FactSet

Providing AI-driven market intelligence and workflow automation to give firms an edge

Capital Markets Tech

London-based BMLL Technologies is an independent provider specializing in Level three historical data and analytics for capital markets participants worldwide. The company collects raw data from global exchanges, trading venues, and trade reporting facilities across various asset classes, including equities, futures, and exchange-traded funds (ETFs). BMLL harmonizes this data into a consistent, information-rich format.BMLL's Level three data provides transparency into the order book, derived from every order message across venues. It offers insights into order behavior, fill probability, resting time, queue dynamics, and predictive capabilities. Additionally, BMLL provides Level two and Level one data analytics.&nbsp;BMLL's cloud engineering platform improves research and analysis efficiency by maintaining consistent data quality across various venues and asset classes through a harmonized data schema. The platform's Python low-code environment enables clients to access data and generate meaningful analytics.The company's data and analytics offerings spanned over 100 trading venues globally as of June 2024. Clients, including banks, brokers, asset managers, hedge funds, regulators, and academics, leverage BMLL's offerings to drive increased flow to traders, backtest and launch new products, and generate alpha more predictably.&nbsp;Key customers and partnershipsBMLL Technologies has entered several partnerships to strengthen its product capabilities. In September 2023, the company partnered with Exegy, a global market data solutions provider, through which BMLL Technologies expects to expand its reach by integrating its Level 3 historical data with Exegy's trading infrastructure, offering traders enhanced capabilities for back-testing and alpha generation.In February 2024, the company partnered with digital asset data and index provider CCData, to enhance its digital asset offering. In June 2024, the company also partnered with INQDATA, a cloud-based data solutions provider. Through the partnership, BMLL intends to provide customers with accessibility to quantitative and market microstructure analysis and enhance their understanding of trading behaviors.

BMLL Technologies is the leading, independent provider of Level 3 Historical Data and Analytics for the world’s most sophisticated Capital Markets participants. Level 3 data captures and displays the trading intentions of all market participants. BMLL clients access this deep data to derive predictable insight. Researchers and quants across global financial services are empowered to truly understand how markets behave and predict the future price movements of securities. BMLL provides banks, brokers, asset managers, hedge funds, global exchange groups and academic institutions with immediate and flexible access to Level 3, harmonised, T+1 order book data and advanced pre and post-trade analytics, in a scalable compute environment. Founded in 2014 in the machine learning laboratories, University of Cambridge, the BMLL Data Science as a Service platform enables users to gain the insight they need for order book simulation, back-testing, trading and data efficiency, risk and compliance measurement, market impact profiling, benchmarking and data sales - without the need to buy, curate or harmonise data. BMLL delivers cost-effective access to its cloud-native Data Science environment via a single web portal, with unlimited compute power and a long history of the most granular, full order book data across global equities, futures and ETFs. BMLL clients accelerate research, optimise trading strategies and generate alpha at unparalleled speed and scale.

Aidentified reveals best paths for sales teams, account execs and brands to connect to hyper-targeted, qualified prospects using predictive analytics and next level AI-based relationship intelligence mapping. It was incorporated in 2017 and is headquartered in Boston, Massachusetts.

Accelex allows investors and servicers in alternative assets to quickly and easily acquire, extract and analyze investment data. Using artificial intelligence and machine learning, Accelex allows clients to automate the accessing, extracting, organizing and analyzing of data from alternative investment portfolios. This offers clients a more complete picture of investments from the overall portfolio all the way down to the underlying assets.

At Accelex Technology Ltd, we revolutionize investment data management for alternative assets through cutting-edge AI and machine learning. Founded in 2019, our Series A-funded startup specializes in automating the acquisition, extraction, organization, and analysis of investment data. Our platform delivers comprehensive insights that enable investors and servicers to make informed decisions with unparalleled speed, transparency, and scalability. By providing a clear view of investments—from the overall portfolio to individual assets—Accelex empowers clients to navigate the complexities of alternative assets more effectively. With a team of 50 dedicated professionals led by our Founder & CEO, Franck Vialaron, we are committed to transforming how investment data is accessed and utilized. Our technology not only enhances data-driven decision-making but also supports a more complete understanding of investment landscapes.

FactSet consolidates all the tools you need to monitor global markets, public and private companies, and equity and fixed-income portfolios in a single intuitive interface.

<div> FactSet Research Systems Inc. (NYSE: FDS) is a global provider of integrated financial information, analytical applications, and industry-leading services for the investment community. Founded in 1978 and headquartered in Norwalk, Connecticut, FactSet delivers financial data, analytics, and flexible technology to approximately 180,000 users worldwide. FactSet offers a comprehensive suite of products and services, including: <ul> <li> Financial data feeds covering global markets, public and private companies, and equity and fixed-income portfolios </li> <li> Analytics tools for portfolio management, risk assessment, and performance measurement </li> <li> Research management software and workflow solutions </li> <li> Real-time market data and news </li> <li> Enterprise data management and integration services </li> </ul> The company serves a diverse client base across the financial services industry, including asset managers, hedge funds, wealth advisors, investment banks, and corporations. FactSet's open platform approach allows clients to access its content and analytics through various delivery mechanisms, including desktop applications, mobile apps, and APIs. In recent developments, FactSet has been focusing on expanding its artificial intelligence (AI) capabilities. In June 2024, the company launched FactSet Mercury, a large language model-based workflow tool for investment professionals. FactSet has also been expanding its private company data coverage, particularly in the Asia-Pacific region, to meet growing demand for information on private markets. Additionally, the company completed the acquisition of CUSIP Global Services in 2022, further enhancing its data and analytics offerings. </div>

FactSet price target raised by $24 at Stifel, here's why

Platforms that help financial market participants collect, manage, and use traditional and alternative data, derive market insights from news, and provide trade signals to make informed decisions.

Platforms that help institutions such as asset managers, investment banks, and hedge funds to develop platforms to trade and operate brokerage services for various financial assets and instruments such as stocks, fixed income securities, derivatives, commodities, and foreign currencies.

Companies that use blockchain technology to share and synchronize data and improve efficiency across the trading workflow and post-trade actions such as clearing and settlement.

Platforms that help companies meet anti-money laundering requirements and provide identity verification tools such as KYC checks.

These platforms provide services such as risk detection, regulatory compliance, risk management, risk intelligence, collateral management, internal processes management, and strengthening of internal controls.

Companies that use GenAI as a core part of their product offering for capital markets

Deriving insights from uncommon data streams

Alternative Data

Generated by sensors. Satellite imagery captures objects on the ground (e.g., cars in a parking lot and ships at a port), lights, pollution, and particulate matter in the air.

Generated by sensors. Collected by a variety of sensors and has many uses including agriculture and other commodities sensitive to the weather.

Generated by sensors. Data gathered from the GPS, Wi-Fi, or Bluetooth signals on mobile phones or other electronic devices, which can be used to track consumer movement such as high footfall areas, time spent at specific locations, and routes.

Generated by individuals. Includes website usage (e.g., time spent on a website, actions, and volume of queries), mobile app usage, social sentiment (based on social media posts, news, videos, and online interactions on social media), product reviews, and surveys.

Generated by individuals. E-receipts gathered from consumers on an opt-in basis provide data on user purchases and product demand. Data are anonymized and provided to corporations for targeted marketing.

Generated by businesses. Credit/debit card transaction and POS system data are structured and sought after and are used to track retail and business spending (e.g., sales volumes and prices).

Generated by businesses. Data sources used to assess consumers' creditworthiness such as income and employment information, consumer banking data, payments to specialty lenders, utilities payments, rental payments, and peer-to-peer lending records. Other data types include local prices, business banking records, commercial transactions (e.g., shipping container receipts), supply chain data, and government and corporation data.

Firms that acquire individual data streams and bundle them for sale to investors or structure/analyze the data to create data products for sale to investors.

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