NeuNexus
NeuNexus · Industrial Innovation Platform

NeuNexus Industry 4.0 Blueprint

Executive Strategic Report
Smart Factory Uetze · Integrated Autonomous Industrial Ecosystem
Location
Uetze · Niedersachsen · DE
Programme
Industry 4.0 → 5.0
Consortium
8 organisations
Document
v1.0 · February 2026
Prepared for industrial partners, research institutions, and public stakeholders.
Executive Summary

A converged industrial platform for autonomous manufacturing in Lower Saxony.

The NeuNexus Industry 4.0 Blueprint describes an integrated industrial ecosystem anchored in Uetze, Lower Saxony, designed to demonstrate how renewable energy, industrial digitalisation and autonomous manufacturing can operate as a single, coherent platform rather than as isolated technology stacks.

The programme is led by NeuNexus as the platform integrator and orchestrated with a consortium of specialised technology providers. NeuGreen Energy operates as the first active business division, delivering the renewable generation, energy storage and mobility layer. A second layer — the digital, robotic and vision stack — is being engaged with strategic technology partners; these engagements are framed as proposed collaborations until formally signed.

Purpose

To establish a replicable European reference model for a Smart Factory that is renewable-powered, digitally twinned, AI-orchestrated, and robotically operated — with a clear path from pilot to commercial-scale industrial operation.

§1Strategic vision

Converge Industry 4.0 capabilities (automation, digital twin, edge, AI) with Industry 5.0 principles (human-centric, resilient, sustainable manufacturing) inside a single operational platform, and deploy it as an anchor asset in Lower Saxony.

§2Industrial challenge

European manufacturing faces four structural pressures — energy volatility, labour shortages, accelerating digital transformation, and a hardening sustainability mandate. Point solutions no longer suffice; convergence is required.

§3Proposed solution

A layered architecture that unifies solar generation, battery energy storage systems (BESS), industrial networks, edge computing, machine vision, cognitive robotics and logistics into a governed operational plane — delivered incrementally through a six-phase roadmap.

§4Expected impact

A demonstrator that materially reduces on-site carbon intensity, offers a transferable industrial operating model to European SMEs, and positions the Uetze site as a technology attraction pole for partners, universities and public programmes.

§5Consortium overview

NeuNexus (integrator) · NeuGreen Energy (operational division) · Bluesun Solar, Wattzing, BENY New Energy (renewable & storage — active) · Siemens, VCOW, DFOPTIX (digitalisation, edge and precision vision — proposed) · NEURA Robotics, Fraunhofer (autonomous manufacturing and applied research — proposed).

Chapter 1

Strategic Vision.

NeuNexus is designed as an industrial integrator rather than a single-technology vendor. Its strategic thesis is that the next competitive leap for European manufacturing will not come from optimising any one domain in isolation, but from orchestrating renewable energy, digital intelligence and autonomous operations as a single control plane.

1.1From Industry 4.0 to Industry 5.0

Industry 4.0 delivered connectivity, sensorisation and data. Industry 5.0 shifts the emphasis to human-centric, resilient and sustainable production. NeuNexus adopts both — technological depth from 4.0, operational philosophy from 5.0.

1.2AI-driven manufacturing

Industrial AI is treated as a horizontal capability that operates across quality inspection, predictive maintenance, energy scheduling and process optimisation, not as a discrete product.

1.3Autonomous robotics

Robotics is a strategic layer, not a peripheral one. Proposed collaboration with NEURA Robotics targets cognitive and humanoid robots deployed in structured collaboration with human operators for flexible manufacturing cells.

1.4Smart energy

Solar generation and battery storage are treated as first-class components of factory operations, not merely a utility supply. Energy management is intended to be observable and controllable through the same digital twin used to operate the manufacturing floor.

1.5Digital factory

A unified digital twin is the strategic north-star: every physical asset — panels, inverters, batteries, robots, vision systems, logistics — is projected into a single simulated representation used for planning, operation and continuous improvement.

1.6Carbon-neutral manufacturing

Carbon-neutral operation is a design constraint, not an offset strategy. Renewable generation, storage optimisation, and load-shifting via industrial AI are combined to minimise grid dependence.

Chapter 2

Industrial Challenges.

The NeuNexus programme is a response to four converging pressures on European manufacturing. None of them are hypothetical, and none can be addressed through incremental investment in any single technology stack.

PressureManifestationImplication for NeuNexus
Energy transitionVolatile grid prices, mandatory decarbonisation targetsOn-site renewable generation and BESS integrated with production scheduling
Labour shortagesSkilled operator gap, generational turnoverAutomation and cognitive robotics as productivity multipliers, not replacements
Digital transformationFragmented data, legacy MES, siloed SCADAUnified digital twin and edge-first architecture
Industrial competitivenessCost pressure vs. Asian volume, US IRA capitalHigher-value autonomous cells and premium quality via machine vision
Sustainability & ESGRegulatory reporting, customer scope-3 demandsCarbon-neutral factory design and traceable ESG metrics
Manufacturing efficiencyOEE plateaus, batch inflexibilityAI-orchestrated production with continuous digital-twin feedback
Table 2.1 — Structural pressures on European manufacturing

Chapter 3

NeuNexus Integrated Solution.

The NeuNexus solution is a layered platform. Each layer is delivered by specialised partners but operates through common data, control and governance planes. The result is an ecosystem in which energy, automation, vision, robotics and logistics behave as a single operating system for the factory.

3.1Renewable energy & storage

Photovoltaic generation and hybrid inverters deliver primary energy. Battery Energy Storage Systems (BESS) provide load-shifting, peak-shaving and continuity. This layer is operated by NeuGreen Energy with active suppliers Bluesun Solar, Wattzing and BENY New Energy.

3.2Industrial automation & digital twin

Proposed collaboration with Siemens for the digitalisation, automation and Digital Twin (Xcelerator) backbone. Provides the process control fabric and the simulation environment used to plan and operate every downstream layer.

3.3Edge computing & industrial AI

Proposed collaboration with VCOW for ruggedised industrial edge nodes and AI compute infrastructure. Enables real-time inference next to the process — vision, anomaly detection and adaptive control run at the edge, not in the cloud.

3.4Machine vision & metrology

Proposed collaboration with DFOPTIX for optical inspection, sensor calibration and industrial metrology. Provides the closed-loop quality-assurance layer for autonomous production cells.

3.5Cognitive robotics

Proposed collaboration with NEURA Robotics for humanoid and cognitive robots operating alongside human personnel in structured human-robot collaboration.

3.6Logistics & mobility hub

Internal logistics interconnects the factory with the mobility layer of the NeuGreen ecosystem — EV charging, HX Smart Point infrastructure and last-mile electric vehicles. Presented here as a conceptual architecture until physical siting is confirmed.

3.7Applied research

Proposed research collaboration with Fraunhofer for technology validation, pilot instrumentation and joint industrial demonstrators.

Chapter 4

Consortium Structure.

The consortium is organised around a single integrator (NeuNexus) with two active layers already in operation (energy and mobility, via NeuGreen) and four proposed technology layers to be formally engaged during Phase 2 (Engineering).

4.1NeuNexus — Platform Integrator

Mission. Orchestrate the industrial ecosystem — commercial, technical and regulatory — across all consortium members.

Technical role. Reference architecture, integration standards, digital twin governance and data model ownership.

Contribution. Single point of accountability for the platform. Owner of the cross-partner roadmap.

4.2NeuGreen Energy — Operational Division

Mission. Deliver and operate the renewable, storage and mobility layer of the ecosystem in Germany.

Technical role. PV plant sizing, BESS engineering, energy management and private-label supply of storage and charging assets.

Contribution. First live business division of NeuNexus; commercial channel to residential and C&I customers.

4.3Bluesun Solar — Active Partner

Technical role. OEM manufacturing of N-Type TOPCon PV modules and hybrid inverter kits; private-label solar supply for NeuGreen.

Integration. Feeds the generation node of the Smart Factory energy layer.

4.4Wattzing — Active Partner

Technical role. OEM BESS and hybrid inverters, 5 kWh residential to 500 kWh commercial. Certified LFP chemistries.

Integration. Provides storage capacity into the factory energy management system and behind-the-meter buffering.

4.5BENY New Energy — Active Partner

Technical role. EV charging systems, DC protection devices, air-cooled 100 kW / 241 kWh commercial BESS.

Integration. Interfaces the mobility layer with the industrial grid; supplies protection and control components across the storage stack.

4.6Siemens — Proposed Strategic Partner

Technical role. Digital Twin platforms (Xcelerator), industrial automation, industrial software and Smart Infrastructure.

Integration. Backbone of the digital and control fabric for the Smart Factory. Formalisation pending.

4.7VCOW — Proposed Strategic Partner

Technical role. Industrial edge computing, ruggedised industrial PCs and AI compute infrastructure.

Integration. Hosts real-time inference and Digital Twin execution close to the process.

4.8DFOPTIX — Proposed Strategic Partner

Technical role. Machine vision, optical inspection, sensor calibration, industrial metrology.

Integration. Quality-assurance layer around every autonomous cell.

4.9NEURA Robotics — Proposed Collaboration

Technical role. Cognitive robotics and humanoid robots for autonomous manufacturing and human-robot collaboration.

Integration. Populates the robotic cells of the Smart Factory demonstrator.

4.10Fraunhofer — Proposed Research Collaboration

Technical role. Applied research, technology validation, pilot projects and industrial demonstrators.

Integration. Scientific validation and de-risking of novel process elements.


Chapter 5

Technical Architecture.

The reference architecture is expressed as a stack of layered planes. Data flows upward from physical assets through edge and platform layers; control commands flow downward from the digital twin and industrial AI back to actuators.

LayerFunctionPrimary owner
Physical layerPV modules, inverters, BESS, robots, machinery, vehiclesNeuGreen Energy (active) · NEURA (proposed)
Energy layerGeneration, storage, load management, energy meteringNeuGreen Energy
Industrial networkDeterministic fieldbus, OPC-UA, TSN Ethernet, wirelessSiemens (proposed) · NeuNexus
Edge computingRuggedised industrial PCs, real-time inferenceVCOW (proposed)
Artificial intelligencePredictive maintenance, energy optimisation, adaptive controlNeuNexus · Fraunhofer (proposed)
Machine visionOptical inspection, metrology, calibrationDFOPTIX (proposed)
RoboticsCognitive/humanoid robots, collaborative cellsNEURA Robotics (proposed)
ManufacturingMES, production orchestration, digital twin runtimeSiemens (proposed) · NeuNexus
Quality controlClosed-loop QA via vision + AI + traceabilityDFOPTIX + NeuNexus
Logistics & mobilityInternal logistics, EV charging, mobility hubNeuGreen · BENY New Energy
Table 5.1 — NeuNexus reference architecture (data flows upward, control flows downward)

A single digital twin spans all layers. Its role is not documentation but active operation: simulated behaviour is compared with real telemetry, and divergence triggers investigation and control actions.


Chapter 6

Smart Factory Workflow.

The operational workflow of the Smart Factory Uetze demonstrator follows a single value chain from renewable generation to product delivery. Every stage is instrumented and represented in the digital twin.

StageDescriptionEnabling technology
1. Solar energyPV generation on-siteBluesun N-Type TOPCon modules
2. Battery storageBESS buffers generation vs. demandWattzing · BENY C&I storage
3. Energy managementLoad shifting, peak shaving, grid interfaceNeuGreen EMS
4. AutomationPLC/SCADA control of process assetsSiemens (proposed)
5. Industrial AIPredictive control, optimisation, schedulingVCOW compute (proposed) · NeuNexus
6. Machine visionInline optical inspection and calibrationDFOPTIX (proposed)
7. Humanoid roboticsFlexible cells, human-robot collaborationNEURA Robotics (proposed)
8. ProductionAssembly, batch or continuous productionConsortium-wide
9. Quality inspectionClosed-loop QA via vision + AI + traceabilityDFOPTIX + NeuNexus
10. WarehouseAutomated storage and internal logisticsNeuNexus (conceptual)
11. DistributionElectric last-mile mobility, EV chargingNeuGreen mobility + BENY
Table 6.1 — End-to-end Smart Factory workflow

Chapter 7

Partner Responsibilities.

The RACI matrix below identifies, for each major deliverable, the party Responsible for execution, Accountable for the outcome, Consulted during design and Informed of results. All entries involving proposed partners are indicative and subject to formal engagement.

DeliverableNeuNexusNeuGreenSiemens*VCOW*DFOPTIX*NEURA*Fraunhofer*
Platform integrationACCCCCI
Energy & storage layerCAIIIII
Automation & digital twinACRCICC
Edge & industrial AIAICRCCC
Machine vision & metrologyAICCRCC
Autonomous roboticsAICCCRC
Applied researchCIIICCR
Commercial go-to-marketARIIIII
Table 7.1 — Responsibility matrix (RACI) — indicative for proposed collaborators

R = Responsible · A = Accountable · C = Consulted · I = Informed. Entries marked with * are contingent on the formalisation of the corresponding proposed collaboration.


Chapter 8

Innovation Highlights.

  • Unified digital twin across energy, manufacturing and mobility — a control asset, not documentation.
  • Industrial AI at the edge — real-time inference on ruggedised hardware, not in the cloud.
  • Closed-loop machine vision — inline optical inspection feeding automatic re-work and calibration.
  • Cognitive humanoids in collaborative cells — humans and robots share the same physical envelope by design.
  • Energy-aware production scheduling — batches shift with renewable availability.
  • Predictive maintenance as a horizontal service — a single anomaly-detection service across assets.
  • Smart mobility hub — the factory is a node of the wider electric mobility ecosystem, not an island.

Chapter 9

Sustainability & ESG.

9.1Environmental

Carbon-neutral factory operation is a design constraint. On-site PV, BESS and load shifting are engineered to minimise grid dependence and eliminate the need for offsetting as a primary strategy.

9.2Renewable & circular

Component reuse and end-of-life pathways for batteries are considered in the storage architecture. Where feasible, the platform prefers refurbishable modules over sealed appliances.

9.3Social

Automation is positioned as a productivity multiplier for skilled operators. The programme includes an implicit training track through proposed academic partnerships and Fraunhofer engagement.

9.4Governance

The consortium operates under a single technical steering group led by NeuNexus. Data governance, cybersecurity and audit trails are aligned with European corporate standards.

Chapter 10

Economic Impact.

  • Employment. Highly-skilled roles in automation, robotics, industrial AI, vision engineering and energy management.
  • Regional development. Positions Uetze and Lower Saxony as a Smart Factory reference site.
  • Industrial competitiveness. Reduces exposure to energy volatility and lifts productivity through autonomous cells.
  • Innovation ecosystem. Connects industrial partners with Fraunhofer-class applied research.
  • Technology attraction. Creates a European anchor site where partners, universities and OEMs converge.
  • International investment. Positions Germany as a natural landing point for capital seeking European industrial exposure.

Chapter 11

Growth Roadmap.

  1. Phase 1 · Planning
    Strategic definition, consortium formation, blueprint
    Active
  2. Phase 2 · Engineering
    Detailed design, partner formalisation, pilot scoping
    Next
  3. Phase 3 · Construction
    Civil works, energy plant, factory shell, network fabric
    Planned
  4. Phase 4 · Commissioning
    Digital twin activation, edge deployment, cell start-up
    Planned
  5. Phase 5 · Industrial operation
    Full-rate autonomous operation of the demonstrator
    Planned
  6. Phase 6 · European expansion
    Replication of the model across additional sites
    Vision
Table 11.1 — Six-phase implementation plan

Chapter 12

Investment Perspective.

12.1Business value

A defensible operating model that combines self-generated energy, autonomous production and closed-loop quality — three cost centres that compound favourably at scale.

12.2Scalability

The architecture is modular. Additional sites can adopt the same reference stack with adjusted capacities.

12.3Strategic advantages

European origin, German industrial gravity, alignment with EU industrial policy and access to Fraunhofer-class research.

12.4Technology leadership

Convergence of digital twin, edge AI, vision and humanoid robotics inside a single operational plane is uncommon at demonstrator scale in Europe.

12.5Long-term opportunities

Platform-as-a-service licensing of the reference stack to European SMEs; extension into adjacent industrial verticals.

12.6Risks & mitigation

  • Partner formalisation risk. Multiple layers depend on proposed collaborations. Mitigation: staged engagement with clear go/no-go milestones.
  • Integration risk. A layered platform requires disciplined interface control. Mitigation: single integrator (NeuNexus) with contractual authority over the reference architecture.
  • Energy volatility. Mitigation: BESS sizing and load-shifting policy embedded in the EMS.
  • Regulatory drift. Mitigation: proactive alignment with EU industrial and ESG frameworks throughout Phase 2.

Chapter 13

Executive Conclusions.

NeuNexus positions itself as a European industrial platform that converges renewable energy, digital intelligence and autonomous manufacturing into a single operating model. The programme is anchored in Uetze, orchestrated by NeuNexus, and delivered through a consortium combining active renewable partners with proposed collaborations across digitalisation, edge, vision, robotics and applied research.

Why it matters

A credible European response to energy volatility, labour scarcity and industrial competitiveness requires convergence — not more point solutions. NeuNexus is designed to deliver that convergence, at demonstrator scale, in a location and with a partner ecosystem that make it a plausible European reference.

  • European competitiveness. A replicable model rather than a single-site experiment.
  • Innovation. Convergence, not accumulation, of technologies.
  • Industrial resilience. Energy-aware, digitally twinned, and human-centric by design.
  • Future scalability. A reference stack designed for multi-site replication.

Technical Annex

Annexes.

The annexes below consolidate the technical material available at the time of writing. Where a partner is engaged under a proposed collaboration, information is drawn strictly from publicly available sources; nothing is presented as an established commitment.

Annex ASiemens (proposed)

  • Digital Twin platforms — Siemens Xcelerator.
  • Industrial automation and Smart Infrastructure.
  • Industrial software stack across MES, PLM and simulation.

Annex BVCOW (proposed)

  • Ruggedised industrial PCs and edge nodes.
  • AI compute infrastructure for factory-floor workloads.
  • Real-time inference and Digital Twin execution close to the process.

Annex CDFOPTIX (proposed)

  • Precision machine vision and optical inspection systems.
  • Sensor calibration and industrial metrology.
  • Closed-loop quality-assurance for autonomous cells.

Annex DNEURA Robotics (proposed)

  • Cognitive robotics and humanoid robot platforms.
  • Human-robot collaboration for autonomous manufacturing.
  • Structured pilot within the Smart Factory Uetze demonstrator.

Annex EEnergy architecture (active)

  • Bluesun Solar — N-Type TOPCon PV modules, hybrid inverters, full-kit residential/C&I supply.
  • Wattzing — LFP-based BESS 5 kWh → 500 kWh, hybrid inverters, CE-certified.
  • BENY New Energy — EV charging systems, DC protection, 100 kW / 241 kWh air-cooled C&I BESS, CE-EMC / CE-LVD / TÜV certifications.

Annex FSmart Factory architecture

See Chapter 5 (Reference Architecture) and Chapter 6 (Workflow). Layered stack from Physical through Manufacturing, with a single digital twin as the cross-layer operational asset.

Annex GESG framework

Design constraints: carbon-neutral operation, refurbishable storage, human-centric automation, European governance and audit standards. See Chapter 9.

Annex HTechnical specifications

Detailed catalogues, datasheets and certifications for the active energy partners are indexed in the NeuNexus Operations Center under each supplier profile.


Glossary

Glossary & Acronyms.

TermDefinition
BESSBattery Energy Storage System
C&ICommercial & Industrial
Digital TwinSimulated representation of a physical asset used for planning, operation and optimisation
Edge computingCompute infrastructure hosted next to the process rather than in a remote data centre
EMSEnergy Management System
Industry 4.0Programme centred on cyber-physical systems, IoT and industrial digitalisation
Industry 5.0Extension of 4.0 emphasising human-centric, resilient and sustainable manufacturing
LFPLithium Iron Phosphate battery chemistry
MESManufacturing Execution System
OEEOverall Equipment Effectiveness
OPC-UAOpen Platform Communications — Unified Architecture (industrial interoperability standard)
PVPhotovoltaic
RACIResponsible · Accountable · Consulted · Informed responsibility matrix
SCADASupervisory Control and Data Acquisition
TSNTime-Sensitive Networking
TÜVTechnischer Überwachungsverein — German technical inspection association

End of report · NeuNexus · Uetze · Lower Saxony · Germany · 2026