FlowTwin prototype

See the impact before the delay.

FlowTwin is a living model of your operation. It connects signals, orders, resources and decisions so your team can understand what changed and test what to do next.

FlowTwin live model

Demo environment · Eindhoven plant

12 systems in sync

New operational signal

Bearing set B-17 will arrive 7 hours late

Supplier portal · 09:42

1

Order

2

Planning

3

Production

4

Quality

5

Delivery

Linked order

PO-2841 · Pump assembly

Predicted impact

Thursday delivery at risk

Recommended response

92% confidence

Move PO-2846 to Cell 02 and reserve Friday’s first assembly slot for PO-2841.

PlanningAssemblyDelivery

Prototype data · No production systems are changed

Updated just now

The missing operational view

A dashboard shows now. A twin shows what happens next.

Most factories already have the facts: an ERP order, a machine event, a supplier update and a quality result. The difficult part is seeing how one change moves through the rest of the operation.

FlowTwin builds that connected view without pretending to replace every specialist system. It gives planners, operators and managers one shared model for understanding impact and coordinating the response.

From signal to decision

One model, continuously grounded in real work.

01

Connect the signals

Orders, machines, quality checks, material events and people remain in their existing systems while FlowTwin listens for meaningful changes.

02

Map the dependencies

The model understands which order, operation, resource and delivery each signal can affect, including the relationships hidden between systems.

03

Test the next move

Teams can compare practical responses before changing the plan, with constraints, impact and operational history in view.

Built for operational decisions

Start with one costly uncertainty.

A useful twin does not begin as a digital replica of the entire factory. It begins with one decision your team repeatedly makes with incomplete context.

01

Material disruption

See which orders and delivery promises are exposed when supply changes.

02

Capacity changes

Rebalance work around machine downtime, absence or an urgent order.

03

Quality deviations

Contain affected work and expose the next approved action immediately.

04

Planning decisions

Compare sequences before publishing a change to people and systems.

Designed for controlled adoption

Read before write

Begin with visibility and simulation before any automated system change.

Human decisions stay visible

Recommendations include context, confidence and accountable ownership.

Existing systems remain

Connect ERP, quality, machine and collaboration tools instead of rebuilding them.

Every response has history

Signals, options and decisions remain traceable for review and learning.

A practical first twin

Useful in weeks, not years.

We map one operational flow, connect the minimum viable data and validate decisions with the people who run the work. The first version is deliberately narrow enough to trust and structured to grow.

One workflow

Real history

Live signals

Prototype with your process

Bring one recurring disruption. We will map its operational twin.

A focused session is enough to identify the signals, dependencies and decisions a useful first prototype needs.

Map a FlowTwin