Hawk provides an AI-powered anti-financial crime platform that combines transaction monitoring, payment screening, customer screening, customer risk rating, and fraud detection. The platform serves over 80 customers globally, from Tier 1 banks to digital-first fintechs, and was recognised as a Strong Performer in the Forrester Wave for Anti-Money Laundering Solutions, Q2 2025.

Founded 2018 | HQ: Munich, Germany | Funding: $83 million

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Hawk was founded in 2018 by Tobias Schweiger (CEO) and Wolfgang Berner in Munich, Germany. The company was built to solve a problem that has plagued financial crime compliance for decades: legacy rule-based systems generate enormous volumes of false alerts while missing genuinely suspicious activity.

The platform now serves over 80 customers across banking, payments, and fintech, including Ecobank, Vodafone, Worldline, VR Payment, VakifBank International, Volt, and Synctera. In April 2025, Hawk raised $56 million in a Series C led by One Peak, with participation from Macquarie Capital, Rabobank, BlackFin Capital Partners, Sands Capital, and DN Capital, bringing total funding to $83 million.

Hawk differentiates through its FRAML (Fraud and AML) convergence approach, running fraud detection and anti-money laundering on a single platform rather than requiring separate systems. The company has been recognised with the Chartis RiskTech AI 50 award (2025), the Datos Insights Winner award (2025), and a Celent Advanced Technology Award.

Explainable AI that reduces false positives by 70 percent. This is not a vague marketing claim. Hawk's AI overlay sits on top of traditional rule-based monitoring and learns from analyst decisions to reduce false alerts by over 70 percent while simultaneously detecting twice as many previously undetected cases of novel criminal activity. The AI is explainable, meaning every alert comes with transparent reasoning that compliance officers can present to regulators. This is critical: black-box AI in compliance is a regulatory liability.

FRAML convergence on a single platform. Most financial institutions run separate systems for fraud and AML, creating data silos and blind spots. Hawk integrates transaction monitoring, payment screening, customer screening, customer risk rating, and fraud detection into a unified platform. A single suspicious pattern can trigger both fraud and AML workflows simultaneously, catching threats that fall between the cracks of siloed systems.

Self-service rule creation without IT dependies. Compliance teams can build and modify detection rules without coding or engineering support. This mirrors the no-code empowerment that platforms like Unit21 and Hummingbird offer, but Hawk pairs it with an AI overlay that automatically learns which rules generate productive alerts and which produce noise.

Deployment flexibility across SaaS and private cloud. Unlike competitors that mandate a specific deployment model, Hawk offers SaaS or private cloud options with API-based integration into existing core banking and data management systems. This flexibility is essential for Tier 1 banks with strict data residency requirements and fintechs that prefer managed SaaS.

US market presence is still early. Despite the Series C funding earmarked for US expansion, Hawk's customer base skews heavily toward European and emerging market institutions. The Forrester Wave recognition will help, but organisations evaluating Hawk in North America should ask about regional support capacity and local reference customers.

Pricing is fully custom with no transparency. Hawk does not publish pricing tiers, and no third-party pricing data is readily available. This is standard for enterprise compliance software, but it makes budgeting and vendor comparison more difficult, particularly for mid-market fintechs evaluating multiple platforms.

Documentation is not publicly accessible. Prospective customers cannot browse developer documentation, API references, or integration guides without engaging sales. This creates friction in technical evaluation and slows down the proof-of-concept process compared to competitors with open documentation.

Pricing is not publicly disclosed. Hawk operates on custom enterprise pricing. No free tier or self-serve option is available. The platform deploys via SaaS or private cloud with API-based integration to core banking, payment processing, and data management systems. Training and documentation are included with purchase. Implementation support is provided during onboarding.

Hawk holds SOC 2, ISO 27001, and GDPR certifications. All data is encrypted in transit and at rest using AES encryption. The company deploys HashiCorp Vault for secrets management and key rotation for personally identifiable information, in line with GDPR requirements. All PII data is tokenised, stored separately, and encrypted, with access secured through role-based controls and audit trails. Security is embedded across the development lifecycle, including four-eye code reviews, OWASP training, automated security tests, and continuous code scanning.

Overall: 3.5/5

Hawk is the most compelling option for financial institutions that want to converge fraud and AML operations onto a single AI-powered platform. The 70 percent false positive reduction and ability to detect twice as many novel threats are backed by Forrester recognition and adoption by Tier 1 banks. The combination of SOC 2, ISO 27001, and GDPR compliance, together with flexible deployment options, makes Hawk suitable for the most regulated environments. The main barriers are pricing opacity, US market maturity, and closed documentation. Organisations already running separate fraud and AML systems should evaluate Hawk's FRAML convergence as a path to eliminating the blind spots that siloed approaches create.

Try Hawk: hawk.ai

Is your compliance team still running fraud and AML as separate operations, or is it time to close the gap between the two?

Editorial disclaimer: Reviews reflect the independent editorial assessment of Major Matters and are not sponsored or endorsed by the companies reviewed. We recommend conducting your own evaluation to determine whether any product is the right fit for your specific requirements.