s

Research Capabilities

Everything runs in one shared Factory workspace — models, data, schedules, experiments, and insights.

Modeler

Every Station. Every Flow Path.

Build a visual model of your factory from sources, processes, resources, and shipping flow. The agent turns your operational data into a simulation-ready model, tests changes like added labor or shifted capacity, and shows where bottlenecks move as the line changes.

Factory Floor
CNC94%5-AXIS45%HEAT88%NDT41%

CNC · 94%

Bottleneck

59%

Avg utilization

Production Planning

Every Order. Every Deadline.

Optimize what to produce and when across periods. The agent tracks every order across every machine and flags delivery risk before it becomes a missed shipment — when a deadline is tight, it re-plans to recover margin.

Order Timeline
PO-4410
PO-4425
PO-4431
PO-4445

43%

On-time rate

4

Late orders

+0.1h

Avg margin

-6.0h

Max risk

Job Scheduling

From Backlog to Build Plan

Create floor-ready plans and schedules that account for machine capacity, labor availability, and changing priorities. When disruptions hit, re-plan in seconds instead of rebuilding by hand or gut feel.

Production Schedule
MONTUEWED
CNC A
612731540
CNC B
415228
HEAT
541613416
NDT
732229

3.1 days

Makespan

58%

Utilization

62%

On-time

21%

Changeover

Experiments

Run What-If Scenarios and Compare Them Side by Side

Dexter identifies your true system constraint and simulates targeted changes — so instead of adding capacity everywhere, you know exactly where improvements unlock more output.

ThroughputLevers

Operational levers

Constraint capacity+3%
Downtime reduction5%

Effective throughput

Targeted changes at the true constraint, simulated before anything is built.

Insights

See Where WIP Hides

Free-form dashboards for exploratory analysis of your operation. Excess WIP ties up cash, clogs floor space, and masks the real bottleneck — Dexter quantifies every inter-station queue and rebalances flow so inventory moves instead of waiting.

WIP Flow

47 units

Total WIP

14

Peak queue (CNC)

BOMs & Configurator

Recipes, Variants, and Options

Define product recipes with raw, intermediate, and finished SKUs classified automatically, and variant conditions that match every order to the right BOM. Layer option classes on top for configure-to-order lines.

Product structureBOM
RAWSUB-ASSEMBLYFINISHEDAL-6061PCB-A4FAST-M3wing-asmmotor-kitFG-DRONE-X1

This Is a Snapshot.
Your Factory Is More Complex.

Hundreds of SKUs, dozens of resources, and constraints unique to your operation. Dexter handles all of it. Let us show you what it does with your data.

Built for

Aerospace & DefenseCPGMedical DevicesFood & BeverageAutomotive AssemblyMachine ShopsInjection / Extrusion MoldingAnd Built for More