ETHGlobal Prague 2025 Recap: Builders Redefine the Fair Data Economy with Akave x Filecoin x Protocol Labs

At ETHGlobal Prague 2025, we challenged developers to think beyond basic storage and build the next layer of data infrastructure, one that’s programmable, verifiable, and ready for production. Over the course of 48 hours from May 30th- June 1st, 21 builders took on the Build a Fair Data Economy prize track, hosted by and sponsored by Akave, Filecoin and Protocol Lab. From AI integrity to transparent gaming mechanics, builders showed what’s possible when you give builders access to decentralized, S3-compatible storage with cryptographic guarantees.
We kicked things off with Build & Bloom, a pre-hackathon workshop designed to give teams early access to Akave’s O3 SDK, hands-on support from the core team, and a first look at building private, AI-ready data pipelines. It laid the foundation for what turned into a weekend of bold, high-impact builds. To see the builders in action, check out our social posts.
Out of 21 submissions, three projects stood out for how seamlessly they integrated Akave into their stacks. Each one used Akave’s O3 APIs to solve real-world challenges—from AI verifiability to data labeling to transparent gameplay. What they built proves that decentralized storage isn’t just viable, it’s production-ready.
Here are the standout teams and how they used Akave:
🥇 1st Place — Proofs of Inference ($2,500)
A zero-knowledge ML proof marketplace. Users can request, verify, and pay for private AI inference using zk-SNARKs and decentralized storage.
How they used Akave:
They leveraged Akave’s O3 (S3-compatible) interface to store proofs, model verification keys, and metadata. With a custom backend module, they enabled a transparent and auditable record of AI inference, no centralized dependencies required.
🥈 2nd Place — Ontology ($1,500)
A crypto-native data labeling platform that turns ML annotation tasks into micro-bounties. By gamifying labeling, it opens up new ways to bootstrap clean data pipelines.
How they used Akave:
User-submitted images were stored directly in an Akave O3 bucket, giving the platform a decentralized backend that scales.
🥉 3rd Place — TruDelník ($1,000)
A provably fair game of risk and reward. Stake tokens, face escalating odds, and decide when to cash out. Win or lose, every move is recorded and verified.
How they used Akave:
Game outcomes are stored immutably using Akave’s S3-compatible interface, ensuring each round is backed by tamper-proof proof-of-play data.
From private AI proofs to transparent gameplay and decentralized labeling workflows, each project brought something real to the table.
We built Akave to give developers the tools to go further with their data. To move fast without compromising on control, cost, or compliance.
And if ETHGlobal Prague is any indication, the future of data is already being built.
Ready to join them?
→ Start building with Akave
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