What tech stack are we using?

Our tech stack is designed to integrate traditional finance, AI-driven risk modelling, and Solana-based settlement, ensuring scalability, low fees, and institutional compliance.

Frontend & Backend

• Frontend: Kotlin/JS & React

• Backend: Kotlin & Node.js

Infrastructure & Payment Processing

• AWS for storing reference data

• Kafka for streaming payment instructions to originating banks

• Fireblocks for managing a USDC vault and secure digital asset custody

Blockchain & Smart Contracts

We are launching on Solana to ensure fast, low-cost transactions and seamless integration with DeFi liquidity.

• Anchor Framework for Solana smart contract development

• Rust & Solana Program Library (SPL) for CDO tokenization and trade finance settlement

• Solana RPC & Web3.js for blockchain interactions

• Pyth oracles to update smart contracts with bank origination instructions and real-world financial data

AI & Risk Modeling for CDO Pricing & Default Probability

We use Python and Stata to predict default probability and price CDOs, leveraging a range of statistical and machine learning techniques:

• Traditional Econometrics: Linear Discriminant Function, Logistic Regression, Penalized Logit, Generalized Method of Moments (GMM)

• Time-Series Analysis: Autoregression (AR, ARIMA, GARCH)

• Machine Learning Models: XGBoost, Random Forest, and Long Short-Term Memory (LSTM) networks

• Portfolio Risk Analysis: T- and Levy-Copulas for joint risk scoring and correlation modeling within the CDO structure

This architecture ensures real-time financial modeling, scalable trade finance infrastructure, and secure on-chain structured credit products while maintaining compliance with institutional standards.