Anadelta P.C.

Who we are

Overview

ANADELTA P.C. is a pioneering spin-off company from the Harokopio University of Athens, School of Digital Technology, Department of Informatics and Telematics. We bridge the gap between cutting-edge AI research and real-world industry applications.

Deep Industry Knowledge

We combine cutting-edge AI expertise with a profound understanding of industry-specific challenges.

Academic Excellence

Our team leverages the research firepower of Harokopio University, ensuring our solutions are grounded in the latest advancements.

Focus on Client Success

We partner closely with our clients to tailor AI solutions that deliver measurable results.

Data-Driven Approach

Our solutions are built on robust data analysis, ensuring transparency and actionable insights.

What we do

Our Expertise

AI-enabled algorithms and systems

We develop intelligent algorithms that optimize the design, performance, and reliability of ECS across various sectors.

Technology acceptance modelling

We help businesses understand user perception and predict the adoption rate of new technologies through advanced modeling techniques.

AI-empowered risk management

Our AI-driven solutions identify, analyze, and mitigate potential risks, safeguarding your business operations.

Innovation management and exploitation tools

We provide a comprehensive toolkit to streamline your innovation process, from idea generation to successful commercialization.

Total AI-empowered marketing redefinition tools

We leverage the power of AI to personalize marketing campaigns, optimize customer targeting, and maximize ROI.

Research and development leading to innovation

Our team of researchers is constantly pushing the boundaries of AI, developing innovative solutions that address the evolving needs of industry.

strategic partnerships

Partners

Main Topics

Assets

AI-enabled algorithm for decision making of autonomous driving levels

Ontologies for semiconductors supply chain optimization

Methodology for battery state of charge (SoC) estimation in Electric Vehicles (EVs)

Privacy-preserving edge-cloud-based federated learning system for intelligent multi-labeled road surface classifications

Semantic representation to process physiological numerical data to determine the fatigue levels of drivers

Risk assessment of decision making for highly automated vehicles through Failure Mode and Effect Analysis (FMEA)

AI-enabled algorithms for the management of swarm of UAVs for monitoring and surveillance

Reinforcement-learning (RL) for autonomous navigation of Unmanned Underwater Vehicles

Technology acceptance models for a priori service / product impact maximization

LoRa Gateway Emergency Broadcasting for vehicular networks

AI-enabled algorithms for the management of Non-Terrestrial Networks (NTNs)

Multi-Object real-time detection system through DL models

End-to-end framework for optimizing patient outcomes and operational efficiency in intensive care units (ICUs) through fairness-aware and accurate length of stay (LOS) predictions within an IoT environment

Some of our work

Highlight Projects

CERTAIN

Projects

SHIELD