List of Xtract.io Customers
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Since 2010, our global team of researchers has been studying Xtract.io customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Xtract.io for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Xtract.io for Analytics and BI include: LexisNexis, a United States based Professional Services organisation with 11800 employees and revenues of $2.41 billion, Cengage, a United States based Education organisation with 4400 employees and revenues of $1.54 billion and many others.
Contact us if you need a completed and verified list of companies using Xtract.io, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Xtract.io customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Cengage | Education | 4400 | $1.5B | United States | Xtract.io | Xtract.io | Analytics and BI | 2024 | n/a |
In 2024, Cengage implemented Xtract.io's FreDa data enrichment platform within its Analytics and BI environment to automate company and content data enrichment. The Xtract.io FreDa deployment supported research and content operations in the United States and aimed to improve data quality and delivery speed. It automated enrichment pipelines and entity level augmentation to standardize company and content metadata used by editorial teams.
The solution was operationalized by Cengage editorial staff who used FreDa enriched records to accelerate content production and research workflows, with vendor citations noting prompt delivery and high quality information from the FreDa service. The implementation aligned Xtract.io capabilities to content operations and research functions within Cengage's Analytics and BI practice, improving upstream data quality and downstream content delivery processes.
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LexisNexis | Professional Services | 11800 | $2.4B | United States | Xtract.io | Xtract.io | Analytics and BI | 2024 | n/a |
In 2024, LexisNexis engaged Xtract.io's FreDa service to implement Xtract.io as an Analytics and BI capability for market tracking and corporate affiliations data extraction across its United States research and market intelligence operations. The engagement targeted automated extraction and enrichment of corporate affiliation records and market tracker data to support research workflows and market intelligence analysts.
Xtract.io's FreDa service was configured to run extraction pipelines and data enrichment processes, producing structured affiliation outputs and market signals ready for ingestion into LexisNexis research platforms. Functional capabilities implemented included entity extraction, affiliation resolution, and scheduled market tracker feeds to improve data currency and accuracy.
Operational coverage was focused on United States research and market intelligence teams, with governance oriented around data quality controls and integration-ready outputs for analyst workflows. The vendor page documents quotes from LexisNexis staff praising prompt delivery and precise extraction of corporate affiliation and market tracker data, and LexisNexis cites enhanced timeliness and accuracy as outcomes of the 2024 implementation.
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Buyer Intent: Companies Evaluating Xtract.io
Discover Software Buyers actively Evaluating Enterprise Applications
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