AUTOTWIN KERs
The AUTO-TWIN Project identified and validated a set of Key Exploitable Results throughout its lifetime to capture its main scientific, technological, and innovation outcomes. These KERs provide a structured overview of the project’s value and its potential for post-project exploitation.
KERs are categorized into Research KERs and Industrial KERs according to their primary exploitation pathways.
Research KERs comprise conceptual, methodological, and enabling results developed and validated in the project pilots. They establish a scientific and technical foundation for future research and innovation activities, supporting further development through follow-up Horizon Europe projects, academic–industrial collaborations, and standardization or benchmarking efforts within the digital twin community.
Industrial KERs include results validated in industrial pilot environments that demonstrate clear potential for commercialization. These outcomes may evolve into market-ready products, services, or licensable assets, either individually or through integration with complementary project results. Their exploitation focuses on real-world applicability, scalability, and economic impact in industrial contexts.
KER1: Automatically Generated and Autonomous Digital Twins
The Process Mining Service provides generic system discovery algorithms that automatically create, update, and manage graph models, Petri nets, and automata within the system knowledge graph, and includes process mining algorithms for validating and adapting models of asset behavior.
The SKG Manager and Orchestrator support semantic knowledge graph management and orchestrate the workflow of the digital twin.
The DDD Simulator and KG2DES Transformer enable the generation of general-purpose discrete-event simulation models from graph data, simulating entity creation, process routing, buffering, dispatching, and entity composition/decomposition.
Provides the automata-based conformance checking used to validate and adapt models of the Process Mining Service (PMI). These algorithms compare recorded execution data with system models to detect deviations and support model updates. In addition, CORE develops a Bayesian simulation–optimization framework for automatic calibration of the digital twin. This framework automatically calibrates simulation models, aligning simulated behavior with observed operational data.
A) Research: PMI will be the exploitation lead partner for further research in other research Projects because the KER’s scientific core and future R&D potential are rooted in PMI-owned technologies and expertise. There is a clear plan to follow up with research projects focusing on the evolution of automated digital twin learning in manufacturing (potential project proposals involves a) PMI, TUE, TTS and b) PMI, TUE, and CORE.
B) Commercial: TTS leads commercial exploitation because the KER’s industrial value lies in the architecture and system design, which TTS can transform into market-oriented services and solutions. Commercial exploitation lies primarily in its architectural framework, rather than the concrete software implementation. While the current platform prototype demonstrates the concept, its complexity and partial integration limit immediate market deployment as a commercial software product. However, the simulation architecture and data-processing pipeline developed within the project, comprising stages such as data extraction, semantic knowledge management (via the SKG Manager), and automated process generation, form a coherent and innovative architectural blueprint.
Strongest value can be found in discrete manufacturing and logistics, where its event-driven simulation, semantic modelling, and automated twin-generation capabilities perform best. Key sectors include manufacturing SMEs, automotive (remanufacturing, battery reuse, component tracking), electronics (refurbishment and recycling), machinery and white goods (e.g., appliance remanufacturing and modular design evaluation). A secondary target market could be consulting firms and system integrators that specialise in providing advisory services and implementing digital solutions for businesses across various industries.
KER2: Circular Data Space
- Integration of IoT and contextual data through the EDM and Kharon modules.
- Data sovereignty enforcement through policy-based access control.
- Trust and traceability using blockchain validation.
- Real-time connectivity across partners and systems.
SYXIS contributes with a commercial data management and IoT integration platform fully owned and maintained by SYXIS. They also develop the EDM (Ecosystem Data Manager): an open-source component that manages data collection and harmonization across sources.
INNOVALIA developed the IDS Connector, a secure data-exchange interface that ensures IDS-compliant communication between actors.
Circular Data Space will primarily be exploited through integration into new research projects, expanding its functionality and increasing its visibility. SYXIS, as the lead Exploitation partner, will be responsible for post-project exploitation efforts.
KER3: Circular Digital Thread
UBI developed two key components: a Blockchain Network based on Linux Foundation open-source technologies and a Context Broker enabling data sharing and smart-contract-based traceability. While the core is open source, UBI owns the project-specific modifications and proprietary developments.
Exploitation Route: UBI focuses on knowledge transfer to new R&D initiatives and the transformation of project results into a market-ready, customizable traceability service for data integrity and compliance.
Target Market: Primary value is found in supply chain and logistics, manufacturing, healthcare, and auditing organizations requiring high transparency and auditable records.
KER4: Digital Product Passport
- Fully automated, real-time lifecycle monitoring, minimizing manual data entry and errors.
- Blockchain-based trust layer (Twin-Chain) ensuring data immutability and transparency.
- Integrated Life Cycle Assessment (LCA) capabilities, supporting data-driven sustainability decisions.
- Seamless interoperability with other AUTO-TWIN components (KER1, KER2, KER3, etc.).
- Pilot validation in high-impact sectors (energy storage, healthcare).
- EU regulatory alignment, providing a future-ready solution for the Digital Product Passport framework under the EU Circular Economy Action Plan.
SYXIS is responsible for the Kharon data management system, which integrates IoT and product lifecycle data. They also provide EDM (Ecosystem Data Manager), an open-source component responsible for harmonizing static and dynamic product data.
UBI provides key technical components, notably Twin-Chain (the blockchain trust layer), and ensures seamless integration with the Ecosystem Data Manager (EDM).
At present, the solution is focused on further research in future EU-funded projects to scale the technology and align with emerging regulatory frameworks. SYXIS and UBI are co-owners for the post-project exploitation efforts toward advanced R&D. Commercialization and licensing remain future objectives as the technology reaches higher maturity levels.
KER5: Situation-Aware eXplainability for Business Process Management (SAX4BPM) Library
IBM developed the SAX4BPM Library as an individual result. It provides a generic framework for situation-aware explainability in business process management (BPM), comprising two core components: the SAX enabler and SAX realization.
Since the library has already been released as open source, post‑project exploitation focuses on increasing adoption and growing a sustainable community. Key strategies include:
- Integration into new university courses.
- Organization of workshops, tutorials, and webinars for hands‑on training.
- Utilizing the library as a foundation for new research projects.
KER6: Reducing Skills & Knowledge Gap and Empowering Humans through AI
ERQ provides the core design and conceptual framework for the Worker & Production Profiler tools, which serve as the primary components of this human-centric AI solution.
SYXIS (SYX) is responsible for the technical development and implementation of the Worker & Production Profiler tools, translating the design into functional assessment software.
Exploitation Route: A dual approach focusing on further R&D to improve technical maturity and commercialization efforts, given the solution has already reached TRL-7.
Target Market: Primary focus on Manufacturing Companies and SMEs for workforce upskilling. Secondary focus on Consulting Firms and System Integrators acting as intermediaries for technology adoption.
KER7: Digital Services for Operation of Green Gateways
- Translates Digital Twin state estimates and KPI predictions into actionable recommendations.
- Ranks alternatives and identifies optimal operational plans, even under uncertainty.
- Provides conformance assessments to highlight deviations from expected workflows.
- Identifies potential inefficiencies and risks to support reliable operational decision-making.
PMI owns the Optimizer, which includes the core optimization algorithms and software modules. They also developed the decision-support models and algorithms jointly with KOC.
CORE develops and owns EcoSync, a specialized software module that provides conformance checking and rule-based evaluation for the platform.
The strategy focuses on continued development and validation through further research collaborations and contract research activities. PMI serves as the lead exploitation partner, guiding joint efforts to refine the solution in collaboration with industrial stakeholders and future research initiatives.
KER8: Ecosync
CORE Innovation Centre (CORE IC) is the sole developer and owner of EcoSync. The proprietary IP includes the conformance-checking software, rule-evaluation and violation-ranking logic, and the knowledge-graph reasoning and analytics modules.
Exploitation Route: Focused on commercial deployment as a SaaS product for industrial clients. Additional routes include licensing the framework to third-party developers for integration into existing digital portfolios.
Target Market: Primary focus on Process and Manufacturing industries (pharmaceuticals, electronics, food processing). Secondary markets include Insurance/Quality-Assurance providers and Industrial Service companies focused on predictive maintenance.