Protocol Labs

The problem

The Web3 stack demanded infrastructure that had not been built yet — content-addressed storage at consumer scale, storage markets that clear economically, and tooling that engineers outside the crypto-native world could actually use. IPFS and Filecoin needed to move from research to production, and the gap between research artifact and shipping service is where most protocols get stuck. That gap is not conceptual — it's the accumulated engineering work of operational tooling, deployment patterns, integration surfaces, and the practical decisions that decide whether a protocol becomes infrastructure or stays a proof of concept. For IPFS and Filecoin, the work included node operations, storage deal orchestration, retrieval optimization, and the developer surfaces that made both protocols usable for non-specialists.

Key challenges

Moving a protocol from research to production surfaces the class of problems research isn't designed to solve: how does the network behave under real workloads, what happens when providers churn, how do you reconcile eventual consistency with the mental model application developers expect, and how do you keep operational cost sane while decentralization is intrinsically less efficient than centralized alternatives. Each of these is a full engagement.

What we built

AR Data delivered engineering on IPFS and Filecoin infrastructure — production node deployments, storage tooling, retrieval optimization, and integration work that moved decentralized storage from protocol spec to shipping service. The engagement covered operational patterns (node sizing, replication strategies, monitoring), developer surfaces (SDKs, tooling, documentation-adjacent engineering), and integration paths that gave enterprise teams a usable on-ramp. This work is why we currently ship Koneksi's ransomware-protection product on IPFS + Filecoin, why Delta Storage exists as a friendly IPFS front door, and why decentralized storage is a live service line in our current consulting practice rather than a legacy skill.

Our approach

1. 1

   Ship the operational tooling first

   Protocols are only as good as their operational surface. The early engineering focus was node deployment patterns, monitoring, and the tooling operators actually need — the layer research typically leaves for later.

2. 2

   Optimize retrieval, not just storage

   Filecoin as a storage market clears; the harder problem is fast, reliable retrieval. A lot of engineering went into retrieval optimization for the workloads customers actually run.

3. 3

   Build for the non-crypto-native developer

   Consumer-scale adoption requires developer surfaces that don't require crypto expertise. The SDKs, tooling, and integration patterns targeted engineers who wanted to use the storage, not learn the protocol.

4. 4

   Enterprise integration patterns

   Enterprise adoption needs BAA-friendly infra, audit trails, and compliance-legible operations. The engagement produced patterns that translated to enterprise customer requirements.

Key architectural decisions

Results

• Production IPFS deployments handling real workloads
• Filecoin storage tooling in operational use
• Enterprise integration patterns and SDKs
• Ongoing consulting depth that informs current client work (Koneksi, Delta, and others)
• Contributions to the broader IPFS/Filecoin ecosystem
• Operational patterns that translate to enterprise compliance requirements

Impact

The Protocol Labs engagement is where our decentralized-tech expertise was earned. Everything we ship in that space today — Koneksi ransomware protection, Delta Storage, Filecoin Data Tools engagement, IPFS-anchored patterns across our smart contract work — traces back to the operational depth built during that period. It's why we're able to scope decentralized-storage projects concretely rather than in abstractions.

Tech stack