Within the second and final round of the KIEM HighTech 2025 grant program, 24 research projects will soon be launched, involving many SMEs. The research projects address technologically driven innovation challenges from a practical perspective. These challenges include improving X-ray spectra analysis with quantum machine learning, AI-driven image analysis for industrial processes, sensor and imaging technology for root development, developing porous silicon anodes to enhance battery performance, developing a demonstration model for a photonic quantum computer, and a method for selectively removing components from discarded printed circuit boards. Researchers from knowledge institutions are tackling these 24 challenges.
The KIEM HighTech scheme will also be available in 2026, with two application rounds. More information about this scheme will follow at the end of January 2026. Initial information is already available.
Avans Hogeschool
- FungAI: Optimizing Fungal Cultures and Mycelium Bio-composites Production Through AI Monitoring
Eindhoven University of Technology (TU/E)
- AUToMUT: Advanced Ultrasound Tomography with Micromachined Ultrasound Transducers
Fontys Hogeschool
- 3D root analysis
- EntoEye – AI-gestuurde drone voor monitoring in insectenkwekerijen
De Haagse Hogeschool
- GeoPointTransformer - Simultaneous segmentation and geometry extraction from Mobile-Mapping Point Clouds
HAN University of Applied Sciences
- SECURE.AI - Super EcoCombi Urban Route Evaluation with AI
Hanzehogeschool Groningen
- AI-gedreven detectie van wadi’s in stedelijke gebieden in Nederland
Hogeschool Rotterdam
- Recovering E-materials – Securing OUtput of Recycled and Circular Electronics (RE-SOURCE)
- DARE - Decentrale AI-agents voor Responsible Energie-optimalisatie
Hogeschool Utrecht
- Smart Sportswear for Preventing Injury in Female Athletes
- Samen in de Lift: Begrijpelijke robotintenties en mensgerichte interactie in ziekenhuisomgevingen
Hogeschool van Amsterdam
- Project Orbital
- BranchOut SYS
NHL Stenden Hogeschool
- FixPoint: AI-gedreven positionering van margemetingen tijdens borstkankerchirurgie
- PuProPhy - Pulse-Propelled Physiology
- Slim zien, slim reinigen: AI voor slimme vuilherkenning
Saxion
- Organische redoxflowbatterijen in de industriële chemische productie: een haalbaarheidsstudie voor lokale energieopslag
- EPiQuR: Exploring Practical Integrated-Photonic Quantum Computing at Room Temperature
- BUSCAN
- FOOT - Foam Orthotics Optimized through Technology
TU Delft
- Contactless radar-based support in psychiatry practices
University of Twente
- Enhancing Lithium-Ion Battery Performance: Microscale Simulation of Silicon Anode Behaviour
- Multimodal AI for Context-Aware Defect Generation in Quality Inspection
Universiteit van Amsterdam
- SPADcam VMI of Chiral Biomarkers by MS-PECD
KIEM HighTech 2025
The aim of KIEM HighTech is to (exploratively) investigate new practical questions through practice-oriented research activities. These research activities are carried out by a network of knowledge institutions and practice partners (companies). With this scheme, the SIA organization encourages both network formation and the exploration of practical questions that could be a seed for a follow-up project or a technological innovation.
