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BMLL – The story and the Goals

History: Cambridge University spin off. Incorporated in 2014 Mission: Enabling efficient value extraction from limit order book dataDelivery mechanism: A cloud based solution enabling clients to access Big Data, unlimited processing power and Analytics in one venue

Solving the PROBLEM: • LOB data has a diverse ownership and no common format. It is complex in structure,

large in size, expensive to access and store• BMLL cloud-based solution enables customers to simply access unlimited, scalable and

cheap processing power, which until recently would have been impossible • BMLL provides analytical ‘building blocks’ to allow users to effectively analyse complex

data-sets.

WHY IS IT IMPORTANT? • The financial markets are increasingly moving towards big data and machine learning• This dataset contains vital information not available anywhere else• This information can allow traders to profit and financial regulators to catch offenders• For example, allows asset managers to efficiently execute large orders while minimizing

market impact

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• The challenges of using this data make it unavailable to >99% potential users.• BMLL offers three key components making the offering unique on a single platform.

ANALYTICS • Extracting useful

information this huge & complex data is very difficult

• Very few data scientists globally are able to solve the associated problems

HARDWARE • Hardware required to

process data or carry out analytics is very expensive to buy & maintain

• Therefore, slow to build and difficult to scale

DATA • Data owned by large

number of different exchanges

• No common source or format

• Huge in size • Difficult and very

expensive to access • Hard to understand

VALUE PROPOSITION: Ease of Access, Increasing Size of Market

OUR VISION: To Become the Bloomberg of the Data Science Age

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Global Exchanges/ Trading Venue Partners

• 32 Global Trading venues have already partnered with us, contracts have been signed and we have started downloading their Historical data

• Alpha client feedback has allowed us to target the Exchanges our customers will be most interested in utilising

• Going forward we are strategically targeting either Asset classes or Regions, or both, dependent upon Liquidity and demand

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Our Alpha Clients

REGULATORS / CENTRAL BANKS & ENFORCEMENT

AGENCIES

RESEARCH BODIES / ACADEMIA

ALPHA GENERATORS (INV BANKS, QUANTS, HFT, MACRO

AND SYSTEMATIC FUNDS)

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Addressable Market is Growing

Pricing: Will be highly competitive versus in-house alternative

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Algoseek

Thesys

QuantGo

X-Ignite

Ticksmith

Onetick

Able Markets

Vertex Analysis

Trillium Labs

4th Story

Veloxpro

Liquid Metrix

Competition from many sources, but no one combines these three building blocks (Data, Hardware and Analytics) in one platform

Competitive landscape – Where we will shine

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Management Team

CEOJohn Macpherson

CFONigel Edgerton

CTOSteve Holden

ChairmanDavid Little

Co-Founder/ Head of ResearchDr Hugh Christensen

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BMLL Update/ Mid Term report

Last round fundraising provided a runway until Dec 2017. Our next fund raising will be Series A. Those conversations have begun

David Little joined as Chairman Q3 2016, John Macpherson as CEO Q4 2016, Management team fully in place

Alpha Platform customers feedback since Q2 2016 Beta Platform (fee paying customers) goes live Q2 2017 32 data owners signed up, more to join, based on customer demand For platform launch we will host Equities data (Consolidated EU LOB tape) and

Derivatives data (CME, Eurex, Euronext, ASX, Tokyo, SGX) Development team of 19 already in place, from a total staff of 27 BMLL continues to explore how to better use our Application in other fields – These

include Insurance, Healthcare, Emerging Markets, Bitcoin, Sport and Pharmaceuticals

NEEDS – We are looking for a new CTO with the energy and enthusiasm to lead the Development team into the next chapter of BMLL’s story. In addition we look to continue our conversations with potential Investors ahead of Series A and would welcome any such Introductions.

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• Big companies in this space don’t innovate in house – too risky / expensive - they buy in

Cloud Providers / AI / Software Companies

Data Providers Exchanges Financial Services

• There have been numerous instances where these type of Companies have purchased Data, Computing and Analysis firms in recent times

Exit

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Any questions

ANY QUESTIONS?

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• Payment on demand for hourly access to limit order book data for individual securities.

• No requirement to purchase expensive in-house hardware or software - just rent it by the hour.

• Users do not pay for limit order book data storage.

• BMLL bulk purchases CPU using sophisticated spot market bidding algorithms resulting in 80% cost reduction.

• No requirement for IT staff to maintain in-house hardware.

• Single point of billing through BMLL for all data, hardware and software.

APPENDIX:Decreased Billing