Digital Data Packages
Versioned project containers that hold entities, relations, files, metadata and review-ready snapshots.
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.
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.
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.
Digital Data Package collaboration
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.
Run DCP in the environment that fits the customer: SAP BTP, cloud, private cloud, container platform or customer-managed infrastructure.
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
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.
Versioned project containers that hold entities, relations, files, metadata and review-ready snapshots.
A semantic graph makes requirements, components, functions, tasks, inspections and lifecycle events traceable.
Map STEP, ReqIF, QIF, SpecIF, BPMN, SysML/XMI, PLM XML, AAS and inspection data into one model.
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.
Digital thread cockpit
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.
Shows whether a DDP has connected CAD documents and available manufacturing context.
Surfaces signed-in integration readiness instead of silently falling back to demo data.
Shows available enterprise systems for material, BOM, stock and inspection context.
Keeps illustrative views separate from live DDP version data.
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.
Nexus gathers geometry, classification, PMI, plant, BOM, quality and lifecycle intent before critical actions.
For SAP material flows, it searches exact matches, duplicates and template candidates before starting a governed request.
Productive material creation is routed through SAP Build Process Automation with explicit confirmation and approvals.
Relevant Nexus conversations can be summarized back into context without database migrations.
Explain import formats, suggest ontology mappings and catch relation-type mistakes early.
Industrial integrations
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.
Extract geometry context, product manufacturing information, datum structures, tolerances and viewable engineering evidence.
Access design items, collaborations, BOM structures, material data, inspection plans and SAP OData services.
Connect documents, parts, metadata and manufacturing context with OAuth-ready collaboration workflows.
Bring functions, tasks, model views, activities and process relations into the same graph as product structure.
Connect requirements, roles, use cases and specification artifacts to engineering evidence and decisions.
Link inspection characteristics, measurement intent and quality planning back to the source design definition.
End-to-end workflow
The platform acts as the structured bridge between early engineering intent, standards-based data packages, enterprise workflows and validated production feedback.
Start with CAD, BOM, requirements, process, quality and enterprise files while keeping original artifacts attached.
Turn imported fragments into consistent entity types, relation types and properties that teams can query.
Use graph views, PMI visualization, BOM projections and validation feedback to publish an immutable snapshot.
Trigger SAP Collaboration, guided SAP BPA requests, quality planning checks or stakeholder reviews with context intact.
Bring production results, stock impact, deviations, inspection evidence and BOM changes back into engineering decisions.
Mini roadmap
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.
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
Replace scattered spreadsheets and screenshots with traceable packages that carry context across disciplines.
Check reuse candidates, duplicates, templates and quality relevance before writing business-critical master data.
Send structured product context, requirements and manufacturing evidence instead of ambiguous file bundles.
Keep versioned snapshots, relation constraints, user context and integration status visible for regulated work.
Ready to close the loop?
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.
Send us a short email and we will coordinate a demo session with the right technical context for your engineering, production or SAP scenario.
Please include your company, preferred timing and the scenario you would like to discuss.
Process waste simulator
Estimate the weekly, monthly and annual productivity loss created by manual searching, remapping, re-entering and revalidating product data across engineering and enterprise systems.
Time spent recreating context, searching, checking and copying between tools.
A realistic business view using 52 working weeks per year.
Budget lost to disconnected handovers before considering rework and schedule risk.
Potential annual value unlocked by structured DDPs, graph traceability and guided workflows.
Repeated copy-paste between CAD, spreadsheets, SAP and collaboration tools.
Teams validate the same material, requirement or tolerance because the previous context is not trusted.
A change in one discipline does not automatically reveal impacted functions, BOMs or quality plans.
Quality, manufacturing or procurement discovers missing context only after the package has moved downstream.