A non-profit research institute building responsible predictive models, FAIR data and AI governance, and decision-support tools for safer chemicals, nanomaterials, medicines - from molecule to regulation.
Horizon Europe Projects
PhD Researchers & Scientists
Data Communities Served
Entelos is a non-profit research institute providing advanced data governance, computational tools, and predictive models to promote data-driven innovation and address various global challenges.
Our research, among others, includes:
We're removing the barriers between cutting-edge work in responsible AI, quantum chemistry, cheminformatics, systems biology, and advanced materials and the people and problems that need it.
Our predictive models for drug discovery, safe-by-design materials, and hazard and risk assessment run through simple web interfaces. No code. No training course. Just usable, interpretable answers.
A multidisciplinary team of researchers, data scientists, and domain experts committed to democratising computational science.
Our multidisciplinary research combines artificial intelligence, quantum chemistry, and systems biology to create tools and workflows that solve real-world problems. We deploy our in silico modelling tools through Eos Cloud, our flexible cloud computing environment.
We develop workflows to optimise materials for agriculture, medicine, environmental cleanup, and water treatment, making them safer for people and the planet.
AI, machine learning, quantum chemistry, and systems biology made accessible to everyone, applied to the UN Sustainable Development Goals.
We build workflows that make experimental and computational data easier to find, access, and reuse, increasing their impact on policy and regulation.
Curated data and metadata openly accessible through smart APIs and intuitive interfaces for nanomaterials and advanced materials, medicine, and chemicals (nanoPharos, medPharos, chemPharos).
Curated domain-specific data portals providing open access to high-quality datasets through smart-APIs and intuitive graphical interfaces.
A structured repository for nanoEHS data, integrating FAIR-ready scientific experimental and computational evidence.
An interoperable repository integrating genetic, environmental, and clinical data for precision health research.
A FAIR-native system organising chemical structures, properties, and relationships to support modelling, prediction, and discovery.
Eos Cloud is Entelos' flexible, easy-to-use computational environment for cheminformatics, bioinformatics, and materials science. It leverages cloud-based architecture to provide scalable, high-performance computing without requiring local hardware investments.
Entelos Institute actively participates in EU-funded Horizon Europe research projects, contributing our expertise in responsible data & AI governance, computational modelling, and predictive analytics.
2026-2030
2025-2028
2025-2028
2024-2028
2024-2027
2024-2027
Interested in collaboration, data access, or learning more about our research? We'd love to hear from you.
Larnaca, Cyprus
info{at}entelos{dot}eu