About Rachid Ajaja

Rachid Ajaja, Serial entrepreneur with a flair for modelling, analytics, quantitative analysis and data science. Founder and CEO of NexeraID where we make compliance management easy for web3 companies. With over 15 years of professional experience, Rachid Ajaja is a thought leader in the decentralised space and quantitative fields. He is a strategic advisor to multiple startups and has spoken at industry events including the Plug & Play Silicon Valley Summit, Consensus & CV Summit to name a few as well as the European Commission. Over the past decade, he has specialized in developing and implementing models and methodologies that assist top organizations with forecasting and risk management. In 2017, he successfully completed the building and deployment of highly scalable deep learning models in artificial intelligence applied to computer vision for VINCI. This work led to his orchestration of the ambitious "smart highways and smart cities" project, which combined the power of AI and Blockchain to innovate in infrastructure and urban development.  As CEO, he co-founded AllianceBlock, which is a foundational layer that delivers the building blocks for DeFi before more recently co-founding Nuant - the first unified platform for digital asset management, analytics, research and intelligence. He has produced an academic article about the AllianceBlock DEX which showcases a new generation of Automated Market Makers that mitigates the risk of Impermanent Loss. Rachid Ajaja holds an engineering degree in Computer Science & Signal Processing and a masters in Probability Theory, Stochastic Process and Quantitative Finance. Rachid Ajaja's vision behind Nuant is to create an integrated solution for institutional professionals to support their digital asset portfolio management, research and data intelligence needs. This institutional-grade portfolio analytics platform is powered by Nuant's integrated market data and proprietary on-chain data services, specifically catered to and curated for the needs of portfolio managers, analysts and data scientists in order to reduce risk and maximize returns. He holds an engineering degree in Computer Science & Signal Processing and a master’s in Probability Theory, Stochastic Process and Quantitative Finance.