Decentralized AI Compute
for Smart Cities & DeFi

A privacy-first, cross-chain AI marketplace powered by Polkadot's multichain architecture. Deploy AI agents, monetize IoT data, and protect against MEV—all on a permissionless mesh network.

The Challenge

Current AI infrastructure faces critical limitations that prevent widespread adoption and innovation

Centralized Compute Bottlenecks

Traditional cloud AI providers create single points of failure with limited geographic reach and vendor lock-in

Siloed Smart City Data

IoT sensor data remains isolated in proprietary systems, preventing monetization and cross-city intelligence sharing

MEV Exploitation in DeFi

Frontrunning and sandwich attacks cost users billions annually due to transparent mempool visibility

How Polkadot AI Mesh Works

Five-step process for decentralized AI compute execution

Step 1

Submit AI Job

Upload inference or training tasks via SDK with simple API calls

Step 2

Decentralized Compute Execution

Distributed across Phala and Acurast nodes for resilient processing

Step 3

Cross-Chain Payment via XCM

Pay with any parachain token using Polkadot's native interoperability

Step 4

Privacy-Preserved Results

Zero-knowledge proofs ensure data confidentiality throughout execution

Step 5

Smart City/DeFi Integration

Seamless integration with IoT networks and decentralized exchanges

Key Features

Four pillars powering the next generation of decentralized AI infrastructure

Cross-Chain AI Compute Mesh

Submit AI inference and training jobs to a decentralized network. Pay with any token via XCM. Web2 UX, Web3 infrastructure.

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DePIN Smart City Data

Cities monetize IoT sensor data through on-chain data NFTs. Privacy-preserving telemetry for traffic, energy, weather analysis.

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MEV-Resistant DeFi

AI-powered transaction routing and analytics. OpenGov integration for community-driven anti-MEV policies.

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Developer SDK

TypeScript SDK for building AI copilots and automation agents. Plug-and-play modules for the entire parachain ecosystem.

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Technical Architecture

Four interconnected layers powering decentralized AI infrastructure

Compute Layer

Phala Network, Acurast

Confidential computing nodes execute AI workloads in trusted execution environments (TEEs)

Data Layer

Robonomics, Centrifuge, DePIN Networks

IoT sensor data streams, on-chain data NFTs, and privacy-preserving telemetry aggregation

Privacy Layer

Zero-Knowledge Proofs, Aleph Zero

zkSNARKs ensure data confidentiality and verifiable computation without revealing sensitive inputs

DeFi Layer

HydraDX, Polkadex, XCM

Cross-chain payment rails, MEV-resistant trading, and automated liquidity routing

Use Cases

Built for three key personas across the Web3 ecosystem

Deploy AI Agents with SDK

TypeScript-first SDK with full type safety

Pre-built templates for common AI workflows

Seamless integration with all parachains

Built-in monitoring and analytics dashboard

User Flow

1

Install SDK

2

Configure API Keys

3

Deploy Agent

4

Monitor Performance

Ecosystem Integrations

Partnering with leading Polkadot parachains for seamless interoperability

P

Phala Network

Confidential Computing

A

Acurast

Decentralized Compute

H

HydraDX

Cross-Chain Liquidity

P

Polkadex

Orderbook DEX

R

Robonomics

IoT & Robotics

C

Centrifuge

Real-World Assets

●
Built on Polkadot

Network Metrics

Real-time performance statistics from the Polkadot AI Mesh network

0+

Compute Nodes

0

Parachains

0%

Uptime

Global Coverage

Compute nodes distributed across 25+ countries ensuring low-latency AI inference and data processing for smart cities worldwide.

Energy Efficient

75% lower energy consumption compared to traditional cloud AI providers through optimized parachain execution and resource sharing.

Ready to Build on the Mesh?

Submit your proposal and join the next generation of decentralized AI infrastructure

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