Guru Network Launches Multi-Chain AI Compute Layer to Bridge Blockchain and Real-World Business Processes

DexGuru has transformed its internal developer tools into Guru Network, a new multi-chain AI compute layer designed to orchestrate complex business processes across blockchain networks. The platform, built as a Layer 3 solution on Base stack, aims to address the limitations of traditional smart contracts in real-world applications while enabling automated blockchain business process automation (BBPA).

The network leverages Chainlink's Cross-Chain Interoperability Protocol (CCIP) for multi-chain messaging and value transfers, creating what the team calls a "Multi Chain AI Compute Layer." This architecture allows decentralized applications and retail users to embed orchestrated AI agents directly into their workflows while earning network participation rewards.

Guru Network's Flow Orchestrator AI Processors utilize data from the GURU Warehouse to automate previously manual Web3 processes. According to the project documentation, current Web3 technology requires significant manual intervention, creating friction for adoption and leading to user errors. The Enlightenment network addresses these challenges by providing automated, tested processes for blockchain orchestration.

The platform incorporates off-chain data through BBPA Engines, which provide atomic visibility into all state changes. These engines publish their Event Bus as oracles on the Guru Network, integrating natively with the CCIP Architecture. An incentivized testnet launch using 3Base stack is scheduled for May 25.

The network ecosystem comprises five key participant categories. Gurus include AI Processors, Compute Node Runners, and Individual Workers contributors. Ecosystem Projects can function as Gurus while publishing their AI Processors and GURU AI Assistants Catalog for integration by other participants. Individual Agents serve as AI or non-custodial Web3 processors composed by Gurus and operated by compute nodes. Integrators provide middle-layer services for enterprise implementations, facilitating business-to-business adoption. Retail users can access network assistants through their wallets and participate in "Compute by Earn" programs during idle periods.

The platform operates using an Atomic Franchising Mechanism (AFM) facilitated by BBPM definitions deployed onto BBPA Engines. Individual Agents function as Lambda functions for serverless compute of AI Processors. Ecosystem projects integrate BBPA Process Definitions into their workflows using the GURU Flow Orchestrator as their deployment and management platform.

To illustrate practical applications, the team presents a use case involving a company selling auto parts from three warehouses across Los Angeles, North Carolina, and Florida. The company distributes products through Amazon, eBay, and insurance companies, with these products encapsulated and ready for integration into AI Orchestration Scripts as BBPA Process Definitions using the GURU Framework.

The network's incentive structure rewards participants for two primary contributions: instantiating processes from others with publisher-assigned fees, and providing infrastructure as Individual Agents. Participants can maintain their infrastructure as Private IP and sell access, similar to External Workers from Camunda, while serving as the AI Compute layer on the network.

Integration with Chainlink's decentralized oracle network ensures secure and efficient processing of off-chain computations and data feeds while maintaining integrity and confidentiality. The platform currently supports multiple blockchains including Arbitrum, Avalanche, Base, BNB Chain, Ethereum, Kroma, Optimism, Polygon, and WEMIX, with plans for additional chain support.

The development team suggests this approach enhances blockchain network scalability and performance while opening new possibilities in finance, supply chain management, and automated customer interactions where decisions require data-driven, dynamically optimized AI models. Full technical specifications are available in the Guru Network Architecture whitepaper.

Source: thedefiant.io