Olas Pearl Gets Smarter: AI Agent Can Now Bridge Funds Without User Input

Olas has introduced a game-changing upgrade to its Pearl desktop application: automated cross-chain bridging. 

The enhancement was officially announced on X via the project’s official account, showcasing the expanded capabilities of Pearl’s “Prediction Agent.”

The new feature empowers the AI agent to autonomously transfer crypto assets across blockchain networks in real time—without requiring any manual input from the user. This marks a major step toward simplifying and automating participation in complex decentralized finance (DeFi) ecosystems and on-chain prediction markets.

Pearl AI home page

A Seamless Upgrade to Pearl’s Prediction Agent

Until now, managing crypto across different blockchains required manual bridging—a process that often discouraged non-technical users due to its complexity and risk of error. With the latest upgrade, funds are automatically bridged between Ethereum and the Gnosis Chain when an agent is launched via the Pearl app.

This makes participating in blockchain-native activities like Polymarket election betting, yield optimization, and asset arbitrage smoother and more efficient. Users no longer have to monitor liquidity bridges or interact with third-party platforms to move funds between chains. Pearl handles it all in the background.

With this upgrade, Pearl continues to evolve as the flagship interface for the Olas AI network. It lowers the technical barrier to entry while offering powerful capabilities that were previously available only to advanced users.

Empowering a Broader Audience with Agent Economies

Pearl is designed to make running and owning AI agents accessible to everyone. With a one-click desktop application, users can deploy autonomous agents that act on their behalf in the crypto ecosystem. The new bridging functionality adds a crucial layer of usability for those participating in multichain environments.

What is Pearl

This upgrade also comes at a time when cross-chain interoperability is becoming a fundamental challenge in DeFi. By giving users a plug-and-play agent that handles bridging natively, Olas is helping to onboard a wider, less technical audience into the world of AI-powered finance.

That aligns with the larger mission of Olas: building a co-owned AI economy, where participation in autonomous agent networks is democratized and financially rewarding.

Pearl Agent Use Cases: From Prediction Markets to Yield Strategies

Pearl’s agent allows users to bet on a variety of outcomes automatically and efficiently—transferring funds to the correct chain for Polymarket contracts without delay.

But the utility of automated bridging extends far beyond prediction markets. In the near future, Pearl’s agents will be equipped to optimize yield across multiple DeFi protocols, using cross-chain strategies to maximize returns while reducing risk and user intervention.

Those capabilities open the door for more sophisticated, AI-driven DeFi strategies to be managed by users with no coding or financial engineering expertise.

About Olas and Autonolas

Olas is the protocol developed by Valory that enables the co-ownership and monetization of autonomous services powered by AI and blockchain. Through its native token, Autonolas (OLAS), the platform powers decentralized networks of agents that perform useful on-chain and off-chain tasks.

To date, Olas has facilitated over 1.3 million agent transactions and continues to lead innovation at the intersection of artificial intelligence, crypto infrastructure, and user-owned digital economies.

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    Steven's passion for cryptocurrency and blockchain technology began in 2014, inspiring him to immerse himself in the field. He notably secured a top 5 world ranking in robotics. While he initially pursued a computer science degree at the University of Texas at Arlington, he chose to pause his studies after two semesters to take a more hands-on approach in advancing cryptocurrency technology. During this period, he actively worked on multiple patents related to cryptocurrency and blockchain. Additionally, Steven has explored various areas of the financial sector, including banking and financial markets, developing prototypes such as fully autonomous trading bots and intuitive interfaces that streamline blockchain integration, among other innovations.

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Steven Walgenbach

Steven's passion for cryptocurrency and blockchain technology began in 2014, inspiring him to immerse himself in the field. He notably secured a top 5 world ranking in robotics. While he initially pursued a computer science degree at the University of Texas at Arlington, he chose to pause his studies after two semesters to take a more hands-on approach in advancing cryptocurrency technology. During this period, he actively worked on multiple patents related to cryptocurrency and blockchain. Additionally, Steven has explored various areas of the financial sector, including banking and financial markets, developing prototypes such as fully autonomous trading bots and intuitive interfaces that streamline blockchain integration, among other innovations.

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