London startup fighting financial crime with ML chooses $ 70million from Goldman Sachs

London-based global data technology company – ComplyAdvantage the transformation of financial crime detection announced a new investment from Goldman Sachs Growth Equity (“Goldman Sachs”).

Although the terms of the transactions were not disclosed, the machine learning (ML) scale-up extended its Series C investment to $ 70 million with this new investment from Goldman Sachs.

Make new investments in oversubscribed Series C financing

This is an extension of the company’s oversubscribed Series C funding announced in July 2020. With it, Goldman Sachs joins a growing list of the company’s world-class investors, including the Pension Board Ontario Teachers, Index Ventures and Balderton Capital.

Use of funds for the detection of AML, KYC and financial crimes

The company will use this new investment to capitalize on the rapid growth it has experienced to date. In addition, ComplyAdvantage will establish its position as a critical part of the value chain for companies managing growing risks related to Anti Money Laundering (AML), Know Your Customer Processes (KYC) and broader financial crime.

In addition, the company has also established itself as the global partner of choice for high growth companies, including the US crypto exchange Gemini, the Australian payments app Beem It and OakNorth Bank, one of the challenger banks. the most prosperous in the UK.

Additionally, the company also announced the availability of a new program called ComplyLaunch that provides free access to the company’s award-winning AML tools and education for startups, helping them protect the integrity of their businesses by reducing the threat of financial crime.

“We have seen first-hand the compelling benefits that ComplyAdvantage offers across a range of Goldman Sachs Growth portfolio companies,” said James Hayward, Managing Director of Goldman Sachs Growth Equity. “The company brings net worth to its customers and has grown at an impressive rate. We are excited to support the business as it continues to evolve rapidly and to help businesses at all stages to manage these critical risks. “

“Innovation in financial services is the catalyst for massive business transformation. Businesses need a large-scale anti-money laundering and risk solution to deter financial crime, ”said Charles Delingpole, Founder and CEO of ComplyAdvantage. “Goldman Sachs is a great partner for ComplyAdvantage as they recognize the power of smart money laundering and risk detection not only to strengthen businesses, but also to help them bring new services to market with more confidence. and integrity. ”

Use of revolutionary technology to review and filter transactions

The unprecedented acceleration of digital transformation is supporting the rapid growth of fintech and businesses. This requires a trusted partner who can keep pace with innovation and market opportunities in the area of ​​compliance. Most of the time, the increasing volume, speed and complexity of financial crimes are not able to trace with manual review and analysis of batch data.

This required a smart approach to AML and risk mitigation using huge amounts of contextualized data with machine learning logic to deliver more accurate information in real time and at scale. ComplyAdvantage’s large-scale AML and risk detection technology does just that, so data never becomes stale. Businesses sustain their risk management solution and can grow with confidence.

Founded by Charles Delingpole in 2014, the company has four global hubs located in New York, London, Singapore and Cluj-Napoca.

ComplyAdvantage offers a true understanding of large-scale financial risk and an AML data solution that leverages machine learning and natural language processing to help regulated organizations manage their risk obligations and prevent financial crime. The company’s proprietary database is derived from millions of data points that provide dynamic, real-time information on sanctions, watchlists, politically exposed persons, and negative news. This reduces reliance on manual review processes and legacy databases by up to 80%, and improves the way businesses filter and monitor customers and transactions.

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