ICHI Users
Last updated
Last updated
High operational costs and inefficiencies are a common issue for AMMs. ICHI addresses this through its automated on-chain rebalancing logic, which uses sophisticated algorithms to adjust liquidity positions automatically. This reduces the need for manual intervention, significantly cutting down on operational costs and enhancing overall efficiency. Additionally, ICHI supports single-sided deposits, simplifying the liquidity provision process by allowing users to deposit a single token without needing to provide paired tokens. AMMs also face challenges with sustaining reward programs and engaging users long-term. ICHI provides sustainable reward mechanisms that avoid depleting token reserves by supplying protocol-owned liquidity to Vaults. This setup generates fees that fund rewards, encouraging long-term participation and fostering a stable, engaged user base.
Layer 1 and 2 network ecosystems often struggle with scalability and ecosystem growth challenges. ICHI's solution involves contractually locked total value locked (TVL) that drives sustainable incentives. By providing financial incentives tied to the protocol’s performance, ICHI encourages network growth and supports scalability. This approach enhances platform functionality and stability, ensuring long-term ecosystem development and user retention, making it easier for networks to grow and attract users.
Token projects frequently encounter problems with liquidity and price stability during token launches. ICHI offers a solution with its cross-chain, cross-AMM support and blue-chip price backing, facilitating liquidity across multiple platforms and stabilizing prices during token generation events (TGEs). This robust liquidity provision backed by blue-chip assets ensures market confidence and smooth, stable token launches, helping token projects to achieve successful and confident market entries.
DAO treasuries often have idle tokens that are not being actively utilized. ICHI's solution is to utilize these idle tokens for active liquidity provision. By allocating treasury assets into active liquidity pools, ICHI generates returns on otherwise dormant tokens. This strategy not only enhances treasury returns through efficient asset deployment but also ensures that DAO resources are used more effectively, maximizing the value of their holdings.
Asset managers face significant challenges in capital deployment and optimization. ICHI provides a strategic solution through automated management and strategic positioning. Using automated tools, ICHI optimizes asset allocation and yield generation, allowing asset managers to maximize returns on managed assets while minimizing risks. This comprehensive approach ensures efficient capital deployment and provides asset managers with the tools needed for optimal yield optimization and risk management.
Target Audience
Problem
ICHI’s Solution
How
Automated Market Makers (AMMs)
High Operational Costs and Inefficiencies
Automated on-chain rebalancing logic
Uses algorithms to adjust liquidity positions automatically, reducing the need for manual intervention
Need for Sustainable Reward Programs and Long-Term Engagement
Sustainable reward mechanisms that avoid depleting token reserves
Supplies protocol owned liquidity to Vaults that generate fees that fund rewards.
Layer 1 and 2 Network Ecosystems
Scalability and Ecosystem Growth Challenges
Contractually locked TVL that drives sustainable incentives
Provides financial incentives tied to protocol performance, encouraging network growth
Token Projects
Liquidity and Price Stability for Token Launches
Cross-chain, cross-AMM support and blue-chip price backing
Facilitates liquidity across multiple platforms, stabilizing prices during TGEs
DAO Treasuries
Idle Tokens in DAO Treasuries
Utilizes idle tokens for active liquidity provision
Allocates treasury assets into active liquidity pools, generating returns
Asset Managers
Capital Deployment Challenges
Strategic positioning and automated management
Leverages automated tools for optimal asset allocation and yield optimization