We discovered $2.1M of hidden COPQRead the case study

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. Build simulations, analyze bottlenecks, and drive continuous improvement in your factory — the expertise stays with you.

ProDex — Engine / Run 0847Live
Drone-line · Run 0847Running
Monte CarloRep 84/100
Throughput est.64.2k ± 0.4
Engine 4,200 events/sStatus optimal

Simulate

The Modeler draws your factory as a graph — sources, processes, resources, sinks — then runs it as a stream of discrete events. Dexter drafts the model from your data; you read it the way you read the floor.

  • A discrete-event model built from ERP & MES data, as-is — no cleanup project first
  • 500 Monte Carlo replications per scenario, so the answer carries its own confidence
  • Find the constraint before you buy the machine
Engine4,200 events/s
ModelDrone-line / 10 nodes
ProDex — Modeler / Plant-02Live
Drone-line · ModelValid
✎ Edit
RefreshDrafted by Dexter · updated 10s ago
SRCRESRESWING610TAIL620PROP630GEAR650TEST680SHIP690DONE990
SourceProcessResourceSink

Plan & schedule

Demand goes in; a feasible timeline comes out. The optimizer unpicks the week so nobody has to.

  • Demand in, constraint-checked schedule out — in seconds
  • Reschedule around a down machine or a hot order without unpicking the week by hand
  • Sequence-dependent changeovers and material availability respected
Solve time2.6 s
HorizonJun–Sep / 4 orders
ProDex — Scheduler / Plant-02Live
Order fulfillmentsTimeline
JunJulAugSep
PO-2026-0041
6
PO-2026-0042
4
PO-2026-0046
3
PO-2026-0043
8

Analyze

Experiments compare scenarios across configurations; results land as evidence you can defend in the morning meeting.

  • KPIs, event logs, and thirteen chart types on every run
  • Ask in plain language — Dexter writes the DuckDB SQL
  • Pin what matters to a durable dashboard the whole team reads
Experiment 4123 scenarios / B wins
OEE trend12 mo → 84.6%
ProDex — Insights / Experiment 412Live
Experiment 412 · Utilization+18.4%
100%50%0%0 h8 h16 h24 h · feasible ●
A · baselineB · +18.4%C · +6.1%
ProDex — Analytics / OEE 12-moLive
OEE84.6%
60%75%90%Target 80%Now

Monitor

The live view of the line. See exactly where time is lost — while it is being lost.

  • Throughput against plan, read live off the line
  • Station utilization with the bottleneck flagged
  • An alert stream that reads like a control-room log
Throughput64.2k units/hr
Alerts4 active / 1 critical
ProDex — Monitor / Line 3Live
Line throughput
64.2k units / hr▲ 12.4% vs plan
Now
CNC

92%

WELD

88%

PAINT

61%

ASSY

90%

PACK

95%

On paceBottleneckUpdated 6s ago
ProDex — Alerts / Plant-02Live
  • Line 3 vibration over thresholdnow
  • Press B approaching service window2m
  • Cell 7 back within tolerance9m
  • Nightly calibration completed31m
“You did in 5 minutes what took us 8 months in Power BI.”

Commander — DoW Manufacturing Site

Case study

We discovered $2.1M of hidden COPQ in a leading U.S. defense prime.

Get started with ProDex.

Every factory is different. See if ProDex is the right solution to make your factory exceptional.