BMLL Technologies provides harmonised historical Level 3, 2 and 1 data and analytics across global equities, ETFs and futures, offering granular T+1 order book data and advanced pre- and post-trade analytics. Its customers include banks, brokers, asset managers, hedge funds, global exchange groups, academic institutions and regulators. The platform delivers immediate and flexible access to detailed market data for execution analysis, surveillance and market-structure research. Led by CEO Paul Humphrey and based in London, the company emphasizes use of the most granular order-book data to support algo development and validation. BMLL intends to use the new funding to expand operations and accelerate development efforts. BMLL Technologies supplies cloud-native, harmonized Level 3 historical order-book (T+1) data and analytics to banks, brokers, asset managers, hedge funds, and exchanges. Its platform captures every message with nanosecond-precision timestamps and applies normalization and harmonization processes to deliver high-quality, ready-to-query datasets. BMLL offers a cloud Data Science environment and web portal that removes the need for clients to buy, curate, and harmonize raw market data. The company’s data supports use cases including quant research, back-testing, transaction cost analysis, compliance, surveillance, and order-book simulation. Through a collaboration with FactSet, BMLL’s Level 3 capabilities are being surfaced as a Market-by-Price Level 2 tick-history product on a common delivery platform alongside FactSet’s Level 1 tick archive in Snowflake. BMLL was founded in 2014 in the machine-learning laboratories of the University of Cambridge.

Total raised

$47M

Funding rounds

2

Latest round

Equity

Latest activity

Oct 2024