What BMLL Technologies does

BMLL Technologies is a London-headquartered financial market data and analytics company that provides harmonised Level 3, Level 2 and Level 1 historical order book data sourced directly from exchange matching engines via co-location partners. Coverage spans more than 100 global venues across equities, ETFs, futures, US equity options (OPRA), and prediction markets, with data normalised into a single schema at nanosecond timestamp granularity and retained indefinitely for full history regeneration. BMLL holds Vendor of Record status for every venue it covers, eliminating the need for clients to negotiate individual exchange licences.

The company monetises this data through three core products: BMLL Data Feed (delivery of raw and pre-computed analytics via API, cloud warehouse, or SFTP into Snowflake, Databricks, AWS, Azure and GCP), BMLL Data Lab (a cloud-based Python research sandbox with up to 1.5TB compute, GPU support and scheduled pipelines), and BMLL Vantage (a no-code visual analytics application with 500+ metrics). Pre-computed analytics layers include BMLL Trades Plus, Daily Classified Trades, and a Daily Analytics library covering spread, depth, fill probability, venue price quality, market impact, OHLC, VWAP, and 22-value liquidity classification. Distribution is global enterprise field sales across EMEA, Americas, and APAC, plus marketplace listings on Snowflake, Databricks, AWS, and Nasdaq Data Link, with partnerships embedding BMLL data into ISVs (Broadridge, FactSet, Rimes, Exegy, Pico) and exchange products (SIX, Aquis, WAMID).

Founded in 2014 in the University of Cambridge machine learning laboratories, BMLL raised approximately $36M across Series A and seed funding (2020), $26M in Series B (2022), and $21M in an Optiver-led strategic investment (2024), before being acquired by Nordic Capital in October 2025 for approximately $250 million, with Optiver retained as a minority shareholder. The customer base spans systematic trading firms (Optiver, Aleto), asset managers (ADIA, Capital Group, Fidelity, Norges Bank IM), investment banks (Morgan Stanley, UBS, Jefferies, Berenberg, Kepler Cheuvreux, Rothschild & Co, Standard Bank, Bernstein), exchanges (LSEG, Nasdaq, NYSE, SIX, Aquis), regulators (Bank of England, FCA), ISVs (Bloomberg, Broadridge), ETF issuers (Ultumus), and academia (École Polytechnique), with a Client Product Advisory Board anchoring product direction.

Name

BMLL Technologies

Legal name

BMLL Technologies Limited

Website

https://bmlltech.com

Company type

Private

Founded year

2014

Operating status

Operating

Headcount range

51–100 employees

Short description

BMLL Technologies provides harmonised Level 3 historical order book data and pre-computed analytics from 100+ global venues to capital markets participants, including hedge funds, asset managers, investment banks, exchanges, and regulators, delivered via cloud-native research platforms and marketplace integrations.

Ownership category

akta.pro rank

Product category

Capital Markets Data and Analytics

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Financial Transactions Processing, Reserve, and Clearinghouse Activities (522320)

SIC

Security & Commodity Brokers, Dealers, Exchanges & Services (6200), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Indexing & Data Query (subgraphs, ETL, on-chain analytics APIs) (FSAPABAD)

akta.pro secondary industry

Liquidity Infrastructure (RFQ, order-book engines, matching, liquidity-as-a-service) (FSAPADAI)

Keywords

• Historical market data
• Order book analytics
• Capital markets data
• Transaction cost analysis
• Market microstructure analytics

Headquarters

HQ city

London

HQ country

United Kingdom

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Historical Market Data Licensing: BMLL licenses access to its harmonised Level 3, 2, and 1 historical market data across equities, ETFs, futures, and US equity options from 100+ venues. Data is delivered via cloud platforms, API, SFTP, or directly into enterprise environments. Revenue is subscription-based, with pricing likely tied to data volume, venue coverage, and delivery mechanism. BMLL holds Vendor of Record status for all exchange licences, eliminating the need for clients to negotiate separate licences.
2. BMLL Data Lab Platform Subscription: Cloud-based research sandbox with tiered offerings (Trial up to 16GB; Enterprise up to 1.5TB with dedicated GPU, scheduling, and support). Revenue is subscription-based with tiered pricing based on compute capacity, dataset access, and support level.
3. Pre-computed Analytics: BMLL Trades Plus, Daily Classified Trades, and Daily Analytics are available as standalone or bundled data products, likely consumed via the Data Feed or Data Lab. Analytics built once on harmonised L3 data and delivered across TCA, surveillance, market structure, and regulatory use cases.
4. Platform Partnerships and Distribution: Data distributed through Snowflake Marketplace, Databricks, AWS Marketplace, Nasdaq Data Link, and other cloud platforms. Revenue sharing or platform fees may apply for marketplace listings. Partnerships with ISVs (Broadridge, FactSet) and technology providers embed BMLL data into third-party workflows.

Pricing tiers

Go-to-market motion1 record

Distribution channels8 records

Marketing channels7 records

Core offering

BMLL Technologies provides harmonised historical Level 3, 2, and 1 order book data and analytics from 100+ global trading venues, covering equities, ETFs, futures, and US equity options. The offering is delivered through three core products: BMLL Data Lab (a cloud-based Python research sandbox), BMLL Data Feed (data delivery via API/cloud/SFTP), and BMLL Vantage (a no-code visual analytics application), supplemented by pre-computed analytics such as BMLL Trades Plus and Daily Classified Trades.

Product overview

BMLL Technologies offers a unified platform-plus-modules architecture providing historical market data and analytics for capital markets participants. The core offering consists of three main products: BMLL Data Lab (cloud-based Python research sandbox), BMLL Data Feed (data delivery platform), and BMLL Vantage (no-code visual analytics application). These are powered by BMLL's Level 3, 2 and 1 historical order book data from 120+ global venues across equities, ETFs, futures and US equity options, supplemented by pre-computed analytics including BMLL Trades Plus, Daily Classified Trades, and Daily Analytics. Data is delivered via API, cloud platforms (Snowflake, Databricks), SFTP, or directly to cloud storage. The BMLL Activate data credits programme enables firms to build and test new solutions with lower upfront costs.

Differentiator

Problem solved

Functional benefit

Products and services

• BMLL Data Lab A secure cloud-based research environment that enables deep, scalable analysis of harmonised historical market data and pre-computed analytics without infrastructure overhead. Built for alpha research, strategy backtesting, execution analysis, and market surveillance. Available in Trial (up to 16GB) and Enterprise (up to 1.5TB with GPU) tiers.
• BMLL Data Feed Petabytes of historical market data and derived analytics securely delivered to client environments via API, files, cloud warehouse, or data platform. Provides Level 3 order book granularity, normalised across venues and geographies, with a research-ready schema.
• BMLL Vantage An intuitive no-code visual application providing granular insights over 500 metrics derived from BMLL Level 3 data for benchmarking liquidity, venue quality, and market fragmentation across global equities and ETFs.
• BMLL Level 3 Data Full-depth historical order book data at message resolution capturing every insert, update, cancel, and execution with nanosecond-precision timestamps and exchange sequence numbers. Each individual order's full lifecycle is reconstructible from the message stream across 100+ global venues.
• BMLL Trades Plus Every trade enriched at message resolution with MMT flags, 22-value liquidity classification (retail/institutional/market maker/broker-dealer), prevailing BBO at execution venue, and pre/post-trade midpoints at 15 intervals from 1ms to 5min. Designed for comprehensive TCA workflows.
• BMLL Activate Data credits programme designed to help firms build, test, and launch new solutions on top of BMLL's historical Level 3, 2, and 1 market data with lower to no upfront data licensing costs. Combines credits-based consumption with subscription elements on multi-year contracts.

Quantifiable outcome

• Clients spend 100% of time on value-add activities (alpha research, execution analysis) rather than 80% sourcing, cleaning and normalising data
• +5 more outcomes

Named customers28 records

Segments8 records

Ideal customer profiles7 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration9 records

AI capability5 records

Feature7 records

Partnerships

15 partnerships are on record, tiered core, strategic and minor.

• DatabrickscoreTechnology or Integration · 1 April 2026BMLL made its order book data available through Databricks, adding the cloud platform to a growing list of distribution channels for equities, ETFs, futures and US equity options data. The integration allows Databricks customers to pull datasets directly into their existing environment using pre-built marketplace notebooks. This was BMLL's first major distribution deal since Nordic Capital's October 2025 acquisition.
• SpiderRockcoreTechnology or Integration · 1 April 2026BMLL partnered with SpiderRock to expand cross-asset market analytics. SpiderRock US equity options print set data is now available via BMLL Data Lab, enabling clients to combine SpiderRock's options volatility surface data with BMLL's historical order book data for comprehensive cross-asset analysis.
• PicostrategicTechnology or Integration · 1 April 2026BMLL partnered with Pico to provide infrastructure for a systematic trading team at a leading global asset manager developing sub-day trading algorithms for US equities. The partnership combined BMLL's normalised historical data with Pico's real-time, low-latency infrastructure to launch a fully operational intraday trading platform within a year.
• TradefeedrstrategicTechnology or Integration · 1 March 2026BMLL and Tradefeedr partnered to build an AI-ready analytics layer for equities and futures trading data. The partnership delivers enriched, standardised trading data through a single unified API, creating a foundational layer to power the next wave of innovation in execution analytics.
• Features AnalyticsstrategicTechnology or Integration · 1 February 2026BMLL and Features Analytics partnered to accelerate trade surveillance and market integrity analytics by leveraging high-fidelity historical order book data. The collaboration aims to develop new benchmarking and detection products to enhance surveillance accuracy and regulatory compliance, reducing false positives and providing regulator-ready evidence.
• RimesstrategicTechnology or Integration · 1 January 2026Rimes, an enterprise data management and investment intelligence provider, partnered with BMLL to expand specialised analytics, data, and operational capabilities. BMLL provides historical order book data for market microstructure analysis, enabling more integrated workflows and improved data-driven decisions across the investment lifecycle. Rimes supports more than USD $75 trillion in AUM.
• WAMID (Saudi Tadawul Group)strategicTechnology or Integration · 1 January 2026WAMID, the technology and innovation arm of Saudi Tadawul Group, launched WAMID Analytics in partnership with BMLL. The platform features a no-code, cloud-based analytics dashboard in Arabic and English, enabling users to examine market behaviour, liquidity dynamics, and execution quality. This marks a step in WAMID's mission to drive digital transformation of Saudi Arabia's financial ecosystem.
• SnowflakecoreTechnology or Integration · 1 September 2023BMLL partnered with Snowflake to offer Level 3 order book data and analytics globally via the Snowflake Marketplace. The collaboration enables capital market participants to access high-quality raw data more efficiently, reducing infrastructure costs and fostering greater data collaboration. BMLL's native Snowflake connector provides zero-copy access with table-ready format.
• ExegystrategicTechnology or IntegrationExegy partnered with BMLL. Exegy clients can now do strategy back-testing on BMLL's high-fidelity data and execute using Exegy real-time data. The partnership leverages BMLL's data sourcing, saving and curation methodology.
• BroadridgestrategicTechnology or IntegrationBroadridge elevated pre-trade analytics via a 'Buy to Build' approach with BMLL, integrating Level 3, 2 and 1 data and analytics into Broadridge's trading and risk solutions. This enables pre-trade forecasts on execution time, market impact, and volatility, and improves compliance-ready reporting.
• NasdaqminorChannel Partner/ Reseller/ DistributorBMLL data is available on Nasdaq Data Link (formerly Quandl) for broad distribution to Nasdaq's data consumer base.
• SIXstrategicTechnology or IntegrationSIX partnered with BMLL to provide customised order book analytics for Swiss EBBO. BMLL worked with SIX to combine anonymised order book data from the Swiss Stock Exchange with BMLL's harmonised Level 3 data for monitoring participant-level performance and post-trade best execution analysis.
• Aquis MarketsstrategicTechnology or IntegrationAquis Markets, a leading pan-European equities trading venue, partnered with BMLL to build an analytics solution for Aquis Metric Warehouse. BMLL provides tick data and infrastructure for large-scale analytics, enabling Aquis to monitor market maker behaviour and demonstrate superior trading outcomes using independent third-party data.
• RevelateminorChannel Partner/ Reseller/ DistributorRevelate listed as a BMLL partner for data distribution.
• NeudataminorChannel Partner/ Reseller/ DistributorNeudata listed as a BMLL partner for alternative data distribution.

Scale indicators12 records

Recent moves6 records

Expansion highlights7 records

Broad incumbents

• LSEG (Refinitiv) Data & Analytics: London Stock Exchange Group operates the Refinitiv franchise providing historical tick data, Tick History, and analytics across global venues. Comparable on data coverage breadth and capital-markets client base, but offers a much wider portfolio beyond BMLL's focused L3 historical analytics niche.
• Nasdaq Data Link (Quandl): Nasdaq's Data Link (formerly Quandl) is a marketplace and API platform for alternative and financial datasets, and lists BMLL data. Comparable as a cloud-marketplace distribution channel for historical data; broader dataset portfolio and exchange-affiliated reach.
• ICE (Intercontinental Exchange) Data Services: ICE owns NYSE and operates a global data services franchise providing historical and real-time market data, analytics and connectivity for equities, derivatives and fixed income. Comparable as an exchange-affiliated data provider with multi-asset reach; BMLL serves ICE as both customer and partner, making ICE a structurally pivotal peer.
• FactSet: FactSet provides market data, analytics and workflow tools to buy-side and sell-side clients, and is both a BMLL data partner and an investor. Comparable on serving asset managers and IBs with integrated market and reference data, though FactSet's portfolio extends far beyond historical order book data.
• S&P Global Market Intelligence: S&P Global Market Intelligence offers market data, reference data and analytics across equities, derivatives and ETFs, including Capital IQ and Aftermarket Research. Comparable on multi-asset data licensing for institutional clients; broader enterprise footprint than BMLL.
• Bloomberg Data Services: Bloomberg provides historical market data, analytics and reference data through the Terminal and BPipe feeds, and is a named BMLL client. Comparable on multi-asset historical data and capital-markets customer base; much broader enterprise footprint and proprietary terminal moat.

Direct peers

• QuantHouse: QuantFeed/QuantHouse delivers normalised historical and real-time market data feeds to systematic and high-frequency trading firms, and is listed as a BMLL data ecosystem partner. Comparable on ultra-low-latency and historical order book feeds for quant clients.
• Databento: Cloud-native historical and real-time market data provider offering pay-as-you-go access to normalised order book, trades and reference data across equities, futures and options. Closest direct competitor to BMLL Data Lab / Data Feed on cloud delivery, multi-venue coverage and developer/API-first GTM.
• Polygon.io: US-headquartered market data API provider for stocks, options, forex and crypto, with a freemium tier and cloud-native delivery similar to BMLL Data Lab. Comparable on multi-asset coverage, REST API delivery and buy-side/sell-side developer audience.
• Exegy: Provider of low-latency market data infrastructure and historical feed products for capital markets, and a named BMLL technology partner. Comparable on historical/real-time order book data, exchange-feed normalisation and exchange/sell-side client base.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat7 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/bmll-technologies-ltd
• Xx.com/bmlltech
• Facebookfacebook.com/bmlltech

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles21 records

Funding overview

Funding rounds7 records

Investors10 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about BMLL Technologies