Decentralized infrastructure
Connecting enterprise clouds to AI without moving the data
A permission-aware indexing layer that makes content across a company's existing clouds answerable by AI assistants, alongside a decentralized Web3 storage network.
Indexing
Permission-aware
AI access
MCP connectors
Storage layer
IPFS network
Data movement
None
The challenge
Enterprise documents live scattered across Google Drive, SharePoint, Slack, S3 and half a dozen other clouds. Pointing an AI assistant at that material usually means copying it somewhere new, which multiplies storage cost, breaks the permissions that governed it, and leaves a second copy to secure.
What we built
Lorqe designed and engineered StorageChain end to end, from the indexing pipeline to the Web3 storage network.
We built StorageChain to index content where it already sits. The AI Connect platform creates vector embeddings across connected clouds and carries each source's folder-level access controls through to query time, then exposes the result to ChatGPT, Claude, Gemini, and Copilot over MCP connectors. On the Web3 side, files are stored across a distributed node network on IPFS rather than in one provider's data center.
See it for yourself. StorageChain is live and open to anyone. Nothing on this page is a mockup.
Visit storagechain.io