Data-as-a-service firm DemystData ahas partnered with compliance and risk management specialist Kyckr to enhance its offerings for financial services clients.
Under the two-year agreement, DemystData will integrate Kyckr’s API into its platform. The move will allow DemystData customers to use Demyst’s platform to access Kyckr’s network of real-time registry information, allowing them to test the information in a secure sandbox environment.
“Partnering with DemystData brings together deep expertise in the data and automation space, helping us deliver the most up-to-date, legally accurate information to financial institutions globally,” Kyckr CEO Ian Henderson said. “The agreement is in alignment with our strategy to enhance collaborations with strategic partners as an accelerated method of growing our exposure to new clients and revenue.”
Founded in 2007, Kyckr provides APIs and cloud based, automated decision engines for Know Your Customer (KYC) compliance, due diligence, and customer onboarding. Kyckr’s company intelligence database offers access to 200 official registries, 120 countries, and 170+ million legal entities. The company showcased at FinDEVr Silicon Valley 2016, our developers conference.
“Know-Your-Customer verification is becoming increasingly critical and we are excited to be embedding our unique registry network onto the DemystData platform, and we look forward to working with our new partner and customers,” Henderson added.
Today’s deal also stipulates that DemystData promote Kyckr’s API to its client base, bringing awareness to Kyckr’s company intelligence tools to a fresh group of potential clients.
DemystData offers a data marketplace that helps banks and businesses protect themselves against fraud using email and address verification, criminal history information, and data on negative online sentiment. The company also offers property information for risk underwriting, as well as commercial marketing segmentation. At FinovateAsia 2012, DemystData debuted Credit-in-a-Box, a suite of tools that help banks leverage big data to make better lending decisions.