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FLUID Raises $10 Million To Launch AI Quant-Based Crypto Liquidity Aggregation System

FLUID, the ultra-low latency liquidity aggregator that uses AI quant-based models to tackle inefficient fragmented liquidity in virtual asset markets, has raised $10 million in funding led by prominent blockchain investors GSR and Ghaf Capital. The funding will aid the team in realizing their vision for connected liquidity; providing users access to the best real-time pricing, and liquidity for smaller venues such as exchanges, by lowering spreads and latency.

FLUID intends to significantly disrupt the way liquidity works in the blockchain and cryptocurrency space. Its proprietary smart order book offers high throughput at ultra-low fees and minimal latency by using machine learning and quantitative-based methodologies used in the high-frequency trading world. 

The team is led by seasoned ex-bankers and fintech experts from Bank of America, Goldman Sachs, BlackRock, and Jefferies. FLUID aims to tackle inefficiencies caused by fragmented liquidity – a multi-trillion dollar market problem in the virtual assets space – and will enhance liquidity across spot trading, derivatives, futures, synthetics, tokenized assets, and security token offerings. Becoming the future of liquidity aggregation will resolve this issue, benefiting DeFi, CeFi, NFTs, and other tokenized assets across retail and institutional verticals. 

We are delighted to have the backing of top institutional investors, partners, and the involvement of a world-class dedicated team to build our AI quant-based crypto liquidity aggregation system. The current technology used to aggregate virtual liquidity is many years behind that used by mainstream hedge funds and trading desks at traditional financial institutions, leading to high fees and high latency in the crypto industry. FLUID will transform the virtual assets industry by solving a number of combined challenges that arise from fragmented liquidity which remain unresolved today. In effect, we provide retail and institutional investors access to a secure, robust framework for participation in the virtual assets market,said Ahmed Ismail, President & CEO, FLUID.

FLUID’s AI quant-based engine is the system’s core and is being developed by FLUID’s CTO, Jason Jiang, who has over 23 years of experience at Goldman Sachs and BlackRock with focus on creating quant-based high-frequency models for trading on liquidity aggregators in traditional finance and recently digital markets.  

FLUID is aiming to launch in May of this year. To learn more about FLUID please visit