Singapore-based Flagright, an AI-native anti-money laundering (AML) compliance and risk management platform, has announced a US$4.3 million seed funding round.
The investment was led by Frontline Ventures, with significant participation from existing investors including Y Combinator, Pioneer Fund, and Moonfire Ventures.
Rubin Ritter (ex-co-CEO of Zalando), André Silva (ex-Global Head of Expansion at Revolut), Phillip Chambers (CEO of Orbex), Ahmed Badr (COO of GoCardless), Teng Sherng Lim (ex-CCO of Advance.AI), and Saqib Mirza (CEO of Sciopay) also participated in this funding round.
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This new capital injection will be channelled towards accelerating AI innovation, notably the launch of their AI Forensics product family, and facilitating expansion into the North American market by establishing new offices in New York and San Francisco.
Founded by Baran Ozkan (CEO) and Madhu G Nadig (CTO) and incubated in Y Combinator’s Winter 2022 batch, Flagright provides an AI-native operating system designed for modern risk management teams. The company currently serves over 50 customers across six continents.
The funding announcement comes when the complexities and consequences of financial crime are increasingly apparent, as highlighted by recent high-profile cases such as Singapore’s SGD3 billion (US$2.24 billion) money laundering scandal and TD Bank’s US$3 billion settlement over AML failures. These incidents underscore the critical need for more effective and proactive compliance tools.
Flagright’s platform aims to address the limitations of traditional compliance vendor systems, which are often characterised as outdated, slow, and inefficient, leading to excessive false positive rates and labour-intensive manual processes. Its no-code platform offers a centralised solution encompassing dynamic risk scoring, automated case management, real-time transaction monitoring, and AML screening.
Notably, Flagright boasts a high-performance scenario builder with sub-second API response times and advanced integrations with data providers like LSEG and Dow Jones.
According to the company, customers have reported significant improvements in operational efficiency, including 98 per cent fewer false positives, 87 per cent less manual monitoring effort, and a 90 per cent improvement in compliance accuracy. The platform’s reliability is underscored by its 99.99 per cent uptime and real-time data processing in under 700 milliseconds.
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Flagright’s newly launched AI Forensics product family promises to automate compliance workflows across screening, monitoring, governance, and quality assurance. This includes AI agents for monitoring (automating alert investigations), governance (simplifying regulatory change management), and quality assurance (enhancing compliance QA processes). These agents are integrated into Flagright’s AML solution with a centralised data lake, enabling superior risk detection and continuous improvement.
The firm also has offices in Berlin and Bangalore.
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