Problem

This section outlines the identified challenges of the current DeFi ecosystem

While the decentralized finance (DeFi) ecosystem continues to expand in functionality, liquidity, and user adoption, user experience is severely lacking as it remains fragmented, unintuitive, and operationally inefficient compared to centralized exchange (CEX) platforms.

The gap between DeFi and CEX user experience is particularly evident in cross-chain workflows, pricing execution, and trading automation.

1. Fragmented Cross-Chain Interactions

The current DeFi infrastructure requires users to navigate multiple blockchain networks manually, introducing unnecessary friction at each step of the process. Users are forced to:

• Switch between different wallets or manage multi-chain wallets with network-specific configurations.

• Manually bridge assets, exposing themselves to complex routing paths, execution delays, and security risks associated with third-party bridges.

• Understand and configure network-specific gas parameters, such as gas fees, gas limits, and token approvals, which vary across EVM and non-EVM chains.

These requirements introduce a high technical barrier, slow down execution, and increase the risk of user errors, resulting in an experience far inferior to the seamless interactions provided by CEXs.

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2. Chain-Specific Pricing Disparities

Token prices across DeFi ecosystems can vary significantly between chains due to isolated liquidity pools and arbitrage inefficiencies. Traders are often forced to:

• Operate in chain-siloed environments, unable to quickly discover or act upon the best prices across networks.

• Experience price slippage due to delayed bridging or insufficient liquidity in isolated pools.

• They also miss trading opportunities because of the time and complexity involved in executing arbitrage across multiple chains.

This fragmented liquidity leads to inefficient capital allocation and deters professional traders from engaging deeply with DeFi markets.

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3. Lack of Native Automation Primitives

Unlike CEXs, DeFi lacks infrastructure for native automation of trading, position management, and network-level actions. As a result:

• Traders must manually track market movements, manage multiple positions, and respond in real-time to volatility.

• There is no standard mechanism for automated order execution, stop-loss triggers, or rebalancing across chains.

• Users must manually handle transaction nonces, manage gas optimization strategies, and monitor failed transactions.

This absence of programmable execution makes DeFi unsuitable for high-frequency strategies, large institutional flows, or casual users seeking a "set-and-forget" experience.

The limitations outlined above highlight a critical challenge in DeFi's evolution toward mainstream adoption and institutional-grade usability. Without a unified framework for abstracting chain complexity, aggregating cross-chain liquidity, and enabling automated execution, DeFi users are forced to navigate a fragmented ecosystem that lacks the efficiency and reliability of traditional platforms.