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Test Before Invest Services
SIRI – Digital Maturity Assessment and Roadmap
Assesses the Industry 4.0 maturity of a manufacturing facility using the SIRI framework and provides outputs on the current state and prioritization. The assessment results in an actionable digital transformation roadmap identifying the areas with the highest value-creation potential.
DDX - Digital Transformation Maturity Assessment and Roadmap
An expert team assesses the company’s digital transformation maturity on a 0–4 scale through on-site interviews and observations. A company-specific report structures the organization’s strengths, areas for improvement, and recommended actions.
Digital Business Model Consulting
Analyzes the impact of digital technologies on the business model and supports the company in redesigning its existing model. Through training, current-state analysis, a new value proposition workshop, and reporting, the service delivers tangible business model outputs.
Automation Feasibility Analysis – AFA
Assesses the technical and economic automation potential of manual and repetitive processes. It develops an action plan that includes a prioritized portfolio of automation projects, concept proposals, and a payback perspective.
Artificial Intelligence Maturity Assessment and Roadmap
Provides a holistic assessment of existing or planned AI systems across strategy, organization, data, technology, analytical models, operations, ethics, and governance. It delivers improvement recommendations that help companies mitigate risks and strengthen compliance.
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COSIRI Sustainability Maturity Assessment and Roadmap
Measures sustainability capabilities in manufacturing across COSIRI building blocks and dimensions, providing a benchmark-based view of maturity. By identifying priority focus areas, it delivers a step-by-step, actionable transformation roadmap and an official assessment report.
Walk-through Energy Audit – WTEA
Uses an on-site gemba walk to observe key energy consumption points and identify energy-efficiency opportunities. It delivers implementation-oriented outputs by creating a project portfolio that includes feasibility assessments, a prioritization matrix, and CO2 impact.
Sustainability Self-Assessment
Assesses the organization’s sustainability maturity by collecting online data across environmental, social, and governance (ESG) dimensions. Based on the report findings, mentoring support helps clarify priority areas for improvement.
Green Transformation Maturity Analysis
Assesses the company’s green transformation status through on-site observation and data collection using a gap-analysis approach. It identifies improvement areas by benchmarking water, energy, and raw material consumption on a cost basis per unit of product.
Energy Efficiency Audit Plan
Analyzes the facility’s energy intensity and identifies efficiency opportunities across processes, buildings, and electrical infrastructure. It provides measurable outputs for recommended projects, including investment requirements, savings, payback periods, and CO2 reduction potential.
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MEXT Digital Factory as an Industrial Testbed
Provides companies with the opportunity to test AI and IIoT solutions under near-real operating conditions using physical and virtual production lines. Its hardware, robotics, IoT, and GPU infrastructure accelerates pilot applications and reduces investment risk.
High-Performance Computing (HPC) Infrastructure – UHEM
Provides access to HPC and storage resources for compute-intensive activities such as AI, simulation, and big data. It supports SMEs with scalability testing and training/guidance as they progress toward larger EuroHPC systems.
Digital Twin Development
Develops high-fidelity digital twin models for production lines, processes, or devices and enables scenario testing. Using HIL/SIL approaches, it validates control algorithms, makes bottlenecks visible, and targets efficiency improvements.
Testing and Validation Services
Validates product and system designs through HIL testing that simulates real-world use scenarios. The service aims to identify performance and reliability issues before production while reducing development time and cost.
Prototyping Services as a Testbed for Digitalization and AI Projects
Provides rapid and precise physical prototyping using equipment such as 3D scanning/printing, CNC, laser, waterjet, and thermoforming systems. It accelerates companies’ design validation, iteration, and cost-effective testing processes.
User Experience (UX) Laboratory as a Testbed for Digitalization and AI Projects
Measures the cognitive and behavioral impact of products on users through EEG, eye-tracking, and biometric sensors. By grounding human-centered design decisions in data, it reduces product development risk.
Software Test and Quality Evaluation Laboratory
Provides performance, automation, usability, and compatibility testing through a cloud-based Testing-as-a-Service approach. It verifies software compliance with standards and strengthens pre-production quality assurance.
Cloud Computing and Big Data Research Laboratory (B3LAB) as a Testbed for Digitalization and AI Projects
Provides consulting and testing environments for cloud computing and big data solutions and supports application development through open-source approaches. It helps SMEs establish scalable architectures for digitalization and AI projects.
Technical Consulting Services
Provides end-to-end consulting in areas such as lean transformation, data governance, IT system selection, and supplier management, using SIRI/COSIRI roadmaps as key inputs. The objective is to establish the technical and organizational foundation required for the adoption of AI applications.
End-to-End AI Use Case Identification and Implementation
Identifies AI use cases through needs analysis, assesses their feasibility, tests the data, and implements solutions using agile methods. Taking the resource constraints of SMEs into account, the service aims to develop pilots that deliver value rapidly.
Artificial Intelligence and Digital Transformation Consulting
Provides a modular consulting process tailored to the company’s needs, including assessment, expert interviews, feasibility studies, and requirements analysis. Leveraging ITU’s academic expertise and infrastructure, the service defines a transformation roadmap and a practical solution scope.
AI Institute Technology Transfer and Commercialization Services
Provides commercialization support for developed solutions, including design validation, prototyping, IP management, and limited pilot production. It accelerates the processes through which public- and private-sector stakeholders develop local technologies and deploy them in the field.
Artificial Intelligence and Machine Learning Consulting
Provides expertise to help organizations develop models based on their own data and strengthen decision-support processes. It offers technical guidance and implementation support for integrating AI solutions into business workflows.
Computer Vision Consulting
Supports the design and development of quality control, inspection, and automation scenarios using image and video data. It analyzes existing processes, identifies improvement opportunities, and recommends a solution roadmap.
Robotics Consulting
Provides expert analysis and design support for developing robotics-based planning and automation scenarios. The objective is to create practical robotic solutions that improve operational efficiency.
Software Analytics Consulting
Aims to improve efficiency and quality in software development processes through data science-based analytics. It recommends methods and tools for assessing team performance, identifying process bottlenecks, and defining measurable improvement actions.
Decision-Making Consulting
Addresses complex operational challenges using approaches such as decision-making under uncertainty, reinforcement learning, and data-driven control. It provides modeling and algorithmic support to make organizational decision processes more accurate, faster, and more autonomous.
Natural Language Processing (NLP) Consulting
Provides expertise in automating text-based workflows through methods such as classification, automated response generation, and document processing. It helps organizations derive value from large volumes of textual data and accelerate their processes.
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