With approximately 25,000 companies onboarded on its platform, ZTL uses Roaring as an important tool in its work with KYC onboarding and risk classification. Through a well-documented API, reliable data and a strong focus on quality, Roaring supports ZTL in processes that are central to a regulated company.

ZTL operates in a regulated environment where quality, control and the right system support are essential. As an organisation, ZTL needs to onboard companies in an efficient and structured way, while ensuring that each customer can be risk classified based on relevant and reliable information.

Today, ZTL has approximately 25,000 companies onboarded on its platform. In this work, Roaring is one of the tools used to support customer risk classification.

An API developers appreciate

For ZTL, technical quality and clear documentation are important. Andreas Bjerke, co-founder and CEO of ZTL, describes Roaring’s API as well documented and easy for the development team to work with.

“Roaring has a very well-documented API. The feedback I get from our developers is that it is enjoyable to work with Roaring."
_{Andreas Bjerke - CEO}

This makes Roaring a natural part of ZTL’s technical environment. With clear documentation and high-quality data, the team has better conditions for integrating data into its existing processes.

Important system support for a regulated company

As a regulated company, ZTL continuously evaluates its system suppliers. The organisation wants to use solutions that maintain a high standard and can develop in line with the needs of the business.

Andreas highlights Roaring as a supplier that drives development forward and contributes data that supports ZTL’s work.

“As a regulated company, we are very focused on always working with the best system suppliers. In that respect, we see Roaring as innovative and as providing good data.”
_{Andreas Bjerke - CEO}

The result: better data in important processes

For ZTL, the collaboration with Roaring means that the organisation has access to a tool that supports KYC onboarding and risk classification with more and better data. This contributes to more structured processes and a more reliable basis for decision-making for teams working with risk and customer due diligence.