FactEntry

Fixed Income Data Provider

General Information
Company Name
FactEntry
Founded Year
2008
Location (Offices)
London, United Kingdom +2
Founders / Decision Makers
Number of Employees
188
Industries
Analytics, Data Analytics, Marketing
Funding Stage
-
Social Media

FactEntry - Company Profile

FactEntry is a leading provider of global Fixed Income reference data, bond pricing, analytics, and data solutions for market participants. With over 16 years of experience, FactEntry has become the choice of data vendors, asset managers, ETF participants, trading platforms, and investment banks, offering a granular view of the market to meet their data needs. The company's comprehensive range of reliable and accurate information empowers users worldwide to measure risk, establish pre-trade compliance, and plan investments across all Fixed Income assets. FactEntry's Fixed Income products are renowned for their reliability and are extensively purchased by professional institutions, connecting directly and via distribution partners. Committed to applying the highest industry standards in content building and governance, FactEntry employs transparent open-source methodologies. The in-house quantitative team utilizes natural language processing and machine learning technology to address major challenges in Fixed Income pricing and data. The company is dedicated to solving data and bond pricing challenges, providing efficient and tailor-made solutions for all market participants. As a prominent player in the Analytics, Data Analytics, and Marketing industries, FactEntry continues to enhance its offerings through cutting-edge technology and unwavering commitment to client satisfaction. Founded in 2008, FactEntry remains at the forefront of providing essential insights and solutions for Fixed Income market participants.

Taxonomy: Fixed Income Data Provider, Bond Pricing, Data Solutions, Risk Measurement, Pre-trade Compliance, Investment Planning, Data Vendor, ETF Management, Structured Products, Index Management, Quantitative Analysis, Natural Language Processing

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