About
Nethermind is a blockchain research and software engineering company empowering enterprises and developers worldwide to work with and build on decentralized systems. Our work touches every part of the blockchain ecosystem, from fundamental cryptography research, agentic AI, decentralized AI infrastructure, through security to application-layer protocol development. Nethermind is a core contributor to the development of Ethereum, and we are active builders of the Starknet ecosystem.Prizes
š Envisioning the future of Agentic AI + Physical AI āøŗ $5,000
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1st place
$2,500
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2nd place
$1,500
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3rd place
$1,000
We believe on-chain activity will be driven by autonomous agentsāsome purely digital, others bridging into the physical world. This track challenges you to showcase AI-driven Agentic or Physical systems interacting with Ethereum in tangible, next-gen ways.
Possible Directions:
- Tooling: Build a novel toolkit or tech stack that accelerates AI-driven agents.
- Mechanism & Incentives: Design commerce, resource distribution, and credit systems for autonomous physical AI networks.
- Future Cities: Reimagine governance, infrastructure, and production using AI-powered, trustless value exchange.
- MCP Utilization: Leverage Model Context Protocol for scalable data in AI systems.
- Robotics & On-Chain Interaction: Use ROS, Gazebo, Unity, or similar to connect AI agents with Ethereum-based actions.
- Metaverse/Virtual Simulations: Integrate 3D/2D environments with smart contract logic for AI-driven governance.
- Supply Chain Automation: Orchestrate robotics via DAOs, token incentives, or L2 microtransactions.
- AI Governance: Develop multi-agent systems where AI votes on proposals or triggers real-world actions.
Qualification Requirements
1. Technical Depth ā Effective integration of AI frameworks with blockchain and (optionally) robotics or simulation tools. 2. Novelty ā Is your approach distinctly innovative? Does it showcase a new angle on AI + blockchain? 3. Practical Potential ā Could this idea evolve into a real-world application or open doors to new AI-based dApps? 4. User Experience ā Clear documentation, a coherent demo, and well-structured code. 5. Completeness ā While we donāt expect a polished product, we value a working proof-of-concept with tangible (simulated) robotics-AIāblockchain interaction. 6. Project must demonstrate on-chain integration with Ethereum (or an L2) plus AI-driven logic controlling a (simulated) robot.
