Seconity
Digital Twin Foundation

Most twins don't know your manufacturing floor. Ours originates from it.

CAD models depict engineering design. Master data is static. Excel is a thing of the past. Seconity generates the digital twin directly from physical operations – every position, every status, every process step, in real time. As a byproduct of daily operations, without an extra project.

25 pages, no marketing. Architecture, data model, real-world examples.

The problem

A twin that doesn't know reality isn't one. It is a model.

Almost every industrial company today has some form of digital twin. And almost none of them knows what is actually happening in production right now.

  • CAD data describe how the shop floor was built. Not what is stored, placed, or moving inside it today.
  • ERP master data are static, manually maintained, and to some extent incorrect in every plant.
  • Excel exports are outdated the moment they are generated.
  • MES data capture process steps – but not the positions and states between steps.
How it is created

Not forced. Generated. From every event in your operations.

Level 1 (Physical AI) automatically captures every movement, position, and status. Level 2 (APS) processes these events into valid planning variables. Together, this creates a living, accurate model of your production that updates itself every second.

01

Objects

Every machine, every material, every tool, every load carrier – identified and typed.

02

Positions

Indoor accurate to 10 cm, outdoor via GPS. Recorded as a digital thread.

03

States

Available, occupied, in progress, locked, calibration required – actual status instead of target status.

04

Process steps

Which order completed which process step, when, and where. Automatically documented.

05

Planning parameters

Actual WIP, capacity utilization, bottleneck forecasts – enriched from the APS feed.

06

Event history

The complete digital thread of every object. The foundation for traceability and the digital product passport.

β€œThe digital twin is not a project. It is what remains when your operations are running.”
Standards & Regulations

Asset Administration Shell, Product Passport, Traceability: Regulations demand precisely the data you are generating anyway.

AAS Β· IDTA

Asset Administration Shell

Open standard for the interoperable digital twin. Seconity delivers AAS-compliant submodels directly from live operations.

EU ESPR

Digital Product Passport

The DPP is gradually becoming mandatory. The data trail is created as a byproduct of every automated capture. Eliminate manual steps today – be DPP-ready tomorrow.

GS1 EPCIS

Traceability

Standard-compliant events that customers, suppliers, and auditors understand. The twin doesn't end at the factory gate.

What you use it for

Today and in three years.

AI agents

Via MCP, agents access the twin directly – working with the present instead of exports.

Simulation & What-if

Simulate rescheduling based on real-time conditions before it gets expensive.

Predictive Maintenance

Usage profiles, travel paths, and condition histories from physical capture.

Autonomous fleets

AMRs need a real-time picture of their environment – including objects without a wireless module.

On-time delivery forecasting

Actual WIP reveals which deadline will slip – before it slips.

Audit & Traceability

Seamless digital thread. Mandatory for regulated industries, not an option.

Scope

Two types of twins. Only one knows your shop floor.

Data source
CAD, master data, manual maintenance
Automated capture of ongoing operations
Timeliness
Status: last maintenance update
Real-time, updated every second
Setup effort
In-house project, months to years
By-product of the use cases
Maintenance effort
Permanent, manual
None – operations maintains it
Ready for AI & autonomy
Limited: calculates based on the past
Yes: calculates with the present
ROI
Indirect, long-term
From the first use case, in 6–14 months
Next step

ROI today. And along the way, your digital twin.

Architektur, Datenmodell und der Weg vom ersten Use Case zum lebendigen Zwilling – mit Praxisbeispielen aus der diskreten Fertigung.