Decentralized Storage

Production decentralized storage infrastructure.

AR Data builds and operates decentralized storage systems on IPFS, Filecoin, Arweave, and Sia — not as a managed service layer on top of the protocol, but as engineers who understand the protocol itself. The founder engineered IPFS and Filecoin infrastructure at Protocol Labs, the organization that created both. That is the baseline we bring to every engagement.

Most teams integrating decentralized storage are working from documentation and tutorials. We are working from production systems we built and operated at scale. There is a meaningful difference between understanding how a deal is made on Filecoin and having built the pipelines that made thousands of them. Between knowing that IPLD defines the data model and having modelled production datasets against it. Our work is the latter — and it shows in the systems we deliver.

What we build

Specific deliverables — not capability statements.

IPFS node infrastructure and cluster managementDesign, deployment, and operations of IPFS nodes and cluster configurations for enterprise workloads. This includes kubo-based deployments, cluster pinning coordination, peer discovery tuning, and bandwidth management across geo-distributed nodes.
Filecoin storage and retrieval deal pipelinesEnd-to-end deal-making automation: storage deal initiation, miner selection, deal health monitoring, retrieval market integration, and on-chain verification. We build pipelines that make Filecoin behave like a managed object store — without hiding the protocol.
Decentralized storage integration for enterprise applicationsBridging existing enterprise systems to decentralized storage backends — whether that means IPFS-backed asset pipelines, Filecoin archival tiers, or hybrid routing that selects storage based on cost, latency, and compliance requirements.
Custom IPFS implementationsNot all workloads fit standard Kubo deployments. We build custom IPFS implementations when performance or embedding requirements demand it. ZipFS is our own open-source implementation of the IPFS protocol written in Zig — purpose-built for environments where a full Go runtime is not acceptable. Shipped and available at github.com/10d9e/zipfs.
Content-addressed storage systemsArchitecting systems that use CIDs as primary identifiers, not as an afterthought. This includes IPLD data modelling, CAR file generation and import pipelines, and content routing strategies that take advantage of content addressing for deduplication and integrity guarantees.
Hybrid on-chain/off-chain storage architecturesMost production Web3 systems cannot live entirely on-chain. We design and build architectures that keep verifiable references on-chain — smart contract pointers, on-chain CID registries, merkle attestations — while storing actual content in the most cost-effective decentralized layer for that data type.
Decentralized CDN and data availability layersBuilding retrieval infrastructure on top of decentralized storage: edge caching for IPFS content, Saturn-compatible retrieval nodes, data availability sampling integrations, and gateway deployments that serve content with production SLAs.

The stack

The protocols, tools, and primitives we work with directly.

IPFSCore protocol for content-addressed networking
FilecoinDecentralized storage market and deal pipeline
KuboReference IPFS implementation (Go)
IPLDInterplanetary Linked Data — data model and codecs
CAR filesContent Addressable aRchives for data portability
CIDsContent Identifiers — the primary addressing primitive
Libp2pModular networking stack underlying IPFS and Filecoin
Sia RenterdDecentralized object storage via the Sia network
ArweavePermanent, pay-once decentralized storage
Deal-making enginesCustom Filecoin deal automation and orchestration
Retrieval marketsFilecoin retrieval deal pipelines and Saturn integration
ZipFSAR Data's own IPFS implementation, written in Zig

Protocol Labs pedigree

Built by the people who built the protocol.

AR Data's founder engineered IPFS and Filecoin infrastructure at Protocol Labs — the organization that invented both protocols. This is not a team that learned decentralized storage from documentation or a Web3 bootcamp. This is production infrastructure built at the organization where the protocols were designed, iterated, and deployed at scale.

That depth is the foundation for Delta Storage — a production decentralized storage product we have shipped and operate. Delta Storage is the kind of system that only gets built when you understand the protocol well enough to work around its rough edges, optimize its performance characteristics, and make it behave reliably for end users. See Delta Storage.

When clients engage AR Data for decentralized storage work, they are not getting a systems integrator who knows how to call an API. They are getting engineers who have operated at the protocol layer — who understand why content routing behaves the way it does under load, how Filecoin's retrieval market actually works, and what it takes to run IPFS at enterprise scale without it becoming a maintenance liability.

Enterprise use cases

Where decentralized storage delivers real value in production environments.

Data archival and complianceLong-term archival to Filecoin or Arweave with verifiable on-chain proof of storage — audit trails that can be validated without relying on a vendor's word.
Content distributionUsing IPFS and decentralized CDN layers to serve assets globally without centralised origin infrastructure. Content addressing means any node that has the data can serve it.
NFT and digital asset storageProperly decentralised NFT storage — CIDs in smart contracts pointing to IPFS or Filecoin content, not HTTP URLs pointing to a server that can be taken down.
AI training data storageStoring and versioning large datasets with content addressing. CIDs make dataset versions cryptographically distinct and reproducible — important for ML reproducibility and audit requirements.
Regulatory-compliant data residencyDesigning decentralised storage topologies that satisfy data residency requirements — pinning policies that constrain where data lives geographically while preserving decentralisation benefits.
Backup and disaster recoveryOff-site backups to decentralised storage networks as a cost-effective alternative to hyperscaler cold storage — with cryptographic integrity guarantees and no single vendor dependency.

Why decentralized storage matters

The fundamental problem with location-addressed storage — the model every cloud provider uses — is that a URL tells you where data is, not what it is. If that location changes, the link breaks. If the server goes down, the data is inaccessible. If the vendor decides to remove the content, it is gone. Enterprise systems that depend on data being permanently accessible should not be built on infrastructure that can fail at the discretion of a third party.

Content addressing solves this at the protocol level. A CID is a cryptographic hash of the content itself — it is the same no matter where the data is stored, and any node that has the data can serve it. You can verify that what you received is exactly what was stored, without trusting the server you received it from. That is not a product feature. It is a property of how the data is identified.

The practical consequences matter for enterprise: censorship resistance means your data cannot be taken down by infrastructure providers acting under external pressure. Data permanence means archival storage can be proven, not just claimed. Cost reduction at scale is real — decentralised storage markets create pricing competition that cloud incumbents do not face. Elimination of single points of failure follows from the distributed architecture. None of these are theoretical. They are properties that show up in production.

Why AR Data

Protocol Labs pedigree is the starting point. The founder built IPFS and Filecoin infrastructure at the organization that invented both — that is the depth we bring to client engagements. The systems we deliver are not demos or proof-of-concepts. They are production infrastructure built by engineers who have operated these protocols under real-world conditions.

Agentic workflows make us meaningfully faster than traditional delivery. That is not a claim about effort — it is a claim about throughput. We run agentic systems across research, code generation, testing, and documentation. The engineering judgment that directs those systems comes from 20+ years of enterprise delivery at Oracle, IBM, Protocol Labs, Macquarie, Scotiabank, and Iron Mountain. Faster delivery does not mean lower quality — it means we can take on the scope that other shops cannot close.

We are based in Canada and work with enterprise and growth-stage clients who need decentralized storage expertise they cannot hire in-house. If your organization is serious about building on IPFS, Filecoin, or the broader decentralized storage ecosystem, we are the team to call.

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