Production Simulation for M&A

See production reality
before you write the check.

A production simulation shows what a target plant will do after the deal, running 500 scenarios in the time a traditional model runs one.

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The Gap in Operational Due Diligence

Every other tool audits the past.
None of them simulate the future.

Value stream mapping, ERP data mining, site visits and lean audits all tell you what the plant does today. None of them tells you what it will produce after you integrate it, change the shift pattern or run it at 120% demand.

01 / License

License the Tools

Give your operational due diligence analysts independently validated production simulation. They can model capacity, test scenarios and check throughput claims without a simulation PhD.

For: PE ops teams · Operational due diligence practices · Corp dev

02 / Train

Train Your Team

We train your analysts to build and validate production models on live deals. Instructor-led courses run from building the model through experimentation, until your team can work on its own.

For: Consulting teams adding simulation to their practice

03 / White-Label

White-Label Modeling

When your team needs extra capacity or specialized depth, we build the model under your brand, including during deal surges.

For: Firms that want capability without headcount

The Speed Difference

500 scenarios
while they run one.

Traditional simulation takes days to set up and hours to run a single scenario. Our simulation engines run hundreds of scenarios in seconds, so you can run sensitivity analysis during negotiations instead of reading a static report after the deal closes.

Traditional Simulation

Days to set up

Hours per scenario

Tracks every individual item, so the event count explodes at production speed and results arrive after the deal window closes.

Discrete Rate Simulation

Minutes to set up

Seconds per scenario

Calculates flow rates and fires events only when something changes. Run 500 what-if scenarios before the next call with the seller.

For Private Equity & M&A

Before you close,
know what the plant actually produces.

The seller's Pareto says fix the Labeler. The simulation says the Filler micro-stops recover 3× more throughput.

What your team can answer with our tools

Does this plant actually produce what the seller claims?
Which improvements will move throughput, and which won't?
What happens if demand rises 20%, or 40%?
Will their proposed CAPEX plan deliver the stated ROI?
Where will performance drift post-close?

For Due Diligence Consultancies

Add quantitative production simulation to your practice. We train your team and support your first engagements.

For PE Operating Partners

Run production analysis in-house across your portfolio. One platform covers pre-close diligence and post-close monitoring, with models validated against the historian.

For Corporate Development

Repeatable production modeling for repeat acquirers. Build institutional capability that gets better with every deal.

For Academic Research

Generate validated scenarios for operations research from a model that respects real system dynamics.

How We Work

How we work with your team.

We don't compete for your deals. We help your team do better on each one.

We scope the capability fit

What deal types do you see? Manufacturing, process, repairable fleets? We map our tools to your practice and find where simulation helps most.

We train your analysts

Instructor-led courses from model construction through scenario experimentation. Your team builds real models on real data.

Your team runs it on live deals

Production data from the data room goes into the model. 500 scenarios run in seconds. Your team delivers the analysis under your brand.

We're here when you need depth

When a deal surge or a complex topology stretches your team, we build the model under your brand.

"Those 120 one-minute interruptions are creating cascading problems throughout your system that don't show up under the original problem's name. When you eliminate them, you often recover 180–220 minutes of uptime — significantly more than the original downtime suggests."

Tom Lange

36 years in manufacturing R&D · Retired Director, Modeling & Simulation, Corporate R&D
Co-author, "High Accuracy Discrete Rate and Reliability Modeling" (Winter Simulation Conference 2020)

The Platform