Didimi
                                                                                                                                    
                                                                                                United Kingdom
                                                 -                                                 Cambridge
                                                                                            
                                                                                    - 26/02/2024
 - Pre-Seed
 - $953,572
 
Didimi is a Digital twins and Information Management platform for the construction industry. Our team of world-leading experts are developing a platform that can render data from commercial software vendors in the construction industry interoperable and generate Digital Twins.
- Industry Technology, Information and Internet
 - Website http://www.didimi.com/
 - LinkedIn https://www.linkedin.com/company/didimi/
 
Related People
Kyriakos KantarakiasFounder
                                                    
                                                                                                                United Kingdom -
                                                         London, England
                                                    
                                                I lead Didimi.
Previously:
I worked as a computational scientist, with focusing on statistics in aerodynamics. I have experience in publishing in high impact factor, peer-reviewed journals as well as working with industry partners in the field of aerodynamics on a contractor basis. 
In my job as a research associate in the Parallel CFD & Optimization at the National Technical University of Athens unit I worked in a 4 year project with the purpose of conducting computationally efficient statistical analysis in aerodynamics. Out of that work, I managed to cultivate industry ties while simultaneously managing to publish 4 academic papers in peer-reviewed journals and conferences, and finishing my undergraduate degree in Mechanical Engineering.
In November 2018, I joined the Department of Aeronautics at Imperial College London, where I am working in the cross-section between Applied Mathematics, Data Analysis/Statistics, Machine Learning, Optimization and Aerodynamics. 
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