10 Best DePIN Networks for AI Data Scraping in 2026

In this article, we will be examining Best DePIN Networks in artificial intelligence data scraping. These networks are unique in how they treat artificial intelligence systems and their ability to collect, store, and process data in a decentralized manner.

DePIN has established the first scalable AI data infrastructure leveraging blockchain technology and other physical and community resources. In this piece, we will outline the advantages of these network systems and how they impact the future of AI.

What is DePIN Networks?

Decentralized Physical Infrastructure Networks (DePIN) offer infrastructure construction and management via community-driven blockchain technology. Unlike centralized firms that control traditional infrastructure, participants of DePIN networks can provide physical resources of computing, storage, wireless connectivity, sensors, mappers, and data collection.

In return, DePIN network participants are rewarded with tokens. DePIN networks provide open, scalable and decentralized infrastructure for a variety of industries including: artistic intelligence, Internet of Things (IoT), Telematics, data storage and machine learning.

For advanced Artificial Intelligence (AI) systems, DePIN networks interconnect computing and data resources with decentralized data to enable training of advanced AI.

How To Choose DePIN Networks for AI Data Scraping

Data Quality and Accuracy

Focus on DePIN networks that offer reliable, accurate, and high quality datasets. AI models demand datasets that are both clean and diverse. So, networks that offer verified web data, sensor data, mapping data, or real world data, may improve the performance of machine learning.

Dataset Diversity

An optimal DePIN network will collect data from several sources including, but not limited to, users, IoT devices, sensors, cars, and contributors of a decentralized network. AI systems are able to reduce bias and develop more accurate systems via the utilization of diverse datasets.

Scalability and Network Capacity

Focus on DePIN networks that are aimed at mass collection and processing of data. AI systems are used in conjunction with large datasets requiring networks with large infrastructures, global contributors, and high transaction capacity.

AI Integration and Ease of Use

The most optimal DePIN networks will allow integration of AI systems and machine learning tools as well as APIs. Such networks will provide AI developers with the ability to utilize decentralized data for analytical and training purposes.

Data Privacy and Control

Contributors to a system of this nature should be provided with data ownership to define the boundaries of data control and privacy.

Storage and Data Availability

AI apps and services rely on large datasets, and reliable storage solutions are crucial. DePIN’s networks provide decentralized storage and permanent data availability with efficient data retrieval to enable AI model training and facilitate future research. Therefore, these networks are most suitable for AI applications.

Computing Infrastructure

Some AI tasks require a lot of computation. Frameworks offering decentralized GPU resources, distributed computing, and AI-centric infrastructure help make the deployment of models more efficient.

Security and Transparency

A reliable DePIN network should incorporate strong security and blockchain-verified computations, and incorporate operations that are as transparent as possible. Secure infrastructure reduces the risk of inaccurate data, manipulation, and unauthorized access.

Key Point

Network	Best For	Key Features
Grass (GRASS)	Web scraping + AI data	2.5M+ nodes, sovereign data rollup
Hivemapper (HONEY)	Mapping data	Driver dashcam mapping, enterprise deals
Helium IoT (HNT)	Sensor data	IoT + 5G devices, decentralized telemetry
WeatherXM	Weather data scraping	Thousands of IoT weather stations
GEODNET	GPS + geospatial data	GNSS data sharing, enterprise pilots
DIMO	Vehicle data scraping	Connected car analytics, automotive datasets
Filecoin (FIL)	Storage for scraped data	AI storage deals, decentralized cloud
Arweave (AR)	Permanent scraped data storage	Pay‑once model, 200‑year guarantee
BitTorrent (BTT)	Bandwidth scraping	P2P bandwidth, BTFS integration
io.net (IO)	GPU + AI scraping pipelines	Enterprise compute + Ray‑native toolin

1. Grass (GRASS)

Grass (GRASS) is a data network that enables peers to bring data to the internet by enabling them to use their spare bandwidth and internet services. AI companies can collect web data through a more defined and transparent data layer.

Grass (GRASS) incentivizes users through the issuance of tokens and allows bandwidth to be contributed through a light application. Compared to all other DePIN networks for AI data scraping, Grass (GRASS) specializes in developing large language models.

Integrating web data within an AI ecosystem is a difficult task. AI Grass (GRASS) enables data ownership while incentivizing contribution to web data which can then be used to train LLMs.

Feature	Details
Decentralized AI Data Collection	Grass creates a decentralized data layer where users contribute unused internet bandwidth to help collect publicly available web data for AI training and machine learning models.
AI Training Data Infrastructure	The network helps AI companies access large-scale datasets required for developing large language models (LLMs), improving data diversity and availability.
Bandwidth Sharing Model	Users can share unused internet resources through Grass nodes and participate in a decentralized data ecosystem.
Transparent Data Origin	Grass focuses on providing traceable and verifiable data sources, helping AI developers understand where training information comes from.
Community-Powered Network	Instead of relying on centralized scraping companies, Grass uses a global contributor network to build AI data infrastructure.
Token Incentives	Contributors can earn GRASS rewards for supporting network operations and providing valuable resources.
AI-Focused DePIN Layer	Grass specifically targets the AI data supply chain by connecting decentralized contributors with AI developers.

2. Hivemapper (HONEY)

Hivemapper (HONEY) is a decentralized mapping DePIN network that uses dashcams and vehicles to collect real-world street data. The captured data are then processed into geospatial data and maps that are used to support the various AI models and autonomous driving technologies.

Traditional mapping systems use expensive centralized fleets to collect geospatial data. Instead, Hivemapper utilizes a distributed global data collection system.

As one of the Best DePIN Networks for AI Data Scraping, Hivemapper provides valuable visual datasets for AI training, computer vision and location-based intelligence. Contributors are remunerated with HONEY tokens in proportion to the quality and utility of the mapping data contributed. 

Feature	Details
Decentralized Mapping Network	Hivemapper builds a global map database using community-operated dashcams and vehicles collecting real-world street imagery.
AI-Powered Mapping Data	The network uses artificial intelligence to process road images and create updated geographic datasets.
Real-Time Geographic Data	Contributors continuously capture fresh road information, making the data useful for AI mapping and autonomous systems.
Community Data Contribution	Drivers worldwide contribute mapping information and receive HONEY rewards for valuable data.
Computer Vision Support	Hivemapper provides visual datasets that can train AI models for navigation, robotics, and transportation applications.
Enterprise Data Marketplace	Businesses can access decentralized mapping information for logistics, fleet management, and location-based services.
Global Road Coverage	The network focuses on creating a continuously updated alternative to traditional centralized mapping platforms.

3. Helium IoT (HNT)

Helium IoT (HNT) is a decentralized wireless data network that allows devices to communicate through community-owned hotspots.

The network provides a global layer for connectivity to sensors, trackers, and smart devices. AI systems rely on volumes of real world data. Helium provides an infrastructure upon which such data can easily be collected and shared.

Among the Best DePIN Networks for AI Data Scraping, Helium IoT allows AI developers to access distributed machine generated data from the real world. The network provides connectivity to support smart cities, logistics, environmental monitoring, and decision-making systems.

Feature	Details
Decentralized Wireless Infrastructure	Helium provides community-powered wireless connectivity for IoT devices through distributed hotspots.
IoT Data Collection	The network enables sensors and connected devices to transmit real-world data for AI applications.
Community Hotspot Network	Individuals can operate hotspots and contribute wireless coverage to expand the network.
Proof-of-Coverage System	Helium verifies that physical infrastructure providers are delivering actual wireless network coverage.
Machine Data Access	AI systems can use IoT-generated information for smart cities, logistics, automation, and analytics.
Token Reward Mechanism	Hotspot operators receive rewards based on network participation and useful infrastructure contribution.
Scalable Connectivity Layer	Helium supports large-scale device communication without depending completely on traditional telecom networks.

4. WeatherXM

WeatherXM uses community run weather stations for hyperlocal environmental data collection. Individuals and businesses can earn by contributing data to WeatherXM. Its data is highly valuable for the advancement of AI models for climate prediction, agriculture analytics, disaster forecasting, and environmental research.

WeatherXM, like most Best DePIN Networks for AI Data Scraping, provides access to weather data collected by thousands of sensors across the world in a decentralized form. The weather data supports AI models for localized prediction of temperature, humidity, rainfall, and atmospheric data.

Feature	Details
Decentralized Weather Data Network	WeatherXM collects climate information through community-owned weather stations distributed globally.
Real-Time Environmental Data	The network provides temperature, humidity, rainfall, and atmospheric information for AI analysis.
AI Weather Intelligence	Weather datasets can improve forecasting models, agriculture AI, and climate prediction systems.
Community Weather Stations	Users can operate weather devices and contribute valuable environmental information.
Hyperlocal Forecasting	The network provides localized weather data that traditional forecasting systems may not capture.
Data Monetization Model	Contributors can receive rewards for supplying accurate weather information.
Sensor-Based Infrastructure	WeatherXM combines physical sensors with blockchain incentives to create decentralized climate intelligence.

5. GEODNET

GEODNET is a decentralized geospatial network of precision GNSS. GEODNET provides reference stations for high-precision GPS positioning. The network focuses on supplying location correction to the agriculture, autonomous vehicles, robotics, drones industries, and AI mapping.

GEODNET constructs a blockchain-based infrastructure for physical positioning systems and geospatial data. They have a marketplace for selling reliable, high-accuracy location data to build trust in the infrastructure of digital positioning systems.

Feature	Details
Decentralized GPS Infrastructure	GEODNET provides high-precision positioning data through distributed GNSS reference stations.
Real-World Location Data	The network collects accurate geographic information useful for AI mapping and autonomous systems.
Precision Agriculture Support	Farmers and AI platforms can use accurate positioning data for smart farming applications.
Autonomous Vehicle Data	GEODNET supports navigation systems requiring highly accurate location information.
Community GNSS Stations	Individuals can deploy GNSS stations and contribute positioning infrastructure.
AI Geospatial Applications	The network supports robotics, drones, mapping, and location-based AI services.
Token Incentives	Contributors receive rewards for providing valuable positioning data.

6. DIMO

DIMO is a data network for connected automobiles that empowers owners to share data and electronic automotive information. The data network aggregates performance, driving behavior, diagnostic, and maintenance data as well as sensor information.

AI firms develop advanced systems for passenger transportation, predictive maintenance, and automated driving with the use of this data. As one of the Best DePIN Networks for AI Data Scraping,

DIMO facilitates the open data marketplace for data ownership and user control. The network links real vehicles with AI, enabling developers to access data for machine learning and toolsets for real-world mobility.

Feature	Details
Decentralized Vehicle Data Network	DIMO allows vehicle owners to securely share automotive data through connected devices.
Vehicle Sensor Data Collection	The network collects information such as vehicle performance, driving behavior, and diagnostics.
AI Mobility Applications	Vehicle datasets can support predictive maintenance, transportation AI, and autonomous driving systems.
User Data Ownership	DIMO gives vehicle owners more control over how their data is shared and used.
Connected Vehicle Infrastructure	The platform connects cars, applications, and businesses through decentralized technology.
Data Marketplace	Companies can access vehicle insights for insurance, mobility, and automotive research.
Token Rewards	Users can earn rewards for contributing valuable vehicle information.

7. Filecoin (FIL)

Filecoin (FIL) is a secure, scalable, and extremely large storage data infrastructure that uses blockchain technology. AI firms need huge volumes of data for model training, and they utilize a massive storage capacity to house their datasets, research data, and other resources. Filecoin allows users to share their data across Decentralized Storage Service Providers instead of using only centralized cloud services.

Filecoin encourages the growth of the AI data ecosystem with its large scale decentralized data storage and retrieval. Filecoin’s marketplace based model enhances data availability, redundancy and accessibility for developers of sophisticated AI tools.

Feature	Details
Decentralized Storage Network	Filecoin provides distributed storage infrastructure for large-scale datasets and digital information.
AI Dataset Storage	AI companies can store training datasets, research files, and machine learning resources securely.
Proof-Based Storage Verification	Filecoin uses verification mechanisms to confirm that storage providers are maintaining data properly.
Global Storage Marketplace	Users can rent storage capacity from independent providers worldwide.
Large Data Infrastructure	The network supports enterprise-level storage requirements for Web3 and AI applications.
Data Availability	Filecoin improves access to datasets by reducing dependence on centralized cloud providers.
FIL Incentives	Storage providers earn FIL rewards for contributing reliable storage capacity.

8. Arweave (AR)

Arweave is a permanent storage network for data created to keep archived information at cost. Unlike other storage solutions, Arweave uses a one-time payment model to store data permanently.

AI-researchers and developers can use it to store their datasets for AI training, research documentation, web archiving, and other resources for their practices. As one of the most effective DePIN networks for AI data scraping,

Arweave helps to sustain accessibility over time to stored data. The network is best suited for researchers who work with historical datasets and records and other AI info and data that needs to be available and transparent for the development of future models.

Feature	Details
Permanent Data Storage	Arweave focuses on long-term decentralized storage using its permanent data preservation model.
AI Dataset Preservation	AI researchers can store valuable datasets, models, and research information permanently.
Decentralized Archive System	The network creates a permanent archive of digital information accessible over time.
One-Time Payment Model	Users pay once to store data instead of recurring storage fees.
Data Reliability	Arweave protects important information from loss or centralized control.
Web Data Preservation	The network supports decentralized web archives and historical data storage.
AR Token Economy	Storage providers participate in the ecosystem through AR-based incentives.

9. BitTorrent (BTT)

BitTorrent is a peer-to-peer (P2P) data distribution protocol that enables digital information to be shared over decentralized networks. BitTorrent provides a great example of how a decentralized system can be used for large scale data distribution transfers without overreliance on centralized services. For AI, distributed systems of data sharing can be instrumental in the distribution of datasets, the sharing of models, and content delivery.

BitTorrent makes a solid foundation for peer-to-peer data transfers and therefore supports AI developers in cross-user data transfers by enabling them to scale through decentralization. BitTorrent reduces reliance on centralized data storage and delivery systems.

Feature	Details
Peer-to-Peer Data Sharing	BitTorrent enables decentralized distribution of digital files between network participants.
Distributed Bandwidth Usage	Users contribute bandwidth resources to improve global data sharing efficiency.
Large User Network	BitTorrent benefits from one of the largest decentralized file-sharing ecosystems.
Data Distribution Support	The network can support efficient movement of large datasets and digital content.
BTFS Integration	BitTorrent File System provides decentralized storage capabilities.
Community Participation	Users contribute resources and receive incentives through the BTT ecosystem.
Scalable Data Transfer	The network helps reduce dependence on centralized content delivery systems.

10. io.net (IO)

Development of a decentralized GPU computing network, io.net (IO), serves the purpose of providing scalable AI infrastructure by connecting dispersed computing resources.

AI models rely on heavy processing to be trained and used for inference as well as for data analysis. Thanks to io.net, developers have access to cost-effective, distributed GPU clusters.

While many other DePIN networks focus on collecting real-world data, io.net addresses the computational layer to process and analyze AI datasets. io.net is rated as one of the Best DePIN Networks for AI Data Scraping for its ability to provide AI companies with compute resources to allow the conversion of raw data to actionable intelligence. 

Feature	Details
Decentralized GPU Computing	io.net connects distributed GPU resources to provide scalable AI computing infrastructure.
AI Model Training Support	Developers can use decentralized GPU clusters for machine learning and AI workloads.
Cost-Effective Compute Access	The network provides an alternative to expensive centralized cloud GPU services.
Global GPU Marketplace	Independent GPU providers contribute computing power to the network.
AI Data Processing Layer	io.net helps process, analyze, and transform large AI datasets.
Machine Learning Infrastructure	The platform supports AI developers building advanced models and applications.
IO Token Rewards	GPU providers participate in the ecosystem through token-based incentives.

Comparison Table: Best DePIN Networks for AI Data Scraping

DePIN Network	Token	Primary Focus	AI Data Scraping Use Case	Key Infrastructure	Best For
Grass	GRASS	Decentralized Web Data Collection	Provides decentralized web data access for AI model training and LLM development by using distributed user bandwidth.	User-powered bandwidth network, AI data layer, web data collection	AI developers, LLM training, decentralized data sourcing
Hivemapper	HONEY	Decentralized Mapping	Collects real-world street imagery and geospatial data for AI vision models, autonomous vehicles, and mapping applications.	Community dashcams, AI mapping technology, geographic datasets	Computer vision, autonomous driving, logistics AI
Helium IoT	HNT	Decentralized Wireless Connectivity	Provides IoT-generated data from sensors and connected devices for AI analytics and smart infrastructure.	Community hotspots, wireless networks, IoT sensors	Smart cities, IoT AI applications, device networks
WeatherXM	WXM	Decentralized Weather Data	Supplies real-time environmental datasets for AI weather prediction, climate analysis, and agriculture models.	Community weather stations, environmental sensors	Climate AI, weather forecasting, agricultural intelligence
GEODNET	GEOD	Decentralized Geospatial Data	Provides high-precision GPS and location datasets for AI navigation, robotics, drones, and autonomous systems.	GNSS stations, positioning infrastructure, location data	Autonomous vehicles, robotics, AI mapping
DIMO	DIMO	Decentralized Vehicle Data	Collects vehicle information that supports AI-powered mobility, predictive maintenance, and transportation solutions.	Connected vehicles, automotive sensors, data marketplace	Automotive AI, smart mobility, vehicle analytics
Filecoin	FIL	Decentralized Storage	Stores large AI datasets, training files, and machine learning resources across distributed storage providers.	Distributed storage network, verification protocols	AI dataset storage, data security, Web3 storage
Arweave	AR	Permanent Data Storage	Preserves AI datasets, research files, and historical web information for long-term machine learning access.	Permanent storage layer, decentralized archives	AI research, dataset preservation, digital archives
BitTorrent	BTT	Peer-to-Peer Data Distribution	Supports decentralized file sharing and efficient distribution of large datasets for digital applications.	P2P network, distributed bandwidth, BTFS storage	Data distribution, decentralized content delivery
io.net	IO	Decentralized AI Computing	Provides distributed GPU resources for processing AI datasets, model training, and machine learning workloads.	GPU marketplace, decentralized compute clusters	AI computing, ML training, AI infrastructure

Quick Ranking: Best DePIN Networks for AI Data Scraping

DePIN Network	Main Strength
Grass (GRASS)	Best for decentralized AI web data collection
io.net (IO)	Best for decentralized AI computing power
Filecoin (FIL)	Best for AI dataset storage
Hivemapper (HONEY)	Best for AI mapping and visual data
GEODNET	Best for AI geospatial applications
DIMO	Best for automotive AI data
Helium IoT (HNT)	Best for IoT-based AI data collection
Arweave (AR)	Best for permanent AI data archives
WeatherXM	Best for climate and weather AI datasets
BitTorrent (BTT)	Best for decentralized data distribution

Conclusion

Decentralized Physical Infrastructure Networks (DePIN) help construct a new ground level infrastructure for AI data collection with blockchain technology along with real-world devices and community-driven infrastructure.

Pioneering DePIN Networks for AI Data Scraping, like Grass, Hivemapper, Helium IoT, WeatherXM, GEODNET, DIMO, Filecoin, Arweave, BitTorrent, and io.net enable AI developers to utilize a variety of decentralized data, storage, and computing services.

Grass targets decentralized web data collection for AI training, while Hivemapper, WeatherXM, GEODNET, and DIMO offer real-world data from mapping, weather, location, and connected vehicle sensors, respectively. Filecoin and Arweave, along with other storage networks, guarantee secure, accessible, and persistent AI datasets for future machine learning.

As AI proliferation continues to increase, DePIN networks will become increasingly important for reducing reliance on centralized data providers and for creating more open data ecosystems Due to their focused infrastructure for decentralized data collection, storage, and computing, DePIN networks will likely become the foundation of the next generation of AI applications when integrated with distributed computing infrastructure and advanced machine learning frameworks.

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