PRISM AI Agents to Tap Into Mantis

Mantis is partnering with PRISM, a developer platform for artificial intelligence (AI) and machine learning (ML) at scale on Solana. Through this collaboration, AI agents from the PRISM platform will be able to tap into Mantis for optimized execution. This will allow users to type plain-text intents into PRISM agents, with intents being resolved and settled by the Mantis solver network in a manner prioritizing best execution. Thus, the optimizations of Mantis and of PRISM’s AI technologies will synergize, providing the best user experience and outcomes in the ecosystem.

About the Partnership

Mantis is already optimized to provide users with best execution, thanks to our solver network leveraging optimization algorithms. Soon, via our partnership with PRISM, the intent generation and execution process on Mantis will be even further improved:

  • Enhanced UX: PRISM enables users to type in a ChatGPT-like manner, where they are able to freely enter a command or question instead of being limited to selecting from preset options.

  • Improved Execution: AI agents from PRISM can enable additional optimizations on user intents, such as submitting transactions at optimal times.

  • Facilitating Interoperable AI Agents: AI Agents powered by Mantis will also be able to access the different chains connected to IBC, therefore increasing the reach and complexity of what is made possible for AI Agents.

  • Native Yield: AI Agents deployed on Mantis, with capital deployed to the rollup will also be able to access the native yield offered by Mantis.

  • Conditional Logic: Integrating Prism further expands the capabilities of what is possible for our intents, meaning we are able to then create features such as limit orders and DCA.

In addition to these benefits, we are especially thrilled to be working with PRISM as they are Solana-native and have direct, real-time access to the Solana blockchain. That means that their technology will already seamlessly integrate with our own Solana-based Mantis rollup.

Why is this so important?

The new AI Agent economy is starting to take off as a new vertical within the industry with an extremely high ceiling / TAM. AI agents in DeFi are poised to revolutionize what’s possible on-chain by bringing a new level of automation, intelligence, and efficiency to decentralized finance.

These autonomous agents can analyze vast amounts of data, execute complex trading strategies, optimize yield farming, and even manage entire portfolios, all without human intervention. They are also far more easy to deploy than programming a bot from scratch. By interacting directly with smart contracts, AI agents can react to market changes in real-time, executing trades and adjusting strategies faster and more accurately than any human could. This will not only enhance the performance of DeFi protocols but also make sophisticated financial strategies accessible to a broader audience - further decentralizing what is possible on-chain. As AI agents become more integrated into DeFi, we’ll see a transformation in the way users / AI Agents are able to interact with financial primitives and financial services, creating a more dynamic, responsive, and inclusive DeFi ecosystem on-chain.

About PRISM

PRISM (Predictive Reasoning/Inference on Solana Mainnet) was created by Trustless Engineering Corporation. Its main purpose is to empower developers with AI, ML, and predictive analytics tools and infrastructure.

Typically, incorporating enterprise-level AI/ML into an application is incredibly developmentally intensive. Unlike existing AI tooling options, PRISM does not have massive infrastructure or maintenance requirements. Instead, PRISM abstracts complexities away for developers and end users. This eases the developer upkeep efforts that would normally be needed to integrate AI into their protocols.

Key features of PRISM include:

  • Generative AI: PRISM has advanced AI models enabling developers to generate AI agents with insights and predictions based on blockchain data, with minimal overhead.

  • Predictive Analytics: PRISM incorporates custom machine learning models for analyzing various factors such as token risk or transaction patterns.

  • Solana Integration: Projects incorporating PRISM can seamlessly interact with Solana for real-time data and complex operation execution, as PRISM is optimized for Solana.

Currently, the PRISM open beta is live for testing. If you want to participate yourself, you can go to the Prism app. In the future, PRISM hopes to see a thriving ecosystem of different projects leveraging their AI tooling.

For even more information on PRISM, reference their documentation, blog, and X. You can also check out their roadmap to see upcoming products and launches.

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