As a seminal supply chain risk management software company, Exiger is known for delivering exceptional risk intelligence powered by machine learning (ML) algorithms. These quality insights require not only expert algorithmic training, but also accurate and timely corporate ownership data from as many jurisdictions as possible. To that end, Exiger has cultivated a data suite pooling ownership information from a variety of data partners.

Eli Cherkasky, SVP of Business Operations at Exiger, led a trial effort with a proof of concept to test how Sayari’s data would help improve data coverage, provide more comprehensive information to Exiger’s clients, and lead to a more efficient process.

“We took 314 of the most difficult, complex companies – companies we’d already manually investigated on our clients’ behalf – and judged each candidate’s coverage of those entities,” Cherkasky explains.

Sayari demonstrated markedly superior beneficial ownership data, a vital tool in exposing illicit actors and adversarial supply chains. Without this ability to penetrate a network to its root, corporations and government agencies unwittingly base their decisions on superficial data, lulling them into a false sense of security and leaving them vulnerable to risk.

Sixty percent of the test entities saw comparable coverage by Sayari and Dun & Bradstreet, but a little over 70% of the remaining 120 entities (28% of the total) had significantly better coverage in Sayari.

“When we paired Sayari with our data suite for corporate records and credit risk, the enhancement to the data was substantial. Some of our data providers had strong global ownership and UBO coverage, but Sayari augmented our data in a unique way.” Critically, this 70% included hard-target jurisdictions not covered by other sources whereas Dun & Bradstreet’s superior coverage of the remaining 30% proved largely redundant with the rest of the suite.

“When it came to understanding who the direct owner of a company was, Sayari’s data was better,” says Cherkasky. “But when it came to understanding who the ultimate beneficial owners were – for example, the individuals that owned the company that in turn owned the target company – that’s where Sayari really shone through.” Sayari, integrated with the rest of the DDIQ data suite, demonstrated superior coverage of all but a couple of the 314 entities.

Between the millions of third-party and supply chain reports it monitors for its customers each night and the 30K deep-dive assessments it conducts each year in IPOs, SPACs, and other complex transactions, Exiger expects its partnership with Sayari to save $1.05M in annual costs.

“But that’s just scratching the surface,” says Daniels.

Exiger plans to integrate Sayari data into all of its product offerings and across all its customers. This would free up resources it could then devote to further innovating on its proprietary risk model for threat and vulnerability assessments at scale.

The partnership is also leveraged in several of Exiger’s largest government contracts, including its recent $74.5M multi-year contract award from the General Services Administration (GSA), selecting Exiger as a trusted government-wide enterprise supply chain and third-party risk management platform for the entire U.S. Government. GSA chose Exiger’s solution for its tested and proven performance across multiple scenarios, including entity vetting and analytics, supply chain illuminations, supplier mapping and collaboration solutions, and support services.

“Risk assessment is really predicated on transparency and visibility.” says Daniels. “Having witnessed Sayari’s commitment to those values, we’re confident this partnership will help us better serve the largest federal agencies, corporations, and critical infrastructure companies in the world.”