Open Call #1 Winners

 

Check out the five companies and their innovative projects that have been selected in our first Open Call.

 

 

 

 

Multiverse Computing

Multiverse Computing

 

The company

Multiverse Computing is a global leader in AI model compression and quantum software. Through its flagship platform, CompactifAI, it delivers ultra-efficient compressed AI models that dramatically reduce computational costs and energy use. By applying advanced tensor network techniques, CompactifAI enables seamless deployment of fundamental AI systems including large language models (LLMs), without sacrificing performance. The result is a breakthrough in how organizations scale and operationalize Artificial Intelligence.

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Their project PolarQI

PolarQI focuses on the functionality F1.5 “Innovative approaches and architectures for improved defect detection and classification” of the MAGICIAN call.

 

 

 

 

 

 

Ada_güzey_logo

Ada Guzey Engineering

 

The company 

Ada Guzey Engineering Software Mechatronics Ltd. is a tech-zone SME based in Sivas, Türkiye, specialising in robotics hardware, embedded software, AI perception, and advanced/adaptive control. Led by Assoc. Prof. H. Mehmet Güzey, the team designs end-effectors, vision-driven automation, and real-time control for demanding industrial environments. The company has successfully delivered EU-funded projects including UATMDEV (droneport systems), HybridCAVs (connected autonomous vehicle platooning), and RTwin-CAV (real-time road digital twin).

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Their project ARRAS

The Adaptive Robotic Rework System for Automotive Defects (ARRAS) project will enhance the MAGICIAN platform by integrating the functionalities: F1.3 “Rework toolset” and F1.5 “AI-driven defect classification”. It will develop a robotic dent repair toolset and an AI defect detection module using transformer-based models trained on polarized camera data. By combining advanced sensors and AI with an adaptive robotic rework cell, ARRAS will allow the system to identify surface defects and autonomously perform corrective actions in real-time

 

 

 

 

 

 

Lider Teknoloji Geliştirme

lider technology_logo

 

The company

Lider Teknoloji Geliştirme (LTG), established in 2005, is a technology company with expertise in software and hardware development, simulation technologies, IoT, embedded systems, and XR training solutions. Located in Türkiye’s Eskişehir Technology Development Zone, LTG designs and delivers practical digital transformation tools for industry, education and training, aviation, and energy. Its work emphasizes human–robot collaboration, immersive learning platforms, and reliable technology integration to support efficiency, safety, and innovation across different sectors.

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Their project HARMONY

The HARMONY project proposes an AR interface for visualising robot activity and production context in real time, addressing functionality F2.2 “Human Interface and Interaction”. Developed in Unity and deployed on the Magic Leap 2 headset, the interface enables operators to access structured data from Sensing (SR) and Cleaning (CR) robots, including defect positions, applied forces, task sequences, and durations. Content from the MAGICIAN tablet GUI is adapted into AR with roadmap-based visualisations.
 
 

 

 

 

 

 

 

Yonga Technology Microelectronics

 

The company

Yongatek Microelectronics develops their own IPs and SoCs/chips in the fields of AI, 5G and IoT. They provide products and services as a ‘FPGA/ASIC Design and Verification House’ for major global players. Their offerings span across a diverse spectrum, encompassing IC/ASIC/SoC/FPGA/Chip Design, 5G/6G and Satellite Communications, AI-Based Video Processing, IoT and Automation, Quality Control Systems for Industry 4.0, and Defence sectors. This wide array of services is powered by an accomplished and skilled R&D team. They are currently focusing on five core areas.

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Their project NEODES

Their project NEODES is an AI-driven application solution created by Yongatek Microelectronics to tackle significant issues in industrial defect detection via the integration of multi-modal data, synthetic datasets, and real-time machine learning algorithms. The project focuses on two primary MAGICIAN functions: F1.4 “Annotation Tools for Multi-Modal Data” and F1.5 “Innovative Approaches for Enhanced Defect Detection”.

 

 

 

 

 

 

Introsys

Introsys_Logotipo_P_B_Positivo-01V2

 

The company

INTROSYS is a Portuguese company specialized in industrial automation, robotics, and machine vision solutions, with over 20 years of experience in the automotive and manufacturing sectors. The company develops and integrates advanced technologies that help manufacturers increase efficiency, enhance quality control, and foster sustainable production. With a proven track record in international integration projects and a strong commitment to innovation and R&D, INTROSYS delivers solutions that address today’s industrial challenges and support the transition towards a smarter and more sustainable manufacturing.

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Their project AMMSAS

AMMSAS aims to contribute to the MAGICIAN project F1.1 “Accurate defect detection and classification” and F1.5 “Improved defect detection and classification”.

The main goal is to develop new sensing methodologies for defect detection and classification, aligning with MAGICIAN’s vision for a modular, intelligent robotic solution for manufacturing. The system proposes a sequential processing pipeline for enhanced detection, using structured light projection, FFT-based signal processing to isolate defect patterns, and visual saliency algorithms. For improved classification, it employs a hierarchical approach integrating attention-guided region processing, frequency-domain feature integration, and prototype-based few-shot learning.