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.
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
§2Industrial challenge
§3Proposed solution
§4Expected impact
§5Consortium overview
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
1.2AI-driven manufacturing
1.3Autonomous robotics
1.4Smart energy
1.5Digital factory
1.6Carbon-neutral manufacturing
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.
| Pressure | Manifestation | Implication for NeuNexus |
|---|---|---|
| Energy transition | Volatile grid prices, mandatory decarbonisation targets | On-site renewable generation and BESS integrated with production scheduling |
| Labour shortages | Skilled operator gap, generational turnover | Automation and cognitive robotics as productivity multipliers, not replacements |
| Digital transformation | Fragmented data, legacy MES, siloed SCADA | Unified digital twin and edge-first architecture |
| Industrial competitiveness | Cost pressure vs. Asian volume, US IRA capital | Higher-value autonomous cells and premium quality via machine vision |
| Sustainability & ESG | Regulatory reporting, customer scope-3 demands | Carbon-neutral factory design and traceable ESG metrics |
| Manufacturing efficiency | OEE plateaus, batch inflexibility | AI-orchestrated production with continuous digital-twin feedback |
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
3.2Industrial automation & digital twin
3.3Edge computing & industrial AI
3.4Machine vision & metrology
3.5Cognitive robotics
3.6Logistics & mobility hub
3.7Applied research
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.
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.
| Layer | Function | Primary owner |
|---|---|---|
| Physical layer | PV modules, inverters, BESS, robots, machinery, vehicles | NeuGreen Energy (active) · NEURA (proposed) |
| Energy layer | Generation, storage, load management, energy metering | NeuGreen Energy |
| Industrial network | Deterministic fieldbus, OPC-UA, TSN Ethernet, wireless | Siemens (proposed) · NeuNexus |
| Edge computing | Ruggedised industrial PCs, real-time inference | VCOW (proposed) |
| Artificial intelligence | Predictive maintenance, energy optimisation, adaptive control | NeuNexus · Fraunhofer (proposed) |
| Machine vision | Optical inspection, metrology, calibration | DFOPTIX (proposed) |
| Robotics | Cognitive/humanoid robots, collaborative cells | NEURA Robotics (proposed) |
| Manufacturing | MES, production orchestration, digital twin runtime | Siemens (proposed) · NeuNexus |
| Quality control | Closed-loop QA via vision + AI + traceability | DFOPTIX + NeuNexus |
| Logistics & mobility | Internal logistics, EV charging, mobility hub | NeuGreen · BENY New Energy |
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.
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.
| Stage | Description | Enabling technology |
|---|---|---|
| 1. Solar energy | PV generation on-site | Bluesun N-Type TOPCon modules |
| 2. Battery storage | BESS buffers generation vs. demand | Wattzing · BENY C&I storage |
| 3. Energy management | Load shifting, peak shaving, grid interface | NeuGreen EMS |
| 4. Automation | PLC/SCADA control of process assets | Siemens (proposed) |
| 5. Industrial AI | Predictive control, optimisation, scheduling | VCOW compute (proposed) · NeuNexus |
| 6. Machine vision | Inline optical inspection and calibration | DFOPTIX (proposed) |
| 7. Humanoid robotics | Flexible cells, human-robot collaboration | NEURA Robotics (proposed) |
| 8. Production | Assembly, batch or continuous production | Consortium-wide |
| 9. Quality inspection | Closed-loop QA via vision + AI + traceability | DFOPTIX + NeuNexus |
| 10. Warehouse | Automated storage and internal logistics | NeuNexus (conceptual) |
| 11. Distribution | Electric last-mile mobility, EV charging | NeuGreen mobility + BENY |
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.
| Deliverable | NeuNexus | NeuGreen | Siemens* | VCOW* | DFOPTIX* | NEURA* | Fraunhofer* |
|---|---|---|---|---|---|---|---|
| Platform integration | A | C | C | C | C | C | I |
| Energy & storage layer | C | A | I | I | I | I | I |
| Automation & digital twin | A | C | R | C | I | C | C |
| Edge & industrial AI | A | I | C | R | C | C | C |
| Machine vision & metrology | A | I | C | C | R | C | C |
| Autonomous robotics | A | I | C | C | C | R | C |
| Applied research | C | I | I | I | C | C | R |
| Commercial go-to-market | A | R | I | I | I | I | I |
R = Responsible · A = Accountable · C = Consulted · I = Informed. Entries marked with * are contingent on the formalisation of the corresponding proposed collaboration.
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.
Sustainability & ESG.
9.1Environmental
9.2Renewable & circular
9.3Social
9.4Governance
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.
Growth Roadmap.
- ActivePhase 1 · PlanningStrategic definition, consortium formation, blueprint
- NextPhase 2 · EngineeringDetailed design, partner formalisation, pilot scoping
- PlannedPhase 3 · ConstructionCivil works, energy plant, factory shell, network fabric
- PlannedPhase 4 · CommissioningDigital twin activation, edge deployment, cell start-up
- PlannedPhase 5 · Industrial operationFull-rate autonomous operation of the demonstrator
- VisionPhase 6 · European expansionReplication of the model across additional sites
Investment Perspective.
12.1Business value
12.2Scalability
12.3Strategic advantages
12.4Technology leadership
12.5Long-term opportunities
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.
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.
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.
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 & Acronyms.
| Term | Definition |
|---|---|
| BESS | Battery Energy Storage System |
| C&I | Commercial & Industrial |
| Digital Twin | Simulated representation of a physical asset used for planning, operation and optimisation |
| Edge computing | Compute infrastructure hosted next to the process rather than in a remote data centre |
| EMS | Energy Management System |
| Industry 4.0 | Programme centred on cyber-physical systems, IoT and industrial digitalisation |
| Industry 5.0 | Extension of 4.0 emphasising human-centric, resilient and sustainable manufacturing |
| LFP | Lithium Iron Phosphate battery chemistry |
| MES | Manufacturing Execution System |
| OEE | Overall Equipment Effectiveness |
| OPC-UA | Open Platform Communications — Unified Architecture (industrial interoperability standard) |
| PV | Photovoltaic |
| RACI | Responsible · Accountable · Consulted · Informed responsibility matrix |
| SCADA | Supervisory Control and Data Acquisition |
| TSN | Time-Sensitive Networking |
| TÜV | Technischer Überwachungsverein — German technical inspection association |