Snow-Rail

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Tech Stack

React

Node

Web3

Solidity

Description

SnowRail is executable treasury infrastructure for defining and automatically executing conditional on-chain payments. It allows organizations, DAOs, and machine-to-machine systems to express financial intents what to pay, how much, to whom, and under which verifiable conditions and ensures execution only occurs when all rules and risk controls are satisfied.

SnowRail solves the gap between manual treasury operations and unsafe automation. Instead of relying on human approvals or ungoverned scripts and bots, SnowRail separates decision-making from execution, enforces programmable custody, and uses verifiable signals and oracles to validate conditions before any payment is settled on-chain.

The system is designed for B2B operations, agentic workflows, and treasury use cases such as API payments, payroll, grants, cross-border settlements, and machine-to-machine commerce. Payments are executed automatically but remain fully auditable, with optional zero-knowledge privacy for sensitive flows.

SnowRail is not a trading bot, a mixer, or a DeFi dashboard. It is a financial execution engine that turns treasury policies into enforceable, on-chain actions. As a natural extension, SnowRail can allocate and manage capital across tokenized assets and RWAs using the same intent-based, rule-driven model, enabling productive treasury operations without sacrificing control, security, or interoperability.

Progress During Hackathon

During the hackathon, the project focused on building a production-oriented execution layer for on-chain payments, privacy, and yield operations. RWA and RealFi integrations were implemented, including Ondo USDY and mETH, with automatic yield distribution and a mocked KYC flow to validate real-world asset constraints. DeFi composability was achieved by integrating Lendle for lending and Merchant Moe as the DEX layer, enabling multiple composable yield strategies executed through the treasury engine. A resilient oracle system was built by combining Pyth, Chainlink, and TWAP feeds using a weighted median approach to reduce manipulation and outliers. The Zero-Knowledge privacy layer was fully implemented, with a ZK Mixer deployed and verified on Mantle Sepolia, optimized Noir circuits, and successful on-chain verification of private deposits. On the infrastructure side, a modular, provider-agnostic architecture was developed with swappable components, alongside a backend exposing over 50 live API endpoints supporting treasury execution and integrations. Frontend work began to communicate the system’s architecture and security model, including the main landing page and a visual explanation of the Zero-Knowledge privacy layer.

Fundraising Status

Fundraising is currently not the primary focus. The team prioritized building and validating the core infrastructure during the hackathon, with working deployments, verified on-chain components, and end-to-end execution flows. The project is intentionally in a pre-fundraising phase, using this stage to demonstrate technical feasibility, production readiness, and clear differentiation before engaging in formal fundraising discussions. Early conversations have been exploratory, centered on product direction and potential partnerships rather than capital raising, with the goal of entering fundraising with a validated system and concrete traction rather than a conceptual proposal.