Hawk, the leading provider of AI-powered technology for fraud prevention and anti-money laundering (AML), today announced a further extension of its Series B financing, with Macquarie Capital having agreed to join existing investors Rabobank, BlackFin Capital Partners, Sands Capital, DN, Picus, and Coalition.
The funding will further accelerate Hawk's international growth, driven by soaring demand for AI-powered anti-financial crime technology. Hawk's explainable AI allows financial institutions to significantly enhance the effectiveness of their financial crime detection and prevention capabilities while ensuring compliance with AML/CFT regulations.
“Hawk is a very exciting company. Their AI-centric approach to combatting financial crime is delivering impressive results, while the completeness of their enterprise solution in bringing AML, sanction screening and fraud prevention together really sets them apart from other vendors in this space. We look forward to supporting the growth of the company through our investment and expertise,” said Elmar Broscheit, Global Co-Head of Macquarie Capital Venture Capital.
“We’re delighted that Macquarie Capital has chosen to work with Hawk. The global banking sector has recognized the enormous potential of AI in preventing, detecting, and managing financial crime. Leveraging Macquarie Capital’s network and experience scaling successful risk software businesses will enable us to further expand our client base in Asia-Pacific, the US and beyond,” said Tobias Schweiger, CEO and Co-founder of Hawk.
Hawk’s stellar growth continues in 2024. Founded in 2018 by finance industry veterans, the company has rapidly scaled globally and currently monitors or screens billions of transactions worldwide. The company’s explainable AI approach has proven to be a gamechanger in the industry, enabling financial institutions to drastically reduce false positive rates compared to traditional AML/CFT solutions, while also detecting more unseen and novel crime. Hawk’s modular solution can either enhance or replace traditional rules-based systems with AI-powered transaction monitoring, payment screening, perpetual KYC, and fraud prevention in real-time to deliver greater accuracy and reduced noise.