PharosInvoices

1. Overview

Pharos is a permissionless DeFi protocol for tokenizing and trading unpaid invoices using NFTs and ERC-20 representations. It supports liquidity pools, secondary markets, and DAO-based governance to fund SMEs and freelancers globally with transparency, yield, and modularity.

2. Target Users

• SMEs & Freelancers globally seeking working capital

• DeFi investors and institutions looking for low-risk yield

• DAOs wanting to fund ecosystem partners via invoices

3. Core Features

• Invoice Tokenization: NFT minted from uploaded invoice (ERC-721)

• Fractionalization: ERC-20 tokens represent parts of the invoice

• Liquidity Pools: SME pools or risk-tiered tranches (A, B, C)

• Underwriting & Scoring: On-chain/off-chain hybrid scoring via oracles

• Secondary Market: Trade invoice ERC-20s for early liquidity

• Governance: DAO controls fee structure, risk models, pool parameters

• Insurance Fund: Protects LPs in case of invoice default

• Risk Assessment AI Agent: Scores invoices and borrowers based on metadata and repayment history

• Governance Assistant Agent: Summarizes proposals and simulates outcomes for voter clarity

• LP Portfolio AI Agent: Suggests yield-optimized LP strategies based on pool history and risk

4. Technical Stack

• Smart Contracts: Solidity on EVM-compatible chain (Base or Arbitrum)

• Token Standards: ERC-721 + ERC-20 with permit functions

• Frontend: Next.js + Zustand + TailwindCSS + Shadcn

• Encryption: Lit Protocol for sensitive off-chain data

• Indexing: The Graph

• Storage: Pinata (IPFS)

5. Success Metrics

• TVL in invoice pools

• Number of invoices tokenized and repaid

• Secondary market volume

• Insurance claims vs defaults

• DAO governance participation

6. Go-to-Market

• Launch with verified SMEs (audited invoices)

• Attract DeFi LPs via tranching yields and privacy-backed risk models

• Partner with on-chain credit underwriters (e.g., Goldfinch)

• Run community vote for governance activation

7. Risks & Mitigations

• SME default → Risk-based pricing + insurance fund

• Regulatory → Keep off-chain data optional and pseudonymous

• Liquidity crunch → Incentivize early LPs with protocol token

• Oracles delay/wrong info → Use dispute resolution + multi-oracle fallback

• AI agent bias or misuse → Limit AI to advisory roles, not decision-making