Barty Wardell holds a Master of Engineering from the University of Cambridge, specialising in Aeronautics and Materials. He previously led Cambridge University Spaceflight, with the aim of becoming the first student group to achieve a space launch outside the United States. He worked as a materials science researcher at the Cambridge Centre for Micromechanics and has published in Nature Communications. His experience spans leading large technical teams and solving complex, research-grade challenges.

Aleksander Krużewski holds a degree in Economics and Management from the University of Oxford and has completed a joint Master's Degree at HEC Paris and Yale University, where he was awarded the Excellence Scholarship. His experience spans advisory work across restructuring, energy M&A, and early-stage company scaling. He has engaged in financial research, with a focus on lending practices and institutional support mechanisms. At Vividata, he works on process design and the delivery of complex, high-impact projects. Aleksander is a former competitive fencer and now spends his free time surfing.

Benedict Davies is a Machine Learning Lead at Vividata. He holds an MEng from University of Cambridge. His experience spans the development and training of speech models, with a focus on applied machine learning systems. At Vividata, he leads machine learning initiatives and works on the design and deployment of AI solutions including maintenance event classification and prediction.

Alex Hayward is Head of Product Engineering at Vividata and holds an MEng from Imperial College London. He has a background in scientific research, including experience at the UK Atomic Energy Authority. He has also worked in machine learning, with a particular focus on image models and spiking neural networks. At Vividata, he leads product engineering efforts with a strong focus on understanding the aviation industry and aviation software, working closely with clients to help shape product direction. In his free time he enjoys salsa dancing and racket sports.

Nik is fascinated with tackling interesting and challenging problems, driving him to find novel and innovative solutions. While achieving first place in his mechanical engineering exams at the University of Cambridge, Nik furthered his software engineering experience by working on computational fluid dynamics technology for Formula 1 and Aerospace clients. In his spare time, he enjoys playing the piano and the occasional ski trip.

Vassiliki Gini is a Software and Machine Learning engineer at Vividata. Vassiliki works primarily on backend platform engineering and machine learning development. She holds a BSc in Mathematics from University College London, where she received a merit scholarship and graduated with first-class honors, and a Master of Management Science degree from Yale, where she was awarded an Excellence Scholarship and graduated with honors. At Yale, she focused on machine learning and conducted research on multimodal deep learning for financial forecasting using visual and tabular data. She also worked as a research intern at Aegean Airlines in revenue management and pricing, and previously completed academic research on chaos theory, including a report titled Chaos Theory and the Double Pendulum. Outside of work, she enjoys sailing and travel.

Maksymilian de Doliwa Zieliński is a Growth Lead at Vividata. He holds a Master's degree in Finance from Erasmus University Rotterdam. Previously, he worked in venture capital, focusing on financing and supporting early-stage companies with strong network effects. At Vividata, he is responsible for expanding relationships with some of the world's leading airlines.

Giulia Motta is a Software Engineer at Vividata. She holds an MEng in Mechanical Engineering and an MSc in Human & Biological Robotics from Imperial College London. She has previous experience as a Strategy and Markets Analyst in trading, alongside a strong background in project management across technical and business environments. Her experience spans full-stack development and applied machine learning, with a focus on building data-driven solutions for operational optimisation.

Jonathan Konig holds an MPhil in Advanced Computer Science from the University of Cambridge, where he specialised in the formal verification of algebraic theories using Lean. Jonathan has been awarded the Harding Distinguished Postgraduate Scholarship and an EPSRC Doctoral Landscape Award. He is an avid ice hockey player and won the British University Ice Hockey Association National Championship with the Cambridge team. At Vividata, he specialises in adversarial data collection techniques.

Konrad Dąbrowski is a Product Manager at Vividata. He holds a degree in Management from the London School of Economics. His experience spans product development and go-to-market strategy across high-growth technology companies. Prior to joining Vividata, he co-founded GetMentioned, worked on GTM initiatives at Zowie, and worked as a private equity analyst, building a foundation in both product and commercial execution. At Vividata, he focuses on shaping product strategy and delivering solutions for operational challenges in aviation. Outside of work, Konrad is an avid runner and climber, and a passionate follower of Formula 1.

Ryan likes questions that no one can answer. Today's artificial intelligence remains static; unable to autonomously adapt to or learn from incoming data. Ryan's PhD work at Oxford concerns this exact problem - 'Continual Learning'. His work at Vividata is to bring such intelligence to an industry where it is most needed. His approach to the open question builds on formal language theory, statistical physics and optimisation dynamics. Ryan received his MEng from the University of Oxford, at the Visual Geometry Group. Ryan is an elite 400m athlete, competing at international levels.

Zhen Yap is a Software Engineer at Vividata. He holds an MEng in Materials Science from the University of Oxford, funded by the Jardine Foundation, and was an exchange student at the Massachusetts Institute of Technology (MIT) studying Aerospace Engineering and Physics. His previous experience spans software engineering and AI research at various early-stage and growth-stage startups. He has also worked as a researcher in computational materials science, machine learning, and turbomachinery at the NASA Jet Propulsion Laboratory (JPL), MIT Department of Aeronautics and Astronautics, and the Faraday Institution.