Directory/IPOR Labs AG
Category
  • DeFi Apps
  • Exchanges
  • Infrastructure Providers
  • Market Makers
Use Cases
  • Borrowing and Lending
  • Trade Finance
  • Trading and Swapping
  • Treasury Management
  • US Dollar Access
Blockchains Supported
  • Arbitrum
  • Ethereum
On/Off-Ramps
  • No
Platform
  • Web
Support
IPOR Labs AG

The Heartbeat of DeFi: Intelligent On-Chain Asset Management, Interest Rate Derivatives, and Benchmarks.

Developed by IPOR Labs, the IPOR Protocol, a decentralized finance protocol that reimagines established traditional finance primitives and products on-chain, focuses on interest rates, their derivatives, and portfolio execution, automation, and optimization.

The IPOR Protocol’s initial products include interest rate benchmarks for some of the most liquid assets in DeFi and capital efficient, peer-to-pool vanilla interest rate swaps. The IPOR Protocol also prints and trades a real-time stake rate benchmark for Lido’s stETH. IPOR’s interest and stake rate products enable hedging, speculating, and arbitraging various DeFi rates.

Complementing the derivatives products, the IPOR Protocol offers various yield-generation opportunities via single-asset liquidity pools. Liquidity providers earn protocol-generated fees, boosted liquidity mining incentives, and more.

Striving for maximum yield optimization and automation, the protocol has also unveiled IPOR Fusion - a meta DeFi aggregation, execution, and intelligence engine for on-chain asset management. IPOR Fusion enables protocols, fund managers, DAO treasuries, and liquidity providers to access maximally optimized risk-adjusted returns by dynamically tapping into any existing yield opportunity on the DeFi market.

Use Cases

IPOR Interest Rate Derivatives

• DeFi-native interest rate derivative trading and benchmarks • Peer-to-pool interest and stake rate swaps • 1,000x leverage, capital efficiency

IPOR Fusion

• Engine for asset management and automated DeFi yield strategies • Meta DeFi aggregation • Smart contract execution engine • Intelligence and optimization • Parameterizable

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