About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

ComplyAdvantage Tops Up Series C Funding with Goldman Sachs Investment

Subscribe to our newsletter

ComplyAdvantage, a financial crime compliance specialist, has received new investment from Goldman Sachs Growth Equity. The investment will be used to build on the company’s rapid growth and cement its position as a critical part of the value chain for companies managing evolving risks around anti-money laundering (AML) and know your customer (KYC) processes, as well as broader financial crime.

The investment, terms of which were not disclosed, is an extension of the company’s oversubscribed Series C funding announced in July 2020, and brings the total round to $70 million. Goldman Sachs joins a growing list of investors including the Ontario Teachers’ Pension Plan Board, Index Ventures, and Balderton Capital.

In sync with the investment, ComplyAdvantage released a programme called ComplyLaunch, which provides free access to the company’s AML tools and education for startups, helping them to protect the integrity of their businesses by reducing the threat of financial crime.

“We’ve seen first-hand the benefits that ComplyAdvantage offers across a range of Goldman Sachs Growth portfolio companies,” says James Hayward, managing director for Goldman Sachs Growth Equity. “The company brings clear value to its clients and has grown at an impressive rate. We are excited to support the business as it continues to scale rapidly and help companies at all stages manage critical risks.”

Charles Delingpole, founder and CEO of ComplyAdvantage, adds: “Goldman Sachs is a great partner for ComplyAdvantage because it recognises the power of intelligent AML and risk detection not only to fortify businesses, but also to help them introduce new services to market with greater confidence and integrity.”

ComplyAdvantage offers a hyperscale financial risk insight and AML data solution that uses machine learning and natural language processing (NLP) to help regulated organisations manage risk obligations and prevent financial crime. The company’s proprietary database is derived from millions of data points that provide dynamic, real-time insights across sanctions, watchlists, politically exposed persons, and negative news. It claims that this reduces dependence on manual review processes and legacy databases by up to 80%, and improves how companies screen and monitor clients and transactions.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating a Complex World: Best Data Practices in Sanctions Screening

As rising geopolitical uncertainty prompts an intensification in the complexity and volume of global economic and financial sanctions, banks and financial institutions are faced with a daunting set of new compliance challenges. The risk of inadvertently engaging with sanctioned securities has never been higher and the penalties for doing so are harsh. Traditional sanctions screening...

BLOG

Audit-Ready AI: How Fenergo Is Redefining Financial Crime Compliance

Regulators are losing patience. In the first half of 2025, global financial institutions were hit with fines totalling $1.23 billion, a 417% increase on the same period the year before. Sanctions failures alone surged from $3.7 million in H1 2024 to $228.8 million this year, underscoring just how closely watchdogs are monitoring AML, KYC and...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...