Digital Twins

See the business you are buying
as one connected model.

A digital twin links a company's sites, contracts, customers, people, systems and P&L, so diligence findings, separation needs and the target state sit on the same picture. Your team can develop one on the platform, or bring in our best minds through a scoped Managed Services engagement.

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Isometric map of a fictional gearbox business: plants in Greenville, Wetzlar, Gliwice and Pune linked by flows of gear sets, housings and finished gearboxes, end markets from wind to rail, headline figures, and the TSA, IT, IP licence and shared-site ties between buyer Northgate Drive Systems and seller Hallstrom Industries
The company as connected sites and flows · Fictional case: Torvald Gear, carved out of Hallstrom Industries and bought by Northgate Drive Systems.

Four uses of one model

The market, the margin, the risks and the plan, on one model.

A twin is developed in documents and isometric visualizations on the platform. Each view below comes from the same fictional case.

Place the target in its market

Model the market value chain once, from raw materials to end markets, then place the target, its competitors and each deal on it.

  • The stages of the chain and the companies in each
  • Where value pools: service, gear-cutting IP, components, assembly
  • Demand shifts, supplier concentration and consolidation, called out where they matter
Market value-chain twin for industrial gearboxes in five stages: raw materials and forgings, components, gearbox makers including Torvald Gear, OEM integrators, and end markets and service, with market sizes, concentration and margin-pool callouts, labelled fictional and illustrative
Market value-chain twin for industrial gearboxes · Fictional figures.

Follow where margin is made and lost

Trace the target's value creation from supply to customers, and see which flows exist only because of the parent.

  • Unit costs, utilisation and bottlenecks at each step
  • Service and spares next to new-build
  • The parent flows that disappear at Day 1: group steel contract, shared R&D, central IT, logistics
Value creation flow for the fictional target in six steps: supply, gear cutting at Wetzlar, housing machining at Gliwice, regional assembly and test, service and spares, and customers, with unit costs, utilisation and bottlenecks, above a parent subsidy layer of group steel, shared R&D, central IT and logistics flows that disappear at Day 1
Value creation flow · Where margin is made and lost, and the parent flows that end at Day 1.

Put diligence findings where they land

Pin each finding to the site, contract or entity it concerns, rated by severity, so the deal team sees risk and upside on the same node.

  • Critical, high and medium findings, dependencies and opportunities
  • Legal terms, such as liability caps and TSA length, next to the operations they affect
  • The seller's datapack checked against the model
Diligence evidence in the AI Room →
Risk map on the twin: sites in Germany, Poland, the USA and India with pinned findings rated critical, high, medium, dependency or opportunity, including seller-owned gear-design IP, JV partner consent and seconded engineers, beside a legal wrapper of liability cap and TSA terms
Risk map on the twin · The two critical findings sit on the nodes with the largest upside.

Draw Day 1 against the target state

Show the business as you receive it and as you intend to run it, so the integration plan starts from the real dependencies.

  • Day 1 as received: shared site, shared systems, seconded engineers, consents pending
  • The target state: the buyer's ERP, brand and procurement, and a new role for each site
  • Options laid out where a position is still open, such as the India joint venture
Split view: on the left, Day 1 as received, with four sites tied to Hallstrom through a TSA, secondments, leases, an IP licence and shared systems; on the right, the Month 36 Northgate target state, with Northgate ERP, brand and procurement, Wetzlar as engineering and test centre, Gliwice as volume hub, and three options for the Pune joint venture
Day 1 versus the Month 36 target state · From a seller-wired carve-out to the buyer's operating model.

Every view on this page shows one fictional case: Torvald Gear, carved out of Hallstrom Industries and bought by Northgate Drive Systems. The companies, sites, contracts and figures are invented.

What makes it a twin

A linked information model, not a report and not a simulation.

Every object is linked

Contracts, programmes, products, plants, suppliers, people, systems and P&L lines are connected. When the plan changes, such as moving an assembly line to another plant, the effect can be traced through each of them.

The twin supports questions about separation, risk and integration. It does not simulate physics or run a plant.

It is built from your deal evidence: the data room, the seller's datapack, the deal thesis and site visits, in your workspace.

The spine of the twin: columns for contracts, programmes, products, plants and lines, suppliers, roles and people, systems, and P&L lines, with highlighted links tracing one change event, moving mill-drive assembly from Wetzlar to Gliwice, across all of them
The spine · One change traced across every linked object.

Who builds it

Your team, or our best minds alongside.

A twin starts from a deal question, such as an acquisition, a carve-out or an integration, and is developed around it.

On the platform

Your team develops the twin

Work with the AI Analyst in documents, slides and visualizations, drawing on the evidence in your data room.

Meet the AI Analyst → Managed Services

Our best minds build it with you

Scope a twin of a target or a market as an engagement, built in your workspace and reviewed with your deal team.

See how an engagement runs →

Model the business before the next decision.

Tell us the deal question, and we will scope the twin that helps answer it.

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