Visual Computing Lab

What Visual Computing Lab does

Visual Computing Lab (VCL) is a research laboratory operating within the Information Technologies Institute (ITI) of the Centre for Research & Technology Hellas (CERTH), headquartered in Thessaloniki, Greece. VCL's stated purpose is to develop new algorithms and architectures for applications in 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging. Its research is organized across seven domains — Security, Internet of Things & Robotics, e-Learning & Gamification, Media & Content Convergence, 4D Reconstruction & Tele-Immersion, e-Health & Nutrition, and Migration. Outputs include peer-reviewed publications (538 from 2003–2026), proprietary datasets (HUMAN4D, TenebrioVision, Greek Sign Language, UAVA and others), and applied research artifacts such as ParaSurf (a surface-based deep learning tool for paratope-antigen interaction prediction integrated into Neurossnap Inc. in February 2025) and DeMoCap (marker-based motion capture). Research leadership is provided by Research Director Dr. Petros Daras with a team of 56 members including Senior Researchers, Postdoctoral Researchers, PhD Candidates, Key Personnel and Research Associates.

VCL's go-to-market is community-led academic research rather than commercial sales. The lab collaborates with European universities and industry partners through EU-funded consortia, particularly under Horizon Europe and FP7, with 40 active and 87 completed EU projects. Distribution occurs primarily via top-tier conference publications, open-source dataset and code releases (e.g., ParaSurf on GitHub), and technology-transfer to European industry partners inside project consortia. There is no commercial pricing model; the revenue stream consists of EU/government research funding administered through CERTH/ITI.

The team's multimodal AI capabilities span text, image, video, audio and structured-data inputs and produce capability outputs in computer vision, NLP (including Greek sign language recognition), generative AI, recommendation, anomaly detection, and process automation. Active initiatives include TESSERA (contributing to the European Security Data Space for Innovation), REEVALUATE (cultural heritage digitization pilots), and nutrition/e-health applications such as PROTEIN. The operating entity is a government-state research unit (firm_type: government_state_entity) under parent organization CERTH; no external equity funding rounds are evidenced in source data.

Name

Visual Computing Lab

Legal name

Visual Computing Laboratory - Information Technologies Institute (ITI/CERTH)

Website

https://vcl.iti.gr

Company type

Private

Operating status

Operating

Headcount range

51–100 employees

Short description

VCL is a CERTH/ITI research laboratory in Thessaloniki, Greece, developing computer vision, 3D processing, and machine learning algorithms across security, e-health, media, and cultural heritage domains, funded primarily by EU research programs and serving the European research community.

Ownership category

akta.pro rank

Product category

Computer Vision Research & Development

NAICS

Other Scientific and Technical Consulting Services (54169)

SIC

Services-Commercial Physical & Biological Research (8731)

akta.pro primary industry

Technical Universities with Computing, Data & AI Focus (EDAHAEAK)

Keywords

• Computer vision research
• Deep learning algorithms
• 3D reconstruction
• Medical imaging AI
• Bioinformatics tools

Headquarters

HQ city

Thessaloníki

HQ country

Greece

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations

Revenue model

1. EU Research Funding: Funding from European Commission projects including Horizon Europe, FP7, and other EU funding programs. Lab collaborates with prestigious European research centers and companies to develop and deliver state-of-the-art software applications for the European market.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels3 records

Core offering

Visual Computing Lab is a research laboratory that develops new algorithms and architectures for applications in 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics, and medical imaging. It produces research outputs including AI tools (e.g., ParaSurf), datasets, and software applications, funded primarily through European Commission research grants and delivered through collaborations with European universities and industry partners.

Product overview

Visual Computing Lab (VCL) is a research laboratory within the Information Technologies Institute (CERTH-ITI) focused on developing algorithms and architectures for visual computing applications. Rather than a single unified product, VCL operates as a research lab producing multiple AI/ML technologies, datasets, and tools across domains including computer vision, medical imaging, bioinformatics, and nutrition. Key offerings include ParaSurf (deep learning for antibody-antigen prediction), DeMoCap (motion capture technology), the HUMAN4D dataset for immersive media, and the PROTEIN nutrition recommendation application. Their work spans both foundational research outputs (538 publications) and applied technologies deployed through EU-funded projects and industry partnerships.

Differentiator

Problem solved

Functional benefit

Products and services

• ParaSurf A surface-based deep learning approach for paratope-antigen interaction prediction, enabling researchers to predict antibody-antigen binding sites for therapeutic antibody design and precision immunotherapy. Made available to researchers via integration into Neurosnap Inc. services.
• HUMAN4D Dataset A human-centric multimodal dataset for motions and immersive media capture, designed for training and evaluating 3D human performance capture and motion analysis systems.
• TenebrioVision Dataset A comprehensive, fully annotated dataset for Tenebrio Molitor (mealworm) larvae insects, tailored for training deep learning models for small object detection and segmentation.
• DeMoCap Low-cost marker-based motion capture technology using multiple depth sensors for real-time 3D human reconstruction and motion analysis.
• PROTEIN Application Mobile application for personalized nutrition and healthy living, using AI to provide tailored meal plans and dietary recommendations based on individual health data.

Quantifiable outcome

• 538 research publications from 2003-2026
• +1 more outcomes

Named customers1 record

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability12 records

Feature3 records

Partnerships

Four partnerships are on record, tiered core.

• Neurosnap Inc.coreTechnology or Integration · 17 February 2025ParaSurf surface-based deep learning tool for paratope-antigen interaction prediction has been integrated into Neurosnap Inc. services. Researchers can use ParaSurf for antibody-antigen interaction predictions directly on the Neurosnap platform.
• Centre for Research & Technology Hellas (CERTH)coreStrategic or Co-development PartnerHost institution of Visual Computing Lab. VCL is part of the Information Technologies Institute (ITI) within CERTH. The lab operates within the CERTH ecosystem in Thessaloniki, Greece.
• Information Technologies Institute (ITI)coreStrategic or Co-development PartnerVCL is a research laboratory within ITI. ITI provides infrastructure, administrative support, and institutional framework for the research activities.
• European Universities NetworkcoreStrategic or Co-development PartnerCollaborates with Greek and European Universities, enabling team members to become PhD candidates. Multiple EU-funded projects involve academic consortium partners across Europe.

Scale indicators4 records

Recent moves5 records

Expansion highlights5 records

Direct peers

• INRIA: France's national research institute for digital science and technology. INRIA runs government-funded computer vision, machine learning, and AI research labs with similar publication, talent, and EU-funded project models as VCL.
• Computer Vision Center (CVC Barcelona): Spanish public research center affiliated with Universitat Autònoma de Barcelona, focused on computer vision, machine learning, and medical imaging — a near-twin of VCL in scope and EU-project orientation.
• Italian Institute of Technology (IIT): Italian public research foundation funding robotics, computer vision, and machine learning research — directly comparable in mission, funding model, and applied AI focus to VCL.
• Max Planck Institute for Informatics: German government-funded research institute with strong computer vision, graphics, and machine learning groups. Operates with similar public-sector funding, PhD pipeline, and top-tier publication output.
• Fraunhofer Institute: German applied research organization with multiple institutes doing computer vision, AI, and pattern recognition for industry and government. Similar public-sector research model with EU project participation.
• ETH Zurich Computer Vision Group: University-based computer vision research group publishing at top-tier venues (CVPR, ECCV, ICCV) with EU-funded project activity. Comparable academic focus and CV research output profile.

Broad incumbents

• Google DeepMind: Major industry AI research lab with world-leading computer vision, generative AI, and federated learning research. Comparable research topics but vastly larger compute, funding, and commercialization capability.
• Microsoft Research: Industry research organization with deep computer vision, medical imaging, and multimodal AI activity. Overlapping research domains but at much greater scale and with commercial product integration.
• Adobe Research: Industry research lab with significant work in computer vision, image/video processing, and content understanding — directly overlapping VCL's media and content convergence research areas.

Regional players

• National Centre for Scientific Research "Demokritos": Greek public research center operating in AI, robotics, and computational sciences with EU-funded project activity. Comparable in domestic Greek research context but with a broader institutional scope than VCL.

Market position

Strengths5 records

Weaknesses4 records

Competitive moat4 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xx.com/vcl_iti
• LinkedInlinkedin.com/company/visual-computing-lab

Revenue estimate

Valuation estimate

Number of profiles

Profiles8 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Visual Computing Lab