Prostep iViP compliant SAP IPD native

The Intelligence Hub Your End-to-End Process Needs.

INOMIC DCP — the Digital Collaboration Platform — connects engineering geometry, requirements, process data and enterprise logic. It packages that context into DDPs, Digital Data Packages, so every handover is structured, traceable and ready for action.

DCP

Digital Collaboration Platform

The web platform where engineering, quality, procurement and manufacturing teams import data, map it to a shared ontology, explore the digital thread and trigger governed SAP or collaboration workflows.

DDP

Digital Data Package

A versioned product-data container that holds files, extracted entities, relations, metadata and decisions as a graph. It is the trusted handover package between systems, teams and lifecycle phases.

Live DDP Cockpit
INOMIC Digital Collaboration Platform interface
DDP graph workspace
Structured product context
Files, entities, relations and decisions managed as one traceable package.
Nexus found 12 SAP matches
Ready for governed SAP workflow
prostep iViP

Digital Data Package collaboration

Working with prostep iViP on the DDP standard.

INOMIC DCP is positioned around the Digital Data Package as an open, standards-oriented handover model for engineering collaboration. The goal is not another closed silo, but a practical package that can travel across companies, systems and lifecycle phases.

Deploy anywhere

Flexible technology stack

Run DCP in the environment that fits the customer: SAP BTP, cloud, private cloud, container platform or customer-managed infrastructure.

Adaptable metamodel

CASCaRA ontology

The flexible metamodel can be extended to customer-specific entities, relations, properties and lifecycle requirements without losing the common DDP foundation.

What the platform actually does

It converts engineering chaos into a governed product graph.

DCP is the operating platform. DDPs are the structured packages it creates and manages. Together they turn scattered files, SAP records and engineering decisions into a connected graph that teams can validate, publish and reuse.

Digital Data Packages

Versioned project containers that hold entities, relations, files, metadata and review-ready snapshots.

Ontology-backed graph

A semantic graph makes requirements, components, functions, tasks, inspections and lifecycle events traceable.

Import intelligence

Map STEP, ReqIF, QIF, SpecIF, BPMN, SysML/XMI, PLM XML, AAS and inspection data into one model.

Enterprise execution

Connect SAP IPD, S/4HANA, SAP Collaboration, SAP BPA and Onshape without losing governance.

Supported data sources and integrations

DCP connects engineering files, enterprise systems, requirements, process models and quality data into one governed product graph.

STEP AP242PMISAP IPDS/4HANAOnshapeReqIFBPMNSysML / XMIQIFSpecIFPLM XMLAAS STEP AP242PMISAP IPDS/4HANAOnshapeReqIFBPMNSysML / XMI

Digital thread cockpit

Explore a live DDP version as a connected product graph.

The cockpit works on real DDP version data: normalized entities, subject/object relations, trace paths, BOM projections, asset events and integration status. It makes data origin and integration readiness transparent, so teams know which context is verified, pending or unavailable.

Version-scoped Graph backed API driven
Live cockpit view

Trace traversal

DDP version graph
Mechanical component
Damper housing
Selected entity
Requirement
Sealing force
Upstream dependency
Inspection plan
Critical diameter
Downstream quality context
eBOM
Assembly
Housing
Seal ring
mBOM
Machining setup
Purchased seal
Inspection step
Linked context
Cross-BOM relation
Design source
SAP material reference
Asset feedback loop
Asset instance
Installed product
Lifecycle event
Service / field signal
Design entity
Root cause context
Events are projected from graph relations, so teams can connect real-world feedback back to the DDP design definition instead of treating it as a disconnected note.
Onshape
Document link status

Shows whether a DDP has connected CAD documents and available manufacturing context.

SAP IPD
Session readiness

Surfaces signed-in integration readiness instead of silently falling back to demo data.

S/4HANA
Registered systems

Shows available enterprise systems for material, BOM, stock and inspection context.

Demo mode
Explicit boundary

Keeps illustrative views separate from live DDP version data.

Select any entity and inspect bounded upstream or downstream relation paths using the normalized DDP graph contract.
Nexus AI inside

Not a chatbot. A guided engineering collaborator.

Nexus understands DDP context, mapping rules, SAP system state and recent user sessions. It helps teams classify data, validate links, explain graph impact and initiate governed enterprise workflows.

1
Ask better questions

Nexus gathers geometry, classification, PMI, plant, BOM, quality and lifecycle intent before critical actions.

2
Find reuse before creation

For SAP material flows, it searches exact matches, duplicates and template candidates before starting a governed request.

3
Escalate with governance

Productive material creation is routed through SAP Build Process Automation with explicit confirmation and approvals.

Nexus transcript

Inventory and BOM impact check

How many damper housings do we have on the shelf, and how many BOMs would be affected if I change this tolerance?
I found 184 pieces in unrestricted stock across two plants, 23 reserved for open orders and 41 on the quality shelf. The tolerance change touches 6 released BOMs, 2 manufacturing routings and 3 inspection plans.
Recommendation: review the 2 safety-critical assemblies first, then start an engineering change workflow with the affected BOMs, stock lots and quality characteristics attached.
Session memory

Relevant Nexus conversations can be summarized back into context without database migrations.

Mapping help

Explain import formats, suggest ontology mappings and catch relation-type mistakes early.

Industrial integrations

Built for real engineering systems and decisions.

The platform treats CAD, SAP, process models, requirements, inspection data and collaboration events as first-class citizens. Each source keeps its authority while DCP creates the traceable context between them.

Engineering files

STEP AP242 + PMI

Extract geometry context, product manufacturing information, datum structures, tolerances and viewable engineering evidence.

Enterprise systems

SAP IPD + S/4HANA

Access design items, collaborations, BOM structures, material data, inspection plans and SAP OData services.

Cloud CAD

Onshape

Connect documents, parts, metadata and manufacturing context with OAuth-ready collaboration workflows.

Process semantics

BPMN + SysML

Bring functions, tasks, model views, activities and process relations into the same graph as product structure.

Requirements

ReqIF + SpecIF

Connect requirements, roles, use cases and specification artifacts to engineering evidence and decisions.

Quality data

QIF + inspection CSV

Link inspection characteristics, measurement intent and quality planning back to the source design definition.

End-to-end workflow

A closed loop from raw input to governed action and production feedback.

BPMN-inspired V-model

DCP connects lifecycle domains into one governed digital thread.

The platform acts as the structured bridge between early engineering intent, standards-based data packages, enterprise workflows and validated production feedback.

Left side: define and capture context
Center: DDP + CASCaRA ontology
Right side: validate, act and learn
DEFINE / CAPTURE VALIDATE / ACT FEEDBACK LOOP Start Requirements ReqIF, use cases, intent Engineering data CAD, BOM, PMI, process DCP grey box DDP + CASCaRA ontology Normalize entities, relations and decisions Validate context Trace, review, publish Ready for workflow? Governed action SAP, suppliers, quality Outcome Domain standards BPMN, SysML, AP242, QIF
01 / Capture

Create a DDP

Start with CAD, BOM, requirements, process, quality and enterprise files while keeping original artifacts attached.

02 / Normalize

Map ontology

Turn imported fragments into consistent entity types, relation types and properties that teams can query.

03 / Validate

Publish context

Use graph views, PMI visualization, BOM projections and validation feedback to publish an immutable snapshot.

04 / Act

Send forward

Trigger SAP Collaboration, guided SAP BPA requests, quality planning checks or stakeholder reviews with context intact.

05 / Feedback

Loop back

Bring production results, stock impact, deviations, inspection evidence and BOM changes back into engineering decisions.

Mini roadmap

Ready modules today, core platform hardening next.

DCP is being built in transparent increments. Several capabilities are already demonstrable, while the team continues to stabilize basic end-to-end functions, enterprise governance and production-grade integrations.

Ready / demoable

Working product capabilities

  • DDP project containers, versions, branches and graph-based product context.
  • STEP AP242 viewing with PMI extraction, callout navigation and selected annotation highlighting.
  • Digital Thread cockpit, multi-format import foundations and Nexus guidance.
Now / stabilizing

Basic functions becoming reliable

  • Complete create-import-review-edit-publish flow for everyday DDP work.
  • Entity and relation CRUD, ontology validation, clear errors and import quality feedback.
  • UX consistency, accessibility, audit foundations and permission-aware collaboration.
Next / scale-up

Enterprise readiness

  • Governed SAP BPA material flows, inspection planning and collaboration handovers.
  • Deeper SAP, Onshape and external connector coverage with safer operational controls.
  • Performance, RBAC, audit reporting, deployment hardening and pilot-customer readiness.
Transparent status

Not every workflow is production-complete yet.

The current focus is converting working modules into a dependable enterprise MVP: reliable basic functions first, then broader integrations, automation and scale.

Why it wins

The clear alternative to disconnected PLM handovers.

Fewer blind handovers

Replace scattered spreadsheets and screenshots with traceable packages that carry context across disciplines.

Better SAP decisions

Check reuse candidates, duplicates, templates and quality relevance before writing business-critical master data.

Sharper supplier collaboration

Send structured product context, requirements and manufacturing evidence instead of ambiguous file bundles.

Audit-ready traceability

Keep versioned snapshots, relation constraints, user context and integration status visible for regulated work.

Ready to close the loop?

Validate DCP on your own engineering and production context.

Bring a STEP file, a BOM, a requirements export, an SAP scenario or a production issue. We will show how DCP structures the context, drives governed action and brings operational feedback back to engineering.

Book a demo
Contact INOMIC

Book a guided DCP demo.

Send us a short email and we will coordinate a demo session with the right technical context for your engineering, production or SAP scenario.

1Send your request to info@inomic-solutions.com.
2INOMIC aligns the demo scope with your use case.
3We schedule a guided DCP walkthrough with your team.
Contact us by email

Please include your company, preferred timing and the scenario you would like to discuss.

DCP newsletter

Stay close to the Digital Data Package roadmap.

Get practical updates on DCP, Digital Data Packages, Nexus, SAP collaboration flows, STEP AP242 PMI and digital-thread implementation patterns. Signups are forwarded to HubSpot for INOMIC newsletter communication.

Process waste simulator

How much does disconnected engineering really cost?

Estimate the weekly, monthly and annual productivity loss created by manual searching, remapping, re-entering and revalidating product data across engineering and enterprise systems.

Weekly waste
€11,900

Time spent recreating context, searching, checking and copying between tools.

Monthly waste
€51,567

A realistic business view using 52 working weeks per year.

Annual waste
€618,800

Budget lost to disconnected handovers before considering rework and schedule risk.

Recoverable value
€259,896

Potential annual value unlocked by structured DDPs, graph traceability and guided workflows.

Where the waste usually hides

Manual data transfer

Repeated copy-paste between CAD, spreadsheets, SAP and collaboration tools.

Duplicate decisions

Teams validate the same material, requirement or tolerance because the previous context is not trusted.

Lost traceability

A change in one discipline does not automatically reveal impacted functions, BOMs or quality plans.

Late rework

Quality, manufacturing or procurement discovers missing context only after the package has moved downstream.

DCP attacks the root cause

  • Structured DDPs preserve original files and extracted semantics together.
  • The graph reveals dependency chains before work moves downstream.
  • Nexus helps teams classify, validate and reuse the right enterprise data.
  • SAP and collaboration flows receive governed context instead of guesswork.
Discuss ROI model