ComplyAdvantage Introduces ComplyTry for Efficient Verification

by Bilal Jafar
  • ComplyTry users will be able to better understand the risk profiles of prospective customers.
  • The newly introduced service will help with detecting and preventing financial crimes.
fintech

ComplyAdvantage, an international data technology company that uses machine learning for financial crime detection, announced today that it has released ComplyTry, a new tool that enables anyone to better understand the risk profiles of prospective customers using live sanctions, Politically Exposed Persons (PEPs) and adverse media data for free.

Backed by financial giants like Goldman Sachs, ComplyAdvantage aims to neutralize the risk of money laundering and other financial crimes through innovative technologies like artificial intelligence and machine learning.

The launch of ComplyTry gives its users the ability to run background checks using a database that is tailored to detect and prevent illegal financial activities.

"We decided to offer ComplyTry after having an incredible response to our ComplyLaunch program which offers free access to AML and KYC tools for startups," said Kanisha Patel, the Head of ComplyLaunch at ComplyAdvantage. "Like ComplyLaunch, our goal is to continue to democratize access to vital AML tools and information to better fortify our ecosystem against the threat of financial crimes. By making these sorts of programs and tools accessible, everyone from startups to established financial firms will benefit."

Earlier this month, ComplyAdvantage announced the selection of Mark Watson, an industry veteran with more than 26 years of technology management experience, as the company’s Chief Technology Officer (CTO).

Financial Crime Detection

With the growing popularity of innovative financial products, the risks associated with the sector have also increased. According to ComplyAdvantage, ComplyTry will conduct smart searches to detect suspicious activities.

"Compliance teams throughout the financial services industry are challenged daily to analyze, extract and validate identities that have elevated risk attributes with the ultimate goal of preventing financial crimes before they happen. Given the growing volume, velocity and complexity of financial crime, the task of identifying the potential for risk exposure through contextual analysis has become increasingly complex and time-consuming," the company noted.

ComplyAdvantage, an international data technology company that uses machine learning for financial crime detection, announced today that it has released ComplyTry, a new tool that enables anyone to better understand the risk profiles of prospective customers using live sanctions, Politically Exposed Persons (PEPs) and adverse media data for free.

Backed by financial giants like Goldman Sachs, ComplyAdvantage aims to neutralize the risk of money laundering and other financial crimes through innovative technologies like artificial intelligence and machine learning.

The launch of ComplyTry gives its users the ability to run background checks using a database that is tailored to detect and prevent illegal financial activities.

"We decided to offer ComplyTry after having an incredible response to our ComplyLaunch program which offers free access to AML and KYC tools for startups," said Kanisha Patel, the Head of ComplyLaunch at ComplyAdvantage. "Like ComplyLaunch, our goal is to continue to democratize access to vital AML tools and information to better fortify our ecosystem against the threat of financial crimes. By making these sorts of programs and tools accessible, everyone from startups to established financial firms will benefit."

Earlier this month, ComplyAdvantage announced the selection of Mark Watson, an industry veteran with more than 26 years of technology management experience, as the company’s Chief Technology Officer (CTO).

Financial Crime Detection

With the growing popularity of innovative financial products, the risks associated with the sector have also increased. According to ComplyAdvantage, ComplyTry will conduct smart searches to detect suspicious activities.

"Compliance teams throughout the financial services industry are challenged daily to analyze, extract and validate identities that have elevated risk attributes with the ultimate goal of preventing financial crimes before they happen. Given the growing volume, velocity and complexity of financial crime, the task of identifying the potential for risk exposure through contextual analysis has become increasingly complex and time-consuming," the company noted.

About the Author: Bilal Jafar
Bilal Jafar
  • 2440 Articles
  • 71 Followers
About the Author: Bilal Jafar
Bilal Jafar holds an MBA in Finance. In a professional career of more than 8 years, Jafar covered the evolution of FX, Cryptocurrencies, and Fintech. He started his career as a financial markets analyst and worked in different positions in the global media sector. Jafar writes about diverse topics within FX, Crypto, and the financial technology market.
  • 2440 Articles
  • 71 Followers

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