Collateral Types & Risk Management
At DeepFlow, risk management is at the core of everything we do — especially given our mission to support non-traditional assets. While these assets often fall outside the scope of typical DeFi lending platforms, DeepFlow’s AI-driven infrastructure allows us to assess and manage risk dynamically, without compromising on security or capital efficiency.
Accepted Collateral Types
DeepFlow supports a growing list of collateral assets that fall into two primary categories:
1. Altcoins & Community Tokens
● Includes:
○ Long-tail tokens
○ DAO tokens
○ Gaming, metaverse, and culture tokens
● Examples:
○ Gala, Tezos, Telos, and other ecosystem-native coins
● Criteria for listing:
○ On-chain liquidity and trading depth
○ Oracle integration (or proxy pricing support)
○ Community traction and development activityDeepFlow maintains an adaptive whitelist — assets can be added or removed based onupdated risk signals, governance votes, or liquidity shifts.
1. Altcoins & Community Tokens
● Includes:
○ Long-tail tokens
○ DAO tokens
○ Gaming, metaverse, and culture tokens
● Examples:
○ Gala, Tezos, Telos, and other ecosystem-native coins
● Criteria for listing:
○ On-chain liquidity and trading depth
○ Oracle integration (or proxy pricing support)
○ Community traction and development activityDeepFlow maintains an adaptive whitelist — assets can be added or removed based onupdated risk signals, governance votes, or liquidity shifts.
AI-Powered Risk Scoring
Every asset submitted as collateral receives a Risk Score, which directly influences its loanterms (LTV, interest, and fees).
The score is determined using a multi-factor AI modelincorporating:
● Volatility Index: Standard deviation of recent price movements
● Liquidity Factor: On-chain trading volume, slippage, and DEX/CEX presence
● Market Depth: Buy-side orderbook analysis or AMM liquidity depth
● Age & Community Signal: Asset maturity, holder base, Discord/Telegram activity
● Loan History (if applicable): Past loan outcomes on DeepFlow (e.g., repayments,defaults)Lower Risk Score = Better Terms
Higher Risk Score = Reduced LTV, Higher Fees
The score is determined using a multi-factor AI modelincorporating:
● Volatility Index: Standard deviation of recent price movements
● Liquidity Factor: On-chain trading volume, slippage, and DEX/CEX presence
● Market Depth: Buy-side orderbook analysis or AMM liquidity depth
● Age & Community Signal: Asset maturity, holder base, Discord/Telegram activity
● Loan History (if applicable): Past loan outcomes on DeepFlow (e.g., repayments,defaults)Lower Risk Score = Better Terms
Higher Risk Score = Reduced LTV, Higher Fees
Collateral Safety Mechanisms
To further secure the protocol, DeepFlow implements multiple protective measures:
● Collateral Vaults: All assets are locked in audited smart contracts during the loan term
● Daily Price Feeds: Ensures liquidation thresholds remain accurate and timely
● Grace Periods & Auto-Renewals: Reduce unnecessary liquidations
● Protocol Insurance Fund (future release): Covers rare edge cases or smart contract exploits
By blending AI-powered analysis, on-chain data, and flexible governance controls, DeepFlow is able to expand the collateral frontier — safely and transparently.
● Collateral Vaults: All assets are locked in audited smart contracts during the loan term
● Daily Price Feeds: Ensures liquidation thresholds remain accurate and timely
● Grace Periods & Auto-Renewals: Reduce unnecessary liquidations
● Protocol Insurance Fund (future release): Covers rare edge cases or smart contract exploits
By blending AI-powered analysis, on-chain data, and flexible governance controls, DeepFlow is able to expand the collateral frontier — safely and transparently.