- Built the in-house proprietary AI-driven Credit Risk Engine (CRS) tailored specifically to the shipping and logistics ecosystem, integrated multi-layer risk inputs such as Financial statement analytics, Operational vessel data, , KYC/AML structuring and Trade documentation (e.g., BDNs, ISO 8217 certificates where applicable). Then developed structured risk-weighting models adaptable to Reverse Factoring and Long-term Financing. Finally, established a scalable architecture designed for institutional integration with banks and financial partners.
- Secured early-stage commercial discussions and onboarding processes with 5 clients to underwrite a total of US$50m in credit risk assessment, secured venture debt to deploy the capital needed for these clients.
- First Revenue received of US$22k for underwriting our First Transaction.
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