Compliance Provider Scorecard
Compliance Provider Scorecard
89
100
0
1
Designed for banks and high-throughput fintechs, HAWK:AI offers real-time AML: transaction monitoring, payment screening, customer screening, and pKYC in an explainable-AI stack. Decisions are delivered in ~150–200 ms so that fraud doesn’t fall through the cracks while customers/users wait. AML model-validation support and strong rule controls give users speed without black-box risk. Signs of funding and analyst interest indicate potential momentum. Smaller teams may feel platform’s breadth.
Designed for banks and high-throughput fintechs, HAWK:AI offers real-time AML: transaction monitoring, payment screening, customer screening, and pKYC in an explainable-AI stack. Decisions are delivered in ~150–200 ms so that fraud doesn’t fall through the cracks while customers/users wait. AML model-validation support and strong rule controls give users speed without black-box risk. Signs of funding and analyst interest indicate potential momentum. Smaller teams may feel platform’s breadth.
89/100
Total Score
- Real-Time Monitoring & Screening92/100 AmazingMillisecond-level screening and monitoring; can stop or release payments in flow. Helps cut false positives while preserving throughput.
- Explainability & Governance88/100 AmazingExplainable-AI models with supporting materials to aid AML model validation, audits. Aims to lower governance friction.
- Integration & Scale87/100 AmazingCloud-native stack, REST API; built for billions of events; add TM, payment/customer screening, customer risk rating, pKYC under one roof.
Good for
- True real-time — Screening/decisions in 150–200 ms for live payments, alerts, and investigation tools.
- One platform, many controls — TM, payment and customer screening, risk rating, pKYC; aims to minimize vendor hand-offs.
- Audit-ready AI — Explainability + guidance to support model-validation tasks can help users show regulators.
Think twice if
- Sales-led pricing — No public pricing; plan to arrive at through a demo/procurement process.
- Data dependencies are hard — Quality KYC/KYB/sanctions input remains a known AML pain point
- Feature breadth — Power users will thrive; some small/medium teams may take time to tune rules/workflows.
