About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

GLEIF and Open Ownership Collaborate on Beneficial Ownership Data to Fight Financial Crime

Subscribe to our newsletter

The Global LEI Foundation (GLEIF) and Open Ownership, provider of a beneficial ownership database funded by donors including government agencies, have collaborated to integrate Legal Entity Identifiers (LEIs) into Open Ownership datasets produced in line with the Beneficial Ownership Data Standard (BODS), an open standard providing guidance on collecting, sharing and using high-quality data on beneficial ownership.

The goal of the collaboration is to promote greater transparency in corporate ownership and control to support safer, faster, and more efficient payment activities globally and a more secure financial landscape. It does this by enhancing the usability of beneficial ownership data by allowing Open Ownership’s database to be mapped to other datasets using the LEI.

The partners suggest the collaboration also has potential to improve screening processes and enhance support for anti-money laundering (AML), counter-terrorist financing (CTF), customer due diligence and sanctions enforcement efforts globally.

The Open Ownership database includes over 27 million beneficial ownership records for 9.6 million companies globally and makes the data openly available. The data is reconciled with the Open Corporates database that contains public data sourced from national business registries in 140 jurisdictions.

“This open data initiative is an important step towards addressing financial crime,” says Stephan Wolf, CEO at GLEIF. “Publicly available, high quality and electronically accessible company data is the foundation on which to combat illicit finance and address hidden risks in financial markets and global supply chains. The LEI is a key data connector that enables critical data sets to be matched. By linking it to beneficial ownership information its value increases.”

Stephen Abbott Pugh, head of technology at Open Ownership, adds: “By building on the mapping of OpenCorporates IDs to the LEI, and including the identifier alongside OpenCorporates IDs and national identities within the Open Ownership database, we can do more to disambiguate entities and extend opportunities for data users to connect our beneficial ownership data with other datasets.”

In addition to providing OpenCorporates to LEI mapping, GLEIF has also certified mapping relationships between S&P Global’s Company ID, SWIFT’s Market Identifier Code (MIC) and Business Identifier Code (BIC), and the Association of National Numbering Agencies’ (ANNA) International Securities Identification Numbers (ISIN).  Using the LEI, users of the Open Ownership data can now move across this web of identifiers to access further information on securities issuances or market listings of legal entities.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Date: 8 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for...

BLOG

Agentic AI Deployment Presents Potentially Dangerous Data ‘Trust Paradox’

Artificial intelligence deployment in capital markets’ data processes may be approaching an inflection point that, if not managed properly, could introduce dangerous risks to institutions’ operations. The growing deployment of anonymous agents has the potential to hardwire data errors into workflows, magnifying data weaknesses as the automating technology scales processes, according Informatica from Salesforce. The...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...