About KYAMOS

Founded in 2018 in Nicosia, Cyprus, KYAMOS LIMITED is a deep-tech research and development company specialising in graphics-processor computing, physics simulation and AI prediction models.

KYAMOS was founded by Dr. Antonis Papadakis, a former CERN CMS Collaboration member with a PhD from Trinity College Cambridge. The company bridges the gap between high-fidelity physics simulation and real-time engineering decision-making through GPU-accelerated solvers and neural surrogate models.

With a portfolio of 14 competitive research projects funded by the Bank of Cyprus, RIF Cyprus, European programmes, and ESA, KYAMOS has secured €2.3M in listed competitive research funding. Company-stated computing capacity is 80 graphics-processor dies across 10 servers. The service certificate below is a separate supporting document.

View our Certificate of Service Provision (PDF) →

Mission

KYAMOS provides advanced Computer Aided Engineering software and services through in-house algorithms, GPU-accelerated solvers, and AI-assisted engineering workflows. The company supports researchers, engineers, and industrial partners who need faster, scalable, and validated simulation technologies.

KYAMOS was founded through the IDEA Incubator/Accelerator Programme of the Bank of Cyprus and continues to connect funded research with practical CAE software development.

Scientific Heritage

Our work brings together experience in university research, large-scale scientific computing and industrial software. Meet the people behind these capabilities on the Team page.

2018
Founded
80
GPU dies across 10 nodes
€2.3M
Grant Funding
33
Founder h-index (citation measure)

Heritage

CERN CMS

Founder served as postdoctoral researcher at CERN (2004–2007) on the CMS experiment at the Large Hadron Collider.

Trinity College Cambridge

PhD in Modeling of Gas Discharges using Finite Elements: Incorporation of Navier-Stokes equations. Research on numerical modelling of gases and fluid flow.

Frederick University

Associate Professor in Electrical Engineering since 2016, publishing extensively in GPU-accelerated simulation.