Imperial College London and AI startup FluidAI have joined forces to address significant challenges within the crypto market, including liquidity aggregation.

According to an announcement on August 21st, the AI lab I-X of the university will collaborate with FluidAI. The partnership aims to enhance the “tokenized market” for institutions, trading platforms, and retail investors. 

FluidAI emphasizes that their primary focus is addressing the challenge of liquidity aggregation in the crypto space.

Imperial College London currently holds the 3rd rank among UK universities. It achieved the 10th position worldwide in the latest Times Higher Education World University rankings. The college initiated the I-X project in March 2021. Renowned as a premier public research university, Imperial takes a forefront global role in advancing AI, machine learning, cutting-edge robotics, and augmented and virtual reality.

Limited and fragmented liquidity poses challenges to the crypto markets. This occurrence raises significant issues, like heightened volatility, changes in prices during trades, vulnerability to market manipulation, and abrupt market downturns.

Traditional finance solutions tackling market aggregation use low-latency technology, so it is swift to deliver the best prices. That does not exist in crypto due to its cloud-based, decentralized nature. 

In contrast to conventional markets, like stocks, which boast sophisticated existing frameworks, the crypto markets lack a firmly rooted infrastructure. The collaboration seeks to tackle these challenges and elevate the operational efficiency of digital asset markets.

Ahmed Ismail, the co-founder, president, and CEO of FluidAI, expressed his delight in collaborating with I-X. He emphasized the project’s global significance as a first-of-its-kind venture to address a significant challenge within the crypto industry.

Professor Peter Pietzuch is the co-director at I-X and a distinguished faculty member specializing in Distributed Systems within Imperial College London’s Department of Computing. He expressed his enthusiasm about partnering with a rapidly expanding enterprise led by former Imperial students in the financial domain. 

The collaboration anticipates leveraging I-X’s proficiencies in generative AI to explore novel technological fields collectively.