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EU Funding Matches
Qualified AI matched your project to 5 open calls. Top match: 94% compatibility.
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HORIZON-CL4-2024-DIGITAL-EMERGING-01-14 — AI & Robotics in Manufacturing
94% match
Horizon Europe
● Open
Due 15 Apr 2026
€2–4M per project
Supports the development of AI and robotics solutions for smart manufacturing, focusing on cluster collaboration between SMEs and research institutions across EU member states.
HORIZON-CL4-2024-RESILIENCE-01-07 — Digital Twins for Supply Chain Resilience
87% match
Horizon Europe
● Open
Due 22 May 2026
€1.5–3M per project
Funding for digital twin technologies that improve supply chain visibility and resilience, with emphasis on manufacturing sector applications and cross-border collaboration.
EIC-ACC-2024-Q2 — Breakthrough AI Solutions for Industrial Automation
79% match
EIC Accelerator
● Open
Due 10 Jun 2026
Up to €2.5M grant + equity
EIC Accelerator support for high-risk, high-reward AI innovations targeting industrial automation and logistics. Single-company applications eligible.
HORIZON-CL4-2024-TWIN-01-03 — Industrial IoT Platforms for Smart Factories
74% match
Horizon Europe
● Open
Due 18 Jul 2026
€3–5M per project
Funding for IoT platform development enabling real-time factory monitoring, predictive maintenance, and seamless integration across manufacturing value chains.
INTERREG-NWE-2024-P4-GREEN — Green Logistics Innovation in NW Europe
68% match
Interreg NWE
● Open
Due 30 Aug 2026
€500K–1.5M per project
Cross-border collaboration fund for sustainable logistics solutions in Northwestern Europe. Strong focus on CO₂ reduction and modal shift in manufacturing supply chains.
AI-Generated Concept Note
Qualified AI generated this concept note based on your project idea and selected EU call. Edit any section inline.
Generated from: HORIZON-CL4-2024-DIGITAL-EMERGING-01-14 · AI & Robotics in Manufacturing
LogiSync: AI-Powered Logistics Platform for Manufacturing OrganisationsAI-refined title
Concept Note — Horizon Europe CL4 · Draft v1 · 13 March 2026
Project Summary
This project will develop and deploy an AI-driven logistics optimisation platform for Dutch-Belgian manufacturing organisations. Leveraging machine learning, IoT sensor networks, and real-time data analytics, the platform will reduce supply chain inefficiencies, lower carbon emissions, and improve throughput for SMEs across the NL/BE manufacturing ecosystem. The solution integrates with existing ERP systems and provides predictive analytics for demand forecasting, route optimisation, and warehouse automation.
Objectives
- Develop a modular AI/ML platform for real-time logistics optimisation, adaptable to heterogeneous manufacturing organisation environments across NL, BE, and DE
- Deploy IoT sensor networks in 3 pilot manufacturing sites to generate training data and validate predictive models under real-world conditions
- Reduce logistics costs by 30% and CO₂ emissions by 25% across participating manufacturing organisations, benefiting 200+ SMEs by project end
Work Packages
WP1 — Data Infrastructure
IoT sensor deployment, data pipeline architecture, cloud integration, GDPR-compliant data governance framework
WP2 — AI Model Development
ML model design, training on cluster logistics data, route optimisation algorithms, demand forecasting engine
WP3 — Pilot & Validation
3-site pilot deployment, KPI measurement, impact assessment, scale-up roadmap for cluster-wide rollout
Expected Outcomes
A scalable, open-source AI logistics platform validated in real manufacturing organisation environments. The project will produce 3 peer-reviewed publications, 2 patent applications, and a replication toolkit enabling rapid adoption across 15+ European manufacturing organisations. Direct impact: 200+ SMEs with improved logistics efficiency, 25% CO₂ reduction, and €4.2M estimated annual cost savings across the ecosystem.
Budget Estimate
€2,400,000
Total project budget · 36 months · 3 consortium partners
Personnel costs: €1,440,000 (60%)
Equipment & IoT: €480,000 (20%)
Subcontracting: €240,000 (10%)
Indirect costs: €240,000 (10%)
Partner Matching
Qualified AI identified 5 compatible organisations from your manufacturing ecosystem. Assign them to work packages.
WP1: 1 partner
WP2: 0 partners
WP3: 1 partner
Filters
Community
Expertise
Country
DT
DataTech NL B.V.
AI platform specialist with deep expertise in industrial data pipelines and ML model deployment for manufacturing SMEs.
EU
Eindhoven University of Technology
R&D partner with robotics and autonomous systems lab, 15+ EU project track record, strong industry connections.
IS
IoTSense Belgium
Industrial IoT hardware and sensor network provider, certified for EU-funded deployments in BE and DE manufacturing environments.
LX
LogiX Solutions GmbH
Supply chain software integrator with 20+ years in automotive and food manufacturing sectors. ERP integration specialists.
CI
Cluster Innovation vzw
Belgian cluster organisation managing 180+ manufacturing members. Expert in consortium coordination, dissemination, and stakeholder engagement.
DT
DataTech NL B.V.
Eindhoven, Netherlands
Overview
AI platform specialist founded in 2017. 45 employees. Specialises in industrial AI/ML deployment for manufacturing SMEs, with proven integrations across 30+ factory environments in NL and DE.
Technology Tags
Relevant Past Projects
SmartFactory NL 2022–2024
ML4Logistics Pilot 2021–2023
Brainport AI Initiative 2020
Suggested Assignment
WP1 — Data Infrastructure
WP2 — AI Model Dev
Project Summary & Proposal
Review your consortium and start writing the full EU project proposal.
AI-Driven Logistics Optimisation for Manufacturing Organisations
HORIZON-CL4-2024-DIGITAL-EMERGING-01-14 — AI & Robotics in Manufacturing
€2,400,000
Total budget · 36 months
Consortium Partners
DT
DataTech NL B.V.
Lead Partner
WP1 · WP2
IS
IoTSense Belgium
Technical Partner
WP1 · WP3
CI
Cluster Innovation vzw
Coordinator / Dissemination
WP3
Concept Note Summary
▼
Project Summary: AI-driven logistics optimisation platform for Dutch-Belgian manufacturing organisations. ML, IoT sensors, and real-time analytics to reduce supply chain inefficiencies and lower CO₂ emissions.
Objectives: Modular AI/ML platform · IoT pilot in 3 sites · 30% cost reduction · 25% CO₂ reduction · 200+ SMEs impacted.
Work Packages: WP1 Data Infrastructure · WP2 AI Model Development · WP3 Pilot & Validation
Budget: €2,400,000 across 36 months
Objectives: Modular AI/ML platform · IoT pilot in 3 sites · 30% cost reduction · 25% CO₂ reduction · 200+ SMEs impacted.
Work Packages: WP1 Data Infrastructure · WP2 AI Model Development · WP3 Pilot & Validation
Budget: €2,400,000 across 36 months
Partner Commitment Tracker
| Organisation | Role | Status | Confirmed Date |
|---|---|---|---|
| DataTech NL B.V. | Lead Partner | ✓ Confirmed | 10 Mar 2026 |
| IoTSense Belgium | Technical Partner | ✓ Confirmed | 11 Mar 2026 |
| Cluster Innovation vzw | Coordinator | ⏳ Pending | — |
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