An EVM-compatible decentralized storage network secured by EigenLayer, offering verifiable storage for AI data and Web3 applications.
DataHaven is an EVM-compatible decentralized storage network that provides verifiable, tamper-proof storage for AI training data, machine learning models, and Web3 applications. It uses cryptographic commitments anchored on-chain to prove data integrity, separating storage from verification. The network is secured by EigenLayer's restaking protocol and built on StorageHub's decentralized storage infrastructure.
Developers and organizations building AI/ML pipelines, DePIN applications, or Web3 dApps that require provable data integrity and decentralized storage solutions. It's also suitable for teams needing cross-chain storage with Ethereum compatibility.
Developers choose DataHaven for its combination of verifiable storage proofs, Ethereum compatibility, and security backed by EigenLayer's restaking. It offers a production-ready decentralized storage solution with cryptographic guarantees, avoiding reliance on trusted intermediaries.
An EVM compatible Substrate chain, powered by StorageHub and secured by EigenLayer
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Files are chunked and hashed into Merkle trees with roots anchored on-chain, enabling cryptographic proof of tamper-evidence as described in the storage workflow section.
Leverages EigenLayer's restaking protocol for validator security with slashing for misbehavior via AVS contracts, providing robust economic guarantees from Ethereum.
Full Ethereum support via Frontier pallets allows deployment of Solidity smart contracts and use of familiar Web3 tooling like MetaMask, easing integration for developers.
Two-tier provider system with MSPs for retrieval and BSPs for replication ensures data availability through on-chain slashing for failed proof challenges.
Native trustless bridging with Ethereum via Snowbridge enables seamless token and message transfers, enhancing connectivity for cross-chain dApps.
Setup requires multiple tools like Kurtosis, Docker, and Foundry with a steep learning curve, as noted in the prerequisites and common pitfalls sections.
The verifiable storage model involving chunking, hashing, and on-chain commitments can introduce latency compared to traditional centralized storage systems.
As a newer project built on StorageHub and EigenLayer, it may lack the extensive tooling, documentation, and community support of established alternatives.
Relies on EigenLayer and StorageHub; changes or issues in these dependencies could impact DataHaven's stability and functionality, adding operational risk.