Autonomys is pleased to share that Fry Networks has integrated Auto Drive, gaining direct access to Autonomys’ Distributed Storage Network (DSN) for permanent, tamper-proof, on-chain data storage.
This integration establishes Auto Drive as the permanent public record layer for Fry Networks’ distributed physical infrastructure, a deliberate choice to make the network’s real-world activity, geographic coverage, and operational health independently verifiable on-chain, so trust is earned through proof, not asked for on faith.
Fry Networks is building a distributed physical infrastructure network (DePIN) where hardware nodes deployed around the world run sensors and execute compute tasks. Each node continuously collects real-world measurements across multiple sensor categories, with more being added over time.
Fry Networks uses Auto Drive as the permanent storage layer for this sensor data. Auto Drive is Autonomys’ S3-compatible gateway to its Proof-of-Archival-Storage (PoAS)-powered DSN, where stored data inherits the permanence, immutability, and cryptographic verifiability guarantees of the Autonomys Network itself.
In practice, this means every hourly data record produced by Fry Networks’ global node fleet is written permanently to Autonomys’ decentralized storage layer, where it remains tamper-resistant and publicly verifiable indefinitely.
The following data pipeline is implemented by Fry Networks and shared here for clarity and accuracy.
Each Fry Networks node samples sensor data every minute. Raw samples are aggregated into hourly Parquet files before upload, reducing storage overhead while preserving statistical fidelity.
The current data types stored are (with more to come):
Bandwidth: Download and upload speeds sampled every minute, aggregated into hourly records capturing average, minimum, and maximum Mbps values along with peak usage hours.
GNSS/Satellite: GPS fix quality, satellite count, and HDOP (Horizontal Dilution of Precision) scores per node, proving each node’s location reliability over time.
Radiation: Ambient ionizing radiation measurements in CPM (counts per minute), µSv/h (microsieverts per hour), and mR/h (milliroentgens per hour), representing a continuously updated environmental sensing record.
Acoustics: Ambient noise levels in dBFS (decibels relative to full scale), providing environmental monitoring data from each node’s physical location.
AI Tool: Per-node uptime ratios, tasks completed per hour, and memory usage statistics, proving AI workload execution across the network.
Before any data is uploaded to Auto Drive, Fry Networks applies two privacy redaction steps: GPS coordinates are coarsened to approximately 250 km² H3 hexagonal grid cells (removing precise location data while preserving geographic distribution information), and IP addresses are stripped entirely. The resulting Parquet files contain no personally identifiable information.
Aggregated, privacy-redacted Parquet files are uploaded to Auto Drive using its S3-compatible API. Once written to Autonomys’ DSN, each file is assigned a unique content identifier (CID) and stored permanently on-chain across Autonomys’ globally distributed network of storage nodes.
Trustless Verifiability for Investors and Partners
Fry Networks’ primary motivation for choosing Auto Drive is eliminating the need to ask stakeholders to trust a dashboard the team controls. Because data is written to Autonomys’ on-chain storage layer, anyone can independently retrieve and verify the raw records: node count over time, geographic coverage, uptime ratios, sensor outputs, and AI workload execution. The data is not hosted by Fry Networks. It lives on Autonomys’ DSN, where the protocol’s PoAS consensus makes it tamper-resistant by design.
S3-Compatible Integration
Auto Drive’s S3-compatible API allowed Fry Networks to integrate without building against a novel protocol interface. The upload pipeline plugs directly into existing tooling, reducing integration friction and development overhead.
Permanent Record
By design, data written to Autonomys’ DSN cannot be deleted, modified, or made unavailable by any single party. For a network whose credibility depends on demonstrating consistent long-term operation, this permanence is not a feature. It is the point.
DePIN networks face a structural credibility problem: the data they publish about their own performance is inherently unverifiable if it lives in the infrastructure they control. Investors, partners, and users have no way to distinguish a thriving network from a well-maintained dashboard.
Fry Networks’ integration with Auto Drive resolves this directly. By writing operational data permanently to Autonomys’ DSN, Fry Networks transforms its activity record from a set of claims into a set of on-chain facts. Node counts, geographic coverage, sensor outputs, and AI workload execution are now independently auditable by anyone, at any time, without requiring trust in any party.
This is the infrastructure model that serious DePIN networks will need to adopt as the sector matures. Data permanence and independent verifiability are not competitive advantages. They will be baseline requirements.
Autonomys is proud to support the Fry Networks team as they build out their global node infrastructure. Their approach to operational transparency through on-chain data anchoring reflects exactly how we think permanent storage should be used: not as a passive archive, but as an active trust mechanism that makes network claims independently verifiable by design.
Start building on Auto Drive: ai3.storage
Documentation: develop.autonomys.xyz/sdk/auto-drive
Fry Networks is building the orchestration layer of interconnected networks: a “network of networks” that bridges protocols, systems, and devices into one cohesive data mesh. Founded and led by Samuel Fry, who brings over 15 years of experience in enterprise networking, cybersecurity, and systems architecture, Fry Networks ships real hardware across a growing range of device categories — including AI Edge Agents, Bandwidth Gateways, Satellite Sensors, Noise Sensors, and Radiation Sensors — with over 9,100 devices currently online and a Bring-Your-Own-Device (BYOD) program that allows individuals and organizations to connect compatible hardware directly into the mesh. The network’s Fry 2.0 evolution advances the project toward a sustainable, privacy-first, hardware-verified data layer, with Auto Drive serving as the permanent on-chain ledger that enables trustless, independent verification of network scale, geographic coverage, and operational health.
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The Autonomys Network — the foundation layer for AI3.0 — is a hyper-scalable decentralized AI (deAI) infrastructure stack encompassing high-throughput permanent distributed storage, data availability and access, and modular execution. Our deAI ecosystem provides all the essential components to build and deploy secure super dApps (AI-powered dApps) and on-chain agents, equipping them with advanced AI capabilities for dynamic and autonomous functionality.
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