Alternatives to Bureau van Dijk Orbis for corporate ownership data

Bureau van Dijk's Orbis is the closest thing the corporate ownership data category has to a monopoly. With coverage of hundreds of millions of companies and decades of accumulated data, it has been the default choice for compliance teams, investment analysts, and investigative researchers who need to understand corporate ownership structures. Moody's acquired Bureau van Dijk for approximately $3.3bn in 2017, embedding it further into the institutional data stack.

For many purposes, Orbis is serviceable. The breadth of coverage is genuinely impressive, and for basic corporate research, finding the ownership structure of a publicly traded company or a large well-documented private firm, it is often adequate. The question compliance and data teams increasingly ask is whether "serviceable" and "adequate" are good enough given what their regulators expect.

Where Orbis falls short

The most consistent criticism of Orbis from compliance professionals is the black-box ownership calculation. When Orbis assigns a UBO or an indirect ownership percentage, the interface typically shows you the result. It does not, as standard, show you which specific regulatory filing established each ownership link in the chain or explain how the indirect stake was derived. For a compliance team that must document and defend its due diligence, a UBO figure without a traceable source is a liability, not an asset. Regulators increasingly expect firms to demonstrate the provenance of their KYC data, not merely to hold a conclusion.

The second issue is latency. Orbis is updated from source registries, but the update cycle for individual entities can be slow, particularly for less prominent companies in secondary jurisdictions. Ownership changes that have been publicly filed but have not yet propagated through Orbis can create situations where a firm relies on stale data without knowing it.

The third is interface quality. Orbis is a legacy product built in an earlier era of enterprise software. Its interface is functional but slow, and integration options, particularly for real-time API access, have lagged what more modern data infrastructure providers offer.

Other options in the category

Refinitiv (now LSEG Data and Analytics) provides ownership data as part of a broader financial data stack. The strength is integration with market data and financial instruments; the weakness is that corporate ownership is a secondary product rather than a core focus, and the depth of entity coverage and UBO calculation methodology lag specialist providers.

Dun and Bradstreet covers corporate structures in the context of credit risk and procurement intelligence. The corporate hierarchy data is useful for commercial due diligence but is not designed to meet AML or KYC standards for beneficial ownership documentation.

OpenCorporates takes a different approach: aggregating publicly available registry data and making it searchable, without the analytical overlay. It is a useful source for researchers with access to raw data and the capability to process it, but it is not a UBO solution. It provides inputs, not outputs.

National registries directly, such as Companies House, EDGAR, or GLEIF, are primary sources and therefore the most authoritative. The limitation is obvious: each registry covers only its own jurisdiction, and manual cross-border resolution of complex ownership structures is impractical at scale.

What to look for in an alternative

For compliance teams evaluating alternatives, three criteria matter most. The first is provenance: does the provider show you which source document established each ownership link, with a date? A provider that cannot answer "how do you know this?" with a specific filing reference does not meet the evidentiary standard most regulators now expect.

The second is UBO methodology: is the indirect ownership calculation performed mathematically, using matrix inversion through the full corporate chain, or is it an approximation based on partial chain-tracing? The difference matters for deep multi-layered structures, which are precisely the structures that create the highest compliance risk.

The third is bitemporality: can you query the ownership structure as it stood on a specific historical date? AML investigations often focus on past transactions, and the ability to reconstruct the ownership structure at a relevant historical point is frequently required.

Briefed Atlas is built to meet all three criteria. Every ownership edge is tied to its source filing with a confidence score and legal timestamp. UBO is calculated by matrix inversion, and the graph is fully bitemporal. It is enterprise data infrastructure sold into risk, compliance, and quant engineering budgets, and is not intended as a replacement for general-purpose corporate research tools where Orbis may remain adequate. For more, see Briefed Atlas, and for the underlying concepts, what UBO means and how it is calculated.