Relativity Trace and Intelligent Voice Partner

Relativity Trace, a proactive communication surveillance application, and Intelligent Voice, a third-party audio transcription vendor, have teamed up for an integrated solution that uses machine learning, voice transcription, and the ability to monitor electronic communications and voice in multiple languages.

Daiwa Capital Markets Europe is the first company to use the combined offerings as its communication surveillance solution. One of DCME's greatest focuses for the implementation of the compliance application is primary business language identification. Automatic language detection comes as standard in both Relativity Trace and Intelligent Voice, which enables the monitoring of voice and e-comms data in more than 25 languages and dialects, while Relativity Analytics' ability to detect more than 170 languages allows for an even wider range of e-comms data to be identified and reviewed in its native language.

"DCME conducted an extensive selection process to identify a solution which will enhance and supplement our communications surveillance capabilities," said Robin Oliver, head of compliance at DCME, in a statement. "Throughout the [proof of concept] phase, Relativity Trace and Intelligent Voice were able to demonstrate that their respective systems enhance DCME's surveillance capabilities by supporting multiple languages and offering a bespoke user functionality. We are pleased to partner with Relativity and Intelligent Voice and look forward to a productive relationship."

"Global financial institutions like DCME operate in a highly regulated environment, and Relativity Trace provides the organization with the technological tools they need to ensure transparency and remain compliant with regulatory requirements," said Jordan Domash, general manager of Relativity Trace, in a statement. "It has been a pleasure to work with the Intelligent Voice and DCME teams to implement the solution."

"Voice is the most difficult medium to search and monitor accurately," said Ben Shellie, CEO of Intelligent Voice, in a statement. "We used input from the DCME team to test functionality in identification of key words and used Intelligent Voice's sophisticated training algorithms to help pinpoint that for native review within Relativity Trace."

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