Author: Hugo Chamberlain

In the realm of financial services and beyond, ‘Know Your Customer’ (KYC) has long been a foundational principle.

We have won the award for ‘Best Proposition for AI, Machine Learning’ in the Data Management Insight Awards Europe 2023

We have won the award for ‘AI Technology of the Year’ in the 2023 Business Awards UK’s Technology Awards!

We have won the award for ‘Best Regulatory Intelligence Solution’ in the RegTech Insight Awards USA, 2023!

A crucial component of risk management is the practice of adverse media screening, which involves scrutinising entities for negative news and potential red flags.

smartKYC is proud to announce that we have won ‘Best KYC & Client On-Boarding Solution’ in the Data Management Insight Awards USA, 2023!

We are proud to announce that we have won an award for ‘Most Pioneering RegTech Provider 2023,’ in the Greater London Enterprise Awards 2023.

Multilingual NLP in adverse media screening can help unmask modern slavery.

From manually reviewing news articles to using natural language processing (NLP) to analyse open source data online, adverse media screening processes have changed substantially in recent years. But the goal remains the same: to protect your institution and your customers from potential risk and improve KYC processes. With AI solutions, that goal is now significantly more attainable.

The current role of KYC screening in PBWM KYC screening plays a crucial role in PBWM industry, ensuring compliance with regulations, mitigating financial risks, and maintaining the integrity of the financial system. As the industry evolves, the adoption of digital KYC screening processes becomes increasingly important to streamline operations. However, this sector faces unique challenges

Adverse media screening dates back several decades and has evolved alongside the changing media landscape.

KYC (Know Your Customer) screening is an essential process for businesses to identify and verify their clients’ identities as well as surfacing any potential risks associated with them. This process helps mitigate the risk of financial fraud, money laundering and other illegal activities by following KYC regulations. The information gathered during KYC screening can come from various sources, including both structured and unstructured data sets; processing these data sets presents several difficulties that businesses must overcome.