Researchers and quantitative analysts in the global financial services industry gain the ability to truly comprehend market behavior and forecast future price movements of securities.

BMLL serves a range of clients, including banks, brokers, asset managers, hedge funds, global exchange groups, and academic institutions. They offer immediate and adaptable access to Level 3 data, which is standardized, available with a one-day delay (T+1), and augmented with advanced pre and post-trade analytics, all within a scalable computing environment.

Established in 2014 within the machine learning laboratories of the University of Cambridge, BMLL's Data Science as a Service platform empowers users to access the insights they require for tasks such as order book simulation, back-testing, trading, data efficiency, risk assessment, compliance measurement, market impact analysis, benchmarking, and data sales. Importantly, this access is provided without the need to purchase, curate, or standardize the data.

BMLL offers a cost-effective means of entering its cloud-native Data Science environment via a single web portal. This environment provides users with unlimited computational power and a comprehensive historical record of the most detailed order book data for global equities, futures, and ETFs. BMLL clients can expedite their research, optimize trading strategies, and achieve significant advantages in terms of speed and scale in generating returns (alpha).