StaFi has announced the launch of the second phase of its development strategy with the introduction of Staking AI Finance as part of the protocol's evolution from liquid staking infrastructure to AI-integrated services.
Transition to Staking AI Finance
This phase represents a strategic expansion of StaFi’s service offering, moving from its initial focus on Staking Finance to incorporating artificial intelligence into its liquid staking architecture. This development builds on StaFi’s core infrastructure and is intended to support AI-native applications within the staking ecosystem.
Protocol Background and Achievements
Since inception, StaFi has focused on addressing liquidity challenges in proof-of-stake (PoS) networks through liquid staking tokens (LSTs). To date, the protocol has introduced multiple LSTs—including rETH, rMATIC, rBNB, and rATOM—designed to offer staking utility while retaining liquidity. Key performance highlights include peaking at approximately $34 million in staked ETH via the rETH product, managing 554 validators through its validator matching system, and achieving a total value locked (TVL) of $100 million across the ecosystem.
AI Integration Initiatives
As part of its transition to Staking AI Finance, StaFi is developing several AI-focused applications. Notable projects include: Staking Code Agent, a tool designed to generate blockchain code using natural language, based on StaFi’s existing LSaaS architecture; and Staking Assistant Agent, a language-based interface that facilitates yield optimization and staking execution through conversational input. Both tools utilize large language models (LLMs) to reduce technical barriers for developers and end-users, supporting broader adoption of staking technologies.
StaFi’s strategic direction reflects a broader trend toward incorporating AI capabilities into blockchain protocols. Further updates on the development and deployment of StaFi’s AI agents are expected in the coming weeks.
