Seconity
Digital Twin Foundation

AI systems do not fail due to algorithms. They fail due to poor data.

Seconity doesn't create your shop floor's digital twin from CAD files, planning data, or Excel exports. Instead, it builds it from the physical process itself — automatically, in real time, as a byproduct of daily operations. For every relevant object, every status, every process step.

The problem

Most digital twins are no twins. They are models.

Built from CAD data, master data, or manually maintained information that reflects yesterday's physical reality at best. AI agents working with this data plan based on the past, not the present.

CAD data

Reflect engineering design, not operations.

SAP master data

Static and manually maintained.

Excel exports

Delayed and incomplete.

MES data

Capture processes, not positions and states of all objects.

How we do it

The twin originates from the physical reality .

Sweetspot automatically captures every movement, every location, and every status of all relevant objects. APS processes this data into valid planning parameters. Together, they create a living, accurate model of physical manufacturing — in real time, without additional projects, without manual data maintenance.

Every object is part of the twin

Machine, material, tool, order, resource — everything as an asset in the model.

Continuously updated

Positions, states, and process steps continuously flow from the physical world.

AAS standard according to IDTA

Open data model for interoperability — no proprietary format.

Directly usable for AI agents

MCP server interface for external agents and autonomous systems.

Use cases

A twin — six levers.

Once the twin exists, it becomes the foundation for everything manufacturing AI must achieve today and tomorrow.

AI agents and autonomous decision-making systems

Simulation and what-if analyses based on real-time conditions

Predictive maintenance based on physical real-time data

AMR Integration and Fleet Control

On-time delivery forecasting based on actual WIP status

Audit trails and traceability for regulated industries

Next step

Ready for AI that factors in reality ?

Wir zeigen Datenmodell, AAS-Konformität und konkrete Anwendungsfälle. Der Workshop zeigt, wo Ihre Fertigung heute steht.