Vision

Our main mission is to embed computer vision in production workflows.

Building on frontier academic research, we design bespoke on-device vision systems and ISO 23247-aligned interactive Digital Twins.

The tools we deliver are language-aware and vision-equipped. Speak to your assets in plain language, watch their virtual replica respond when twinned, and uncover answers that cut costs by up to 30%.

Predictive insight (knowing what will happen) and prescriptive guidance (knowing what to do about it) are built into every solution we deliver. 

Expertise

Edge AI

We put intelligence at the point of action.

Our systems run directly on your assets – production lines, mobile robots, inspection drones and fixed cameras – instead of depending on distant data centers.

This makes it possible to automate inspection, safety monitoring and quality assurance in real time across an entire facility, not just in a lab.

Our systems analyze video, temperature, vibration and other signals locally, trigger alerts in milliseconds and generate maintenance and safety recommendations on site. Processing on-premise protects sensitive data, reduces bandwidth and cloud costs, and keeps critical functions running even with limited connectivity. This makes it possible to automate inspection, safety monitoring and quality assurance in real time across an entire facility, not just in a lab.

Robust AI

We engineer AI that keeps working when the world is imperfect. In industry, cameras shake, lighting changes, equipment wears down and people move unpredictably.

Robustness – the ability of AI to maintain stable performance in unexpected conditions – is widely recognized as a foundation of trustworthy, production-grade AI for safety-critical operations.

We design models and monitoring layers that stay reliable under those shifts, surface anomalies early instead of hiding them, and provide an auditable trail of why a recommendation was made.
In practice, that means safer autonomy, fewer false alarms and easier compliance with safety and security expectations.

Embedded AI

We build visual perception directly into field equipment.

Cameras, depth sensors and lightweight AI modules sit inside drones, mobile inspectors and autonomous robots so they can understand their surroundings, navigate safely and document asset condition without constant operator control.

Our founders’ work in computer vision, autonomous robotics and human-machine interaction focuses on giving machines spatial awareness – who or what is in front of them, where it is in 3D and how it is moving – and then linking that awareness to interactive Digital Twins so operators can ask, in plain language, what is happening on a line, tank or pipeline.

Team

Vasileios Mygdalis

MANAGING DIRECTOR – CO-FOUNDER

Dr. Vasileios Mygdalisis a senior research associate specialized in Machine Learning. He received his Ph.D. in Computer Science from Aristotle University of Thessaloniki (2019) and has been awarded a Marie Sklodowska-Curie postdoctoral research fellow (MSCA-PF) at the Marketing Research Group, University of Antwerp. Vasileios has participated in 9 R&I collaborative projects funded by the European Union, executing research, integration, technical/financial management and administrative duties. He has (co-)authored more than 60 peer-reviewed papers in academic journals and international conferences. His research interests span machine learning, computer vision, Trustworthy AI, attention-based marketing and robotic perception. 

Ioannis Mademlis

DIRECTOR OF RESEARCH AND INNOVATION – CO-FOUNDER

Dr. Ioannis Mademlis is a computer scientist, specialized in machine learning and computer vision. He received a Ph.D. from the Aristotle University of Thessaloniki, Greece, in 2018. He was an adjunct lecturer of machine learning at the Athens University of Economics and Business, Greece, in 2022-23. Currently, he is an adjunct professor of computer vision at the National and Kapodistrian University of Athens, Greece. He has participated in 6 European Union-funded, international, collaborative R&I projects, bridging academia and industry (FP7, H2020, Horizon Europe). He has co-authored approximately 70 publications in peer-reviewed academic journals and international conferences. His research interests span machine learning, computer vision, autonomous robotics and human-computer interaction. 

Services

Intelligence that Perceives.

IMMOVO bridges the gap between world-class academic research and real-time industrial perception. We build the intelligence that allows machines to see, understand, and act.

AI & Computer Vision

Industrial R&D of high-performance perception systems and semantic scene understanding.

3D Scene Reconstruction
Semantic Segmentation
Robotic Vision Stacks
Object Tracking & Fusion

Digital Twins & IoT

Developing visually inspectable Digital Twins (DT) for actionable analytics and decision support.

Vineyard & Industrial DTs
Real-Time Data Fusion
UAV Acquisition Planning
Edge & Cloud Orchestration

Horizon Europe & R&D

Technical leadership and management for high-impact international research consortiums.

Cluster 4 Expertise
Grant Proposal Support
Contract Research
Consortium Leadership

Venture & IP Licensing

Commercial exploitation of R&D results and development of innovative tech spin-offs.

IP Strategy & Patents
Technology Licensing
Spin-off Development
Venture Studio Support

100+ Scientific Publications
10+ Years EU Research Experience
Real-Time Performance Focus