The 3rd Open call will select third party Collaborative Projects aimed at using the dAIEDGE Virtual Lab to solve specific industrial challenges defined by the project.
This call will be open to legal entities (Research and Technology Organisations, Academia or SMEs, including Startups) applying individually or as a consortium of up to 2 entities.
Andres Gonzalez
Country: Germany
Challenge/Hosting Institution: 4
Company: Next Prototypes e.V.
BRAINS
Enabling energy-efficient humanoid locomotion through Bayesian inference on embedded edge systems.
Despina Elisabeth Filippidou
Country: Greece
Challenge/Hosting Institution: 9
Company: DOTSOFT OLOKLIROMENES LISEIS TECHNOLOGIAS PLIROFORIKIS ANONIMI ETAIREIA
DARIUS
A federated edge-AI framework that leverages multi-city data to run “what-if” sensor-expansion scenarios, predicting impacts on urban comfort, traffic efficiency, and emissions.
Eva Zupančič
Country: Slovenia
Challenge/Hosting Institution: 1
Company: Sunesis d.o.o.
EDGEWISE
AI-native, context-aware and dynamic orchestration system for deploying and balancing trustworthy and energy-efficient federated learning across the entire IoT–Edge–Fog–Cloud continuum
Bohdana Savchuk
Country: Ukraine
Challenge/Hosting Institution: 8
Company: Limited Liability Company "Bezryma Group"
OMPF-EDGE
Edge AI for real-time, privacy-first workout & rehabilitation movement monitoring to prevent injuries and improve health through personalized insights.
Daniel Gutierrez
Country: Spain
Challenge/Hosting Institution: 11
Company: Intigia S.L.
PYNQ-OPT
SWaP optimized AI models for complex tasks
Mohamad Hasan Bahari
Country: Belgium
Challenge/Hosting Institution: 3
Company: Sensifai BV
Q-WiSE
Energy-efficient, quantized deep Wiener-filter AI for real-time speech enhancement on ultra-low-power edge devices.
Panagiotis Roditis
Country: Greece
Challenge/Hosting Institution: 12
Company: SYPHOS LP
SPARTA
Image classification with fully sparsified Vision Transformers by combining unstructured pruning, sparsity-enhancing architectural adaptations and specialized sparse-aware FPGA configurations
Iratxe Perales
Country: Spain
Challenge/Hosting Institution: 13
Company: Microfy Systems SL and NEIKER
SporeAI
Using microscopy and computer vision to redefine agriculture
Konstantinos Tsintotas
Country: Greece
Challenge/Hosting Institution: 4
Company: International Hellenic University
SPOT-LIFT — GPU-Optimised Bayesian Grasping on Boston Dynamics Spot for Civil Protection
Clear post-storm sidewalks by performing safe, real-time pick/turn and lift-place of debris (≤6 kg) using GRASP-NET + a Bayesian re-grasp loop on Spot’s onboard GPU, with all perception and decisions
Panagiotis Kasnesis
Country: Greece
Challenge/Hosting Institution: 5
Company: Waldiez
SYNAPSE
SYNergistic LLM and Active inference Policy-aware agents for the Spatial wEb
