How Nammu21 automates syndicated loans on Google Cloud Universal Ledger
Nammu21 and Google Cloud demonstrate how AI and a permissioned ledger can automate syndicated loans, cutting settlement times and reducing operational friction in corporate finance.
Syndicated loans and private credit markets have relied on manual processes, leading to slow settlements, opaque valuations, and trade frictions. Nammu21 and Google Cloud developed a proof-of-concept using Nammu21’s AI platform to convert legal loan agreements into smart contracts on Google Cloud Universal Ledger (GCUL). The system automates the entire loan lifecycle, addressing inefficiencies that have persisted despite the rapid digitization of other financial sectors.
The proof-of-concept leverages GCUL, a permissioned distributed ledger, to execute programmable contracts written in gculpy—a Python-based language optimized for financial logic. GCUL ensures near-instant transaction finality and predictable costs while maintaining strict permissioning to prevent unsolicited asset interactions. Nammu21’s Digital Credit Instruments (DCI) map legal terms directly to executable behaviors, enabling automated workflows for transfers, repayments, and interest payments without external payment rails.
Nammu21’s role includes rendering DCIs from original legal agreements and deriving gculpy contracts that govern loan terms on GCUL. The system enforces compliance by validating actions against transformed terms, mitigating covenant breaches or invalid transfers upfront. Role-based privacy on GCUL restricts sensitive data visibility to authorized counterparties, addressing confidentiality concerns in institutional finance.
The proof-of-concept modeled a $1.945 billion Term Loan B, where an agent bank, borrower, transferor, and transferee operated from a shared, permissioned ledger view. Secondary market transfers and lifecycle events were executed as automated, consent-driven workflows, with all payment flows settling directly on GCUL using tokenized commercial bank money.