ONE DIGITAL THREAD · PRODUCT → FACTORY → PHYSICAL UNIT

Manufacturing software should follow the product through the factory.

Engineering truth should not disappear at release. Oprela carries product definition, production structure, execution evidence and traceability through one digital thread and a vendor-neutral manufacturing architecture.

Why this architecture exists

Most factories do not lack software. They lack continuity between engineering truth and production reality.

01

Engineering knows what should be built

Configuration, CAD, drawings and BOM define the intended product and its released structure.

02

Production knows what actually happened

Orders, operations, resources, scans, evidence and quality events describe physical execution.

03

Machines know how to perform a process

CAM formats, post-processors and machine programs translate manufacturing intent into machine-specific execution.

04

Oprela connects those layers

A canonical manufacturing model keeps product, process and execution context linked without locking the core to one vendor.

From configuration to Digital Twin

The physical product should remain connected to the engineering and production context that created it.

1
01

Configuration

Resolved parameters, options and product rules.

2
02

Engineering Truth

Parts, geometry, drawings, features and revisions.

3
03

Manufacturing Structure

BOM, routing requirements, resources and process intent.

4
04

Production Execution

Orders, operations, workers, stations, scans and evidence.

5
05

Physical Unit

The actual manufactured product and its quality outcome.

6
06

Digital Twin

A reconstructable record of what was defined, executed and verified.

Architecture principles

The manufacturing model stays stable while vendors, machines and integrations can change around it.

01

Vendor-neutral at the core

Solid Edge, RADAN, TubesT, TubePro and machine-specific formats belong in adapters. The canonical manufacturing model remains independent from them.

02

Machine-agnostic by design

Sheet, tube, CNC and robotic production can share the same product and process context while exposing their own capabilities.

03

AI-native, human-controlled

AI can assist engineering, quality, monitoring and exception analysis while critical production actions remain traceable and controlled.

04

Built to expand

Start with one product family or production line. Add deeper CAD, MES, Vision, Digital Twin and machine adapters without replacing the foundation.

The goal is not another module. It is continuity.

Show us where engineering data stops today and where production starts rebuilding it.