AI Research & Innovation

Trusted & Reliable
AI Solutions

Accelerating insights through next-generation AI-empowered data analysis. We pair the best algorithms with the right tools to unlock the value hidden in your data.

Research partners & collaborators

CERN Columbia University TU Munich NTUA City Uni London Nottingham Trent Luleå University CERTH CERN Columbia University TU Munich NTUA City Uni London Nottingham Trent Luleå University CERTH
Our Approach

Rapid ML Prototyping
in 10 Days

A different approach using rapid prototyping — we develop a deployable machine learning prototype solution in just 10 days. From problem definition to validated AI pipeline.

DAYS 1–3

We Define With You

Define your business outcomes and goals. Create use cases. Transform your objectives into data problems.

DAYS 4–8

We Explore For You

Perform exploratory data analysis. Select appropriate ML/DL algorithms. Design AI pipelines tailored to your data.

DAYS 9–10

We Validate For You

Validate AI pipelines against your use cases. Perform explainability analysis. Produce reports with results and guidelines.


Our Solutions

AI-empowered solutions for today's most emerging industries

Healthcare

Reshaping Healthcare
with Clinical AI

From early disease detection and precision medicine to medical imaging analysis and biomechanics — we build AI solutions that empower physicians, scientists, and patients with accurate clinical understanding in real time.

Disease Management Medical Imaging Precision Medicine Biomechanics
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Medical brain scan analysis on computer screen
Industrial robotic arm in manufacturing facility

Industry 4.0

Transforming Manufacturing
with Trustworthy AI

We enable a vision for the factory of the future based on automation, advanced data analytics and machine learning — from predictive maintenance and fault detection to demand forecasting and process optimisation.

Predictive Maintenance Fault Detection Process Optimisation
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Explainability

Explainable &
Trustworthy AI

Understand the reasoning behind every decision. We build AI systems that provide trustworthy predictions with interpretable results — representing learned knowledge close to human understanding through novel graphical modelling and fairness techniques.

SHAP Analysis GLIME AI Fairness Graphical Models
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Data code analysis through eyeglasses
Oil refinery industrial plant illuminated at night

Oil & Gas / Energy

Data-Driven Energy
& Resource Analytics

Improve efficiency, safety and reduce costs with emerging ML-empowered technologies. From weather pattern identification and energy demand prediction to real-time equipment monitoring and structural health assessment.

Predictive Analytics Demand Forecasting Safety Monitoring
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Research & Impact

From Knowledge-Building Research to Industrial Innovation

Our portfolio includes both EU-funded and private projects spanning across multiple research domains — from Horizon Europe and H2020 to industry partnerships.

CERN | Columbia University | TU Munich | NTUA | City Uni London | Nottingham Trent | Luleå University | CERTH
0+

Peer-Reviewed
Publications

0

EU-Funded Research
Projects

0+

Industry Verticals
Served


Core Capabilities

We pair the best algorithms with the right tools and processes to get value from your data.

01

Data Mining

Extract and uncover interesting, non-trivial, implicit patterns from data in large databases — previously unknown and potentially actionable.

02

Data Analysis

Go beyond classical analysis to find relational and semantic interpretations of phenomena underlying massive collections of structured and unstructured data.

03

Decision Support

AI and automation that helps you make business decisions or medical diagnoses — not just understanding what happened, but predicting what comes next.

04

Explainability

Understand the reasoning behind every decision. Provide trustworthy predictions and represent learned knowledge close to human interpretation.


EU-Funded Projects

Project Portfolio

Selected EU-funded projects across healthcare, manufacturing, security, and energy domains.


Why Work With Us

A team of proven researchers and engineers with extensive track records in AI and machine learning — from award-winning academic research to real-world deployments.

Research-Driven

100+ peer-reviewed publications across AI, healthcare, manufacturing, sports analytics, and explainability.

EU-Funded Expertise

13 projects under Horizon Europe, H2020, and FP7 — from healthcare to energy to security domains.

Explainable AI

Pioneering trustworthy AI with novel explainability methods — GLIME, SHAP analysis, fairness in medicine.

Rapid Prototyping

Deployable ML prototype in 10 days — from problem definition through data exploration to validated AI pipeline.


Publications

Selected Research

Healthcare · 2025

AI-Based Graft Integrity Assessment in ACL-Reconstructed Knees

2

Explainability · 2024

Explainable AI for Laser Scanning Accuracy in Manufacturing

3

Sports Analytics · 2023

Predicting Football Performance with Explainable AI & SHAP

4

Energy · 2022

Hybrid LSTM for Cascading Thermal Energy Storage

5

Cybersecurity · 2020

Siamese CNNs for Network Intrusion Detection

AI-driven healthcare diagnostics Industrial laser scanning and metrology Football match and sports analytics Wind energy and thermal storage Network security and intrusion detection
Healthcare · 2025

Thessaly Graft Index: An AI-Based Index for the Assessment of Graft Integrity in ACL-Reconstructed Knees

Chalatsis, Siouras, Mitrousias, Chantes, Moustakidis et al. — JBJS, 2025

Read paper
Explainability · 2024

Toward Explainable Metrology 4.0: Utilizing Explainable AI to Predict the Pointwise Accuracy of Laser Scanning Devices

Lavasa, Chadoulos, Siouras, Etxabarri Llana, Moustakidis et al. — AI in Manufacturing, 2024

Read paper
Sports Analytics · 2023

Predicting Football Team Performance with Explainable AI: Leveraging SHAP to Identify Key Team-Level Metrics

Moustakidis, Plakias, Kokkotis, Tsatalas & Tsaopoulos — Future Internet, 2023

Read paper
Energy · 2022

A Hybrid Bimodal LSTM Architecture for Cascading Thermal Energy Storage Modelling

Anagnostis, Moustakidis, Papageorgiou & Bochtis — Energies, 2022

Read paper
Cybersecurity · 2020

A Novel Feature Extraction Methodology Using Siamese CNNs for Intrusion Detection

Moustakidis & Karlsson — Cybersecurity, 2020

Read paper

Our Tools

Algorithms & Frameworks

Neural Networks Transformers CNNs Graph Neural Networks LSTMs GANs Autoencoders Siamese Networks Attention Mechanisms Neural Networks Transformers CNNs Graph Neural Networks LSTMs GANs Autoencoders Siamese Networks Attention Mechanisms
SVMs Ensemble Learning Fuzzy Systems YOLO Semantic Segmentation Random Forests XGBoost Bayesian Inference SHAP & LIME SVMs Ensemble Learning Fuzzy Systems YOLO Semantic Segmentation Random Forests XGBoost Bayesian Inference SHAP & LIME
Python TensorFlow PyTorch scikit-learn Docker Kubernetes MLOps Pandas NumPy OpenCV Python TensorFlow PyTorch scikit-learn Docker Kubernetes MLOps Pandas NumPy OpenCV

Let's build your
AI solution together

From 10-day rapid prototypes to full-scale EU-funded research collaborations. Tell us about your challenge.



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